Tag Archives: State and Local Government

How AI-Powered Records Management Transforms Government Operations from Reactive to Proactive

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Government agencies today must manage an unprecedented volume of digital documents. As digital transformation accelerates across Federal, State and Local agencies, the challenge is not just managing more content, it is extracting actionable intelligence while maintaining compliance, security and operational efficiency. Artificial intelligence (AI) has transformed enterprise records management, replacing manual processes with automated, predictive systems that improve decision making and resource allocation across the mission.

AI-Powered Auto-Classification for Document Management

Effective classification is the foundation of records management, and AI has altered this traditionally complex process. Modern AI models can accurately classify structured documents like invoices or purchase orders, with as few as ten training examples. This represents a major improvement over legacy systems that required zonal Optical Character Recognition (OCR) configuration, separator pages and precise layout specifications.

AI models employ multiple techniques, including computer vision, text extraction and contextual reasoning, to identify document types with high confidence. Unlike older pattern-matching tools, today’s AI adapts to variations in structure and format, making classification scalable for agencies managing thousands of document types across different departments.

Training has also become more accessible. Agencies can simply label documents, point the AI to those examples and generate a working classification system. Accuracy improves over time through human review, and confidence scores allow agencies to set thresholds and route low-confidence results to human reviewers.

Accurate classification directly impacts record retention, access control and content discovery. Without it, employees cannot find necessary documents, retention schedules are misapplied and access permissions become inconsistent. Robust AI-powered classification at ingestion ensures downstream processes function as intended.

Intelligent Data Extraction from Structured and Unstructured Documents

Once documents are classified, agencies must extract meaningful information, an area where AI delivers transformative capabilities. Modern machine learning models locate key-value pairs anywhere on a document, using contextual understanding rather than fixed positions or label formats. AI can also answer natural-language queries, mirroring human logic. If a person can explain how they would find a piece of information, that logic can be written as a prompt for the model.

These capabilities work across structured and unstructured formats. Work that previously required specialized staff and years of experience can now be configured with simple prompts. Confidence scoring ensures accuracy. When the model is uncertain, items are routed to human reviewers. This combines automation’s speed and consistency with human judgment where needed.

For Government agencies, AI extraction improves compliance and reporting. Licensing applications, permit requests, inspection reports and countless other documents can be automatically processed, with extracted data populating systems of record and triggering workflows. Information once locked in PDFs or paper becomes structured, searchable and actionable.

AI-Driven Deduplication and Data Quality Management

VisualVault, AI-Powered Records Management blog, embedded image, 2025

Duplicate data is a productivity drain and a compliance risk. Redundant documents accumulate quickly across forwarded emails, multiple repositories and inconsistent processes. This creates unnecessary work, consumes storage and complicates compliance with data retention requirements.

Legacy deduplication relied on hash matching, but this fails to detect most real-world duplicates. AI-based deduplication analyzes document classifications and extracted metadata to determine true duplicates based on agency-defined rules. If the elements match according to customer rules, the system flags the items as duplicates regardless of differences in headers or formatting.

This content-based deduplication reduces storage costs, simplifies retention compliance and minimizes cybersecurity exposure. Retaining unnecessary data increases legal risk during litigation and discovery and expands the attack surface for cyber threats. AI allows agencies to retain only necessary data, reducing operational and security liabilities.

Enhanced Workflow Automation with Predictive Analytics

High-quality, classified and extracted data unlocks the full value of predictive analytics, enabling Government agencies to shift from reactive problem-solving to proactive planning. This capability uses historical data to predict outcomes, such as numeric values, binary decisions or multiclass classifications.

Platforms like VisualVault allow agencies to train predictive models without data science expertise. Professional services teams configure the models, demonstrate how they work and train agency employees to manage them.

Public sector agencies already use predictive analytics to forecast safety incidents at licensed facilities. Historical inspection data comprised of conditions, violations and corrective actions allows models to identify facilities with a high probability of future serious events. When inspections reveal patterns associated with increased risk, inspectors and licensing officials are automatically alerted, enabling early intervention.

Predictive analytics also strengthens performance management. Agencies can compare their metrics against industry norms, seeing where they stand within their sector. This supports investment decisions and enables precise tracking of improvement outcomes.

Agencies should focus on automating controls that meaningfully reduce, not simply increasing the percentage of automated controls. High-impact controls should be prioritized for automation and predictive monitoring to maximize security and operational benefits.

For decision makers, predictive analytics delivers the context and accuracy needed to make fast, informed decisions across claims, vendor management, resource allocation and strategic planning.

Digital Transformation as Organizational Necessity

Despite rapid technological advancement, human expertise remains essential. AI systems are designed to operate behind the scenes and do not require users to understand machine learning (ML) concepts. Small teams define the required outcomes, what must be classified, what data must be extracted and what predictions will improve decisions, while professional services configure the system accordingly.

AI adoption does not inherently reduce headcount. Historically, technology shifts transform jobs rather than eliminate them. Workflows move from manual tasks like sorting documents to higher-value work such as analysis, decision making and innovation. Employees focus on defining requirements, reviewing AI outputs and applying human judgement where it adds value.

The Measurable Value of AI Implementation

Agencies can begin their journey by identifying their key performance indicators and the business outcomes they want to improve:

  • What pain points cause the most friction?
  • Where do backlogs accumulate?
  • Which processes create the most risk?

This ensures implementation is tied to measurable outcomes. AI success depends on clear requirements, proper process, staff training and strong governance. Agencies should adopt AI incrementally, starting with high-value use cases that deliver quick wins, then expanding into more complex workflows and predictive models as confidence grows.

Digitization mandates and the rise of generative AI have accelerated content creation beyond expectations, driving significant growth for platforms like VisualVault. The agencies that succeed will be those that embrace this shift and modernize now.

Watch VisualVault’s webinar “Employing AI to Bring Order and Value to Enterprise Records Management” to explore detailed demonstrations of AI-powered classification, extraction and predictive analytics capabilities that can transform your agency’s records management operations.

Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including VisualVault, we deliver solutions for Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.

Building Sustainable Automation: How Government Agencies Can Scale IT Operations for the AI Era

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Despite investing in numerous automation tools, Government agencies still struggle to achieve true operational efficiency. The issue is not a lack of technology, but the need to better align organizational processes with automation strategies. Agencies often find that automation scattered across teams does not equate to automation at scale.

For State and Local Government agencies navigating budget constraints, workforce transitions and mounting pressure to adopt artificial intelligence (AI), understanding how to make automation sustainable is now mission critical.

Understanding the Foundation

The most effective automation transformations begin not with technology selection but with process evaluation. Agencies that achieve lasting results recognize that automation amplifies existing workflows, accelerating efficient processes while exposing areas in need of standardization. The key lies in establishing organizational readiness before scaling solutions.

Experience shows that technical excellence alone does not guarantee adoption. Many organizations implement advanced automation tools only to see them underutilized because processes were not standardized first. This pattern repeats across ticketing, project management and AI initiatives when solutions are deployed before process design. Sustainable change requires equal focus on culture, workflow and collaboration.

The distinction between organizational and technical capability becomes clear during initiatives like enterprise-wide patching. While patching might appear technically simple, it requires coordination across teams, standardized processes and consistent execution. When approached strategically, patching strengthens structures and communication across departments.

Moving Beyond Linear Scaling

Traditional methods for managing IT complexity have centered on workforce expansion, but modern infrastructure requires new thinking. As organizations add personnel to manage new systems, coordination overhead grows, reducing visibility and collaboration, which then drives additional staffing needs. This challenge extends beyond budgets. Larger teams face higher coordination demands, and IT professionals often overlook their time as an organizational resource until capacity constraints emerge. The question is not just about staffing; it is about designing systems that scale efficiently.

For Government agencies, this issue is especially pressing. Retirements and limited hiring flexibility leave positions unfilled, putting institutional knowledge at risk and resulting in expanding workloads for current employees. In this environment, automation becomes a strategic enabler for maintaining service levels and mission delivery. Manual processes scale linearly, while infrastructure complexity grows exponentially. Centralized automation helps break this cycle by handling routine operations, freeing staff to focus on work that demands human expertise.

Creating Connected Workflows

Sustainable automation strategies move beyond isolated, team-specific implementations toward centralized platforms that enable consistent workflows across the organization. Many agencies have distributed automation capabilities, where infrastructure teams automate provisioning, security teams automate compliance validation and network teams automate configuration, but these workflows often lack seamless integration.

Red Hat, Building Sustainable Automation blog, embedded image, 2025

A single application deployment spans multiple domains, such as provisioning, networking, security scanning, compliance validation and monitoring. When automation operates independently, staff must still coordinate manual handoffs between automated steps. According to Conway’s Law, organizations design systems that reflect their communication structures; fragmented communication results in fragmented architecture.

Centralized platforms address this by establishing shared, standardized automation for common tasks. Instead of multiple teams maintaining separate scripts, one validated and documented process can serve all. This approach enhances auditability, improves consistency, enables scalable growth and eliminates redundant development. Updates to shared workflows require modifying a single authoritative source rather than tracking changes across multiple implementations.

Importantly, centralization is as much about culture and process as technology. Success depends on clear communication of the value of standardization, demonstrating tangible benefits and building trust that centralized approaches will serve all teams effectively. When alignment is achieved, automation platforms reach their full potential, transforming disconnected efforts into unified, scalable operations.

Building the Foundation for Advanced Technologies

The growing interest in AI has created momentum for agencies to explore new solutions, but success requires careful groundwork. Agencies realize the greatest benefits from AI when they first established stable, standardized automation foundations. MIT research shows that 95% of enterprise AI solutions encounter challenges not because of model quality but due to integration difficulties and organizational readiness. Effective AI deployment depends on how well technology integrates within existing workflows.

Many agencies have expanded infrastructure incrementally, developing complex architectures held together by manual processes and specialized expertise. Deploying AI on such foundations is difficult. AI cannot effectively optimize systems when the underlying processes lack consistent automation. In practice, agencies deploying AI to optimize Customer Relationship Management (CRM) operations or automate incident response achieve better results when data and workflows are standardized. This consistency enables organizations to act confidently on AI-driven insights.

Building AI readiness involves working backward from AI’s requirements: integrated systems that share data reliably, standardized processes that AI can learn from and consistent execution that produces trustworthy patterns. Agencies that mature their automation capabilities create the foundation AI needs to succeed, significantly improving the likelihood of achieving meaningful results from AI investments.

Partnering for Success

Achieving sustainable automation is a progressive journey best supported by experienced partners. Leading strategies emphasize a “crawl, walk, run” approach:

  1. Start with a manageable scope
  2. Expand systematically
  3. Build organizational capability over time

This measured progression ensures transformation occurs sustainably for the teams implementing and maintaining these systems.

Many agencies are undertaking comprehensive automation for the first time, making guidance from experienced organizations like Red Hat particularly valuable. Effective partnerships emphasize knowledge transfer over dependency, helping agencies build autonomous, capable teams rather than relying on long-term external support.

The results of this approach are measurable. Red Hat customers have achieved 50% faster networking provisioning, 65% reductions in certain provisioning activities and 67% improvements in other operational areas, freeing staff for innovation and strategic initiatives. These gains also reduce unplanned downtime and improve the overall quality of life for IT teams.

This journey addresses multiple organizational objectives simultaneously. Leadership achieves cost optimization and stronger security, while practitioners gain time, efficiency and better work-life balance. Sustainable automation delivers across these dimensions because the same standardization that drives efficiency also enhances security and empowers staff to focus on meaningful challenges.

Government agencies have reached a pivotal moment where growing infrastructure complexity demands a more evolved approach to IT operations. The path forward lies in fundamentally integrating automation into organizational processes and culture. By prioritizing standardization, embracing centralization and partnering for sustainable transformation, agencies can develop scalable automation strategies that prepare the organizations to leverage emerging technologies like AI.To discover proven strategies for building sustainable automation foundations that prepare your agency for advanced technology adoption, watch Red Hat’s webinar, “The Backbone of Modern Government: Sustainable Automation at Scale.”

Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including Red Hat, we deliver solutions for Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.

Billington CyberSecurity Summit: AI Takes Center Stage

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Premier U.S. Government cyber conference previews AI on offense, on defense and as a target

  • While adversaries can boost the quality and volume of attacks with artificial intelligence (AI), defenders will apply AI to counter attacks with predictive and proactive defenses.
  • The advent of Agentic AIs will accelerate this trend and provide more avenues for attack, but defenders will always have the advantage by being able to train AIs with proprietary information and use them to identify vulnerabilities before attackers do.
  • The transition to post-quantum cryptography will be an industry-wide heavy lift, with extensive rewriting of code to meet post-quantum standards.

Recently, I had the opportunity to share some of my experience and insights at the Billington CyberSecurity Summit in Washington, D.C. Moderated by Chris Townsend, Global Vice President of Public Sector at Elastic, our panel session, “The Future of Cyber Threat: Anticipating Threat Actors’ Next Steps,” explored how threat actors are evolving and what organizations can do now to prepare. Not surprisingly, AI was a hot topic. We also discussed quantum computing, emerging threats and the cybersecurity staffing shortage.

How Attackers Will Leverage AI

Attackers are already using AI to power their attacks, but it is important not to over-sensationalize the impact that AI is having because the proportion of AI-driven attacks is still quite small relative to the overall amount of malicious activity we are seeing. However, we expect that proportion to grow quickly.

One of the main ways attackers are using it now is to create phishing materials, because it addresses what is a weak point for many threat actors, who often are not native English speakers. Attacks that are technically sophisticated can fail because they begin with a spear phishing email whose spelling or grammar is wrong. Large Language Models (LLMs) solve that problem brilliantly because if there is one thing they are good at, it is creating plausible narratives in perfect English.

The other area we see attackers using it is to automate their work. We have already documented examples of code that appears to have been written by an AI.

In the short term, AI will not enable adversaries to do anything new, but we expect it to enhance the quality and volume of their attacks. AI is lowering the entry bar for threat actors. They do not even need to know how to code anymore. Naturally, the number of attacks will begin to go up.

In the medium term, the arrival of Agentic AI is likely to accelerate malicious activity levels, since agents can act autonomously, further minimizing the level of input needed from attackers.

We have already done some research on how agents could be abused and proven that they can already be used to carry out a basic spear phishing attack and deliver malicious code to a target. Agents are still in their infancy, and it is only a matter of time before they become capable of carrying out more sophisticated attacks with minimal instruction.

Preparing For the Quantum Era

The advent of quantum computing presents another significant challenge for cybersecurity. Quantum computers have the potential to break current encryption standards, making it imperative for organizations to transition to post-quantum encryption algorithms.

Adversaries are already preparing for this shift. The “harvest now, decrypt later” strategy involves stealing encrypted data today with the intention of decrypting it once quantum computing becomes viable.

This process of transitioning to post-quantum encryption is not without its challenges. Decades of work have gone into refining and protecting the implementation of existing encryption methods, and we now face the task of revising and rewriting code using new, post-quantum standards. This will inevitably introduce a new generation of bugs, but we will have the benefit of AI to mitigate them.

It Does Not Stop Here

Conferences such as Billington are essential as we navigate this complex landscape. It embodies the Public and Private Sector collaboration that will be key to realizing better cyber defense outcomes moving forward. Together, with partners like Carahsoft delivering mission-critical industry expertise to U.S. Federal and Public Sector agencies, we can anticipate and counter the next generation of cyber threats, ensuring the safety and resilience of our digital ecosystems.

Learn more about how industry icons like Symantec and Carbon Black are putting AI on the front lines of cybersecurity.

Want to learn how Symantec, Carbon Black and Carahsoft can strengthen your cybersecurity posture? Contact us at Broadcom@Carahsoft.com for more information.

Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including Broadcom, we deliver solutions for Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.

This post originally appeared on security.com, and is re-published with permission.

Forecasting Resilience: How Atlas 14 Strengthens Stormwater and Sewer Design

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What forward-leaning State and Local agencies are doing to turn risk into readiness.

Most of us in public works know exactly what the National Oceanic and Atmospheric Administration’s (NOAA) Atlas 14 is, where it is used and why it matters. What has changed lately is not the definition, it is the urgency.

Across jurisdictions, we are seeing the same trend: Flood risk is up, funding scrutiny is rising and legacy assumptions are hitting resistance. The Federal Emergency Management Agency (FEMA) reports that over 75% of federally declared disasters are flood-related, and NOAA’s latest data shows record-setting rainfall intensity increasing across several states.

So, it is no surprise that design criteria anchored in decades-old rainfall estimates are facing hard questions during permitting and public review. For teams navigating FEMA, the National Flood Insurance Program (NFIP) and local requirements, the gap between historical design standards and current expectations has never been more apparent.

That is where updated Atlas 14 data is reshaping workflows—not in concept, but in practice.

A Familiar Tool, New Pressures

Atlas 14 has always been foundational, but recent updates and regulatory emphasis have made it non-negotiable in many contexts. Whether it is used to update a stormwater ordinance or justify capital investments, the message is clear: Designs that do not reflect this data face uphill battles—especially when tied to Federal funding.

In North Carolina, for example, several jurisdictions have already adjusted their stormwater management ordinances to explicitly require Atlas 14 integration. Fairfax County’s own guidelines mandate its use in culvert sizing and detention basin design. And in Texas, new flood risk mitigation plans are using Atlas 14 data as a baseline for grant applications under FEMA’s Building Resilient Infrastructure and Communities (BRIC) program. The bottom line: If your designs are not grounded in this data, your funding case—and your technical case—can be hard to defend.

With rainfall intensity trending higher across multiple regions, stormwater programs that once relied on 10- or 25-year benchmarks are now expected to model 50- and 100-year events—or even higher.

Design For What Is Likely, Defend Against What Is Possible

Colleagues across State and Local Government (SLG) are asking the same question: How can we use this data not just for box-checking, but for making better decisions? How do we defend design assumptions in permit review? How do we model flood events that reflect local topography and future rainfall patterns? How can we show that our Capital Improvement Plan (CIP) priorities align with resilience goals, rather than just meeting regulatory minimums?

That is where predictive modeling comes in. Teams using tools like Bentley OpenFlows Sewer or Bentley OpenFlows Storm are leveraging Atlas 14 as a referenced input to:

  • Run scenario comparisons based on updated precipitation probabilities
  • Assess cascading impacts across watershed and sewer networks

The result? Models that are both technically sound and strategically aligned—with funding cycles, risk standards and permitting expectations.

Join Leading Experts to Learn More

But even with strong tools and solid data, the path forward is not always clear. We have heard from agencies weighing how to phase in new standards across legacy systems, how to navigate inconsistencies between State and Federal expectations and how to model flood risk in a way that resonates with both engineers and elected officials.

It is time to take a practical look at how SLG agencies are integrating Atlas 14 into their workflows, especially as new standards and funding opportunities continue to evolve.

Join us on November 13, 2025, to learn more.

If your team is mapping out what is next—or preparing to defend the next infrastructure request—this session will offer insight into what is working across the sector.

Conclusion

We do not need to be convinced of the value of Atlas 14. We use it every day. But as expectations shift and standards evolve, how we apply it matters more than ever.

This is not about reintroducing the data. It is about strengthening the decisions built on it.

Join us for Bentley and Carahsoft’s webinar, “Future-Proofing Flood Modeling: Meeting Today’s Federal Standards and Tomorrow’s Flood Risks,” on November 13, 2025. Register Now.

Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including Bentley, we deliver solutions for Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.

From Insights to Intervention: Building Safer Roads with Smarter Data

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Safety threats do not always wait for the next inspection or make themselves obvious. A missing stop sign, a tilted guardrail or debris from a recent storm can pose real dangers long before a complaint is filed or a crash occurs. Near real-time visual data from crowd-sourced dashcam imagery allows agencies to detect these issues earlier, reducing the risk of collisions, confusion and liability.

This is not just about reacting to problems. It is about gaining continuous visibility across your road network. When you can see more, sooner, you prevent more and protect everyone who uses your roads.

Enable a Proactive Maintenance Culture

Proactive maintenance reduces risk by keeping infrastructure from reaching a failure point. It starts with awareness. With timely insights into pavement wear, fading striping or damaged safety features, you can fix problems before they become safety hazards.

Using this approach minimizes emergencies and reduces the need to send crews into high-risk, high-traffic situations. Over time, it is not just about saving money, it is about making safer and more intelligent decisions every day.

Do Not Let Blind Spots Become Risk Zones

Not every mile of the roadway gets equal attention. Areas that are not high-traffic or complaint-heavy can still hide dangerous issues, especially if they go uninspected for long periods.

Imagery from vehicles already on the road helps reveal what is often missed. It fills in the gaps between formal inspections, surfacing problems in places crews do not regularly visit.

Safety should not depend on luck or public reports. Every segment of your road network deserves consistent visibility.

Speed Recovery After Disasters

When a storm or crisis hits, minutes matter. Near real-time, image-based insights give agencies a fast way to assess damage and identify dangerous conditions, often before crews can access the scene.

Improved visibility enables quicker, more targeted responses. Agencies can clear routes, mark danger zones and stabilize infrastructure faster, protecting both the public and their crews.

The sooner you know what you are facing, the sooner you can act.

Awareness That Improves Safety Outcomes—Not Just Oversight

Effective safety programs do not rely on complaints, scheduled inspections or guesswork. They rely on data that reflects what is happening on the ground—frequently, consistently and with the scale to match the entire network.

Whether identifying early signs of pavement failure or responding to extreme weather events, increased awareness drives better outcomes: fewer emergencies, smarter spending and safer roads for all.

To learn how better information leads to safer roads, view Blyncsy’s portfolio.

Better Together: How Nutanix and Omnissa Are Transforming End-User Computing in the Public Sector

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Budget cuts and the pressure to do more with less has pushed IT leaders in State, Local and Education (SLED) organizations to consolidate tools and resources to increase operational efficiency. Simultaneously, the dynamic of workflows are changing; modern-day students and Government workers need secure access to resources from anywhere, at any time.

Integrated solutions are helping SLED organizations eliminate the unnecessary complexity and costs associated with maintaining separate solutions for storage, compute and networking components. The recent partnership between Nutanix and Omnissa offers SLED organizations a platform for managing End-User Computing (EUC) across agencies, states, cities and school districts.

Vendor Choice and Pricing Flexibility

Faced with higher costs and more restrictions, many SLED organizations are seeking alternatives solutions that can provide similar functionality without the associated vendor lock-in risks. The Nutanix-Omnissa platform offers multiple licensing options, including per-user models that offer greater flexibility than traditional bundled approaches. Organizations can choose the licensing model that best fits their usage patterns and budget constraints.

The solution also works with a wide range of server vendors including Dell, HPE, Lenovo, Cisco and more, allowing organizations to leverage existing hardware investments or choose vendors based on their specific procurement requirements. This enables different agencies within the same Government entity to standardize on the same technology stack, eliminating disparate systems.

Hybrid Cloud Security, Compliance and Resilience

SLED organizations must be able to provide remote access to sensitive data while simultaneously meeting strict compliance mandates. The Nutanix-Omnissa Horizon platform supports certified Government cloud environments, including FedRAMP, GovRAMP and GovCloud, ensuring consistent enforcement of security policies across on-premises and hybrid deployments. Department of Defense (DoD) certifications validate the platform for regulated workloads, while unified access gateway appliances deliver secure, compliant remote access.

To strengthen resilience, Nutanix provides automated disaster recovery and replication across sites and clouds, maintaining workload availability even during outages. Agencies can extend their EUC environments across AWS, Azure and soon Google Cloud, balancing scalability with compliance while preserving consistent management and licensing. When paired with Omnissa Horizon Cloud-Pod technology, the platform can provide a true multi-cloud solution including on-premises hybridity.

How Nutanix and Omnissa Are Transforming EUC, blog, embedded image, 2025

Simplified Infrastructure Management

Outmoded infrastructure management often requires specialized expertise across hypervisors, storage, networking components and management tools, creating operational overhead and increasing the risk of configuration errors or security gaps. The Nutanix-Omnissa Horizon integration streamline operations through Prism Central, a unified management interface for multi-cluster and hybrid environments.

The platform includes built-in capabilities for replication, disaster recovery and automated maintenance that traditionally required separate tools and specialized expertise. Lifecycle management capabilities automatically update firmware, software and system components with zero downtime, allowing organizations to perform maintenance during business hours and reduce human error during update processes.

Technical Differentiators and Release Roadmap

Beyond EUC management, the Nutanix-Omnissa Horizon solution introduces technical advantages like Clone Prep technology that enables extremely fast, reboot-free provisioning, delivering near instant clone performance. Nutanix’s metadata-based cloning and data locality ensure low-latency performance for Virtual Desktop Infrastructure (VDI) workloads, while built-in deduplication and erasure coding optimize storage efficiency. Additional features further strengthen the platform’s ability to meet complex SLED requirements, including:

  • Nutanix Files – scalable file services that can be used for user profiles and Omnissa App Volumes
  • Nutanix Flow – microsegmentation and network security
  • Nutanix Data Lens – ransomware protection and data insights

The partnership is rolling out in phases to ensure stability and customer success. Limited Availability (LA) is currently offered, supporting Windows 10 and 11 automated pools, graphics processing unit (GPU) support and Unified Access Gateway (UAG) appliances. General Availability (GA) is expected between December and March, adding capabilities such as:

  • Automated remote desktop service (RDS) farms
  • Windows Server operating system (OS) support
  • Federal Information Processing Standards (FIPS) mode
  • Workspace ONE Access on-premises integration

Proven Partnership with Enhanced Capabilities

Thousands of organizations already run Omnissa Horizon on Nutanix infrastructure using vSphere, demonstrating the maturity and proven nature of the underlying technology platform. The addition of AHV hypervisor support represents an evolution of an existing partnership rather than an experimental new venture, validated real-world organizations that participated in the beta program.

The partnership brings together the complete technology stack and expertise from both organizations. Omnissa brings over 15 years of Horizon and Workspace expertise, while Nutanix contributes hyperconverged infrastructure capabilities. Together, they deliver mature, field-tested solutions that reduce operational complexity, consolidate infrastructure and enable future growth with confidence.

To learn more about how this partnership can transform your organization’s EUC strategy, watch the complete webinar, “Unlock the Future of EUC for Public Sector: Horizon 8 on Nutanix.”

Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including Nutanix and Omnissa, we deliver solutions for Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.

More Coverage, Less Overhead: Rethinking Road Inspection Costs with AI-Driven Insights

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Trying to make your maintenance dollars go further without cutting corners on insight, safety or service?

If so, you’re not alone. With budgets often stretched and infrastructure demands growing, many agencies are reexamining how to get the most value out of every maintenance dollar. That’s why many are rethinking expensive, labor-intensive field inspections and turning to smarter, more cost-effective alternatives.

AI-analyzed dashcam imagery from commercial and fleet vehicles gives teams near real-time, visual insights into road conditions without the typical overhead. By using what’s already on the road, agencies can cut spending while getting even better data on pavement conditions, signage, lane markings and hazards.

Smarter Inspections. Real Savings.

Manual inspections can cost anywhere from $100 to $200 per mile, depending on the method and crew required. When you factor in vehicle costs, staffing, scheduling and delays, those expenses scale fast, especially for agencies managing thousands of miles.

AI-powered visual intelligence can reduce up to 90% of the manual inspections traditionally required for roadway condition assessment. That’s a considerable savings in time and money. In Hawaii, automated analysis of guardrails, striping and debris saved the state DOT over $900,000 by eliminating unnecessary field visits and allowing more strategic deployment of maintenance dollars.

With continuous AI-driven assessments, inspections shift from rigid schedules to condition-based decision-making. This allows agencies to focus their limited resources where the data shows they’re actually needed, maximizing impact while minimizing waste.

Lower Operational Strain, Lower Spend

Reducing fieldwork doesn’t just save time, it cuts expenses across the board. Fewer field deployments mean lower fuel costs, less vehicle wear and fewer overtime hours.

Instead of organizing additional field inspections, agencies can rely on regularly updated insights coming from existing vehicle networks. This reduces the need to expand teams or invest in specialized equipment to keep up with inspections. It also supports a safer inspection process by reducing risk exposure for field crews.

Better visibility leads to more accurate budgeting. Instead of flying blind—or relying on complaints—you can plan maintenance with precision, stretch your resources and avoid surprise repairs that blow up budgets.

Faster Recovery, Lower Emergency Costs

Storms, floods, and other disruptions can incur urgent, unexpected expenses. But quick, AI-enabled visual assessments can help reduce emergency costs.

Agencies can assess road damage without dispatching field teams immediately, saving time and protecting crews. Infrastructure inspections are evolving to include tools like Google Street View, providing a reliable “before” snapshot. Combined with dashcam imagery for the “after,” agencies can clearly analyze damage and document changes over time. That early insight supports faster funding requests and avoids the cost of blanket response measures that may not be necessary.

With centralized, visual data that’s easy to share, teams can streamline contractor coordination, skip redundant inspections and focus their limited funds where they’ll have the most impact.

Rewriting the Cost Equation

Road inspections don’t have to drain your budget. With AI-analyzed dashcam data, agencies are expanding visibility across their networks while significantly cutting costs.

The real value lies in shifting from reactive to efficient, insight-driven decision-making. From daily maintenance to emergency recovery, this model is helping public teams rethink how, and how much, they spend on inspections.

For any agency trying to do more with the same—or even less—budget, it’s time to rethink how inspections are conducted.

Discover more cost-effective inspections today.

How AI-Powered Compliance Solutions Are Transforming Regulatory Management for Government Agencies

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Government agencies manage between 12,000 and 40,000 regulatory obligations, with approximately 200 to 250 new regulatory alerts issued globally every day across the financial services sector alone. This escalating complexity is driving agencies to rethink their approach to compliance management, moving away from manual, reactive processes toward intelligent, proactive solutions.

The Overwhelming Scale of Modern Regulatory Compliance

Traditional compliance methods cannot keep up with today’s regulatory demands. In the U.S., the Securities and Exchange Commission (SEC) and the Financial Industry Regulatory Authority (FINRA) account for over 5,000 of those obligations. In the future, 74% of organizations anticipate even more regulatory activity, highlighting the rise and complexity of compliance requirements.

The challenge extends beyond just volume to the speed at which regulations evolve and their divergence across jurisdictions. Traditional methods—spreadsheets, siloed systems and manual tracking—leave agencies vulnerable to gaps and inconsistencies that can result in significant penalties and reputational damage.

For Government agencies, the stakes are even higher. They must demonstrate complete adherence to regulatory standards while maintaining public trust through transparency and accountability. This creates additional pressure on compliance teams to meet regulatory requirements in a way that can withstand public scrutiny and audits.

The Hidden Costs of Manual Compliance Operations

Manual compliance processes are costly and inefficient. A 10-person compliance team loses approximately $500,000 annually to manual tasks like monitoring, tagging, mapping and documentation—excluding the costs of fines and remediation. That time could instead be spent on strategic analysis and risk prevention.

A high employee turnover rate of 23% further inflates costs, as onboarding new analysts takes months. By the time they are fully trained, they are often ready to move on from routine tasks, creating a cycle of constant training, development and replacement.

Manual processes also introduce risks such as compliance gaps, failed audits and regulatory penalties. Organizations using manual processes experience 3.2 times more violations than those with automation. These inefficiencies contribute to the expectation that compliance costs will rise 6-9% annually through 2030, making automation a financial necessity.

AI as a Force Multiplier for Compliance Teams

Archer, AI-Powered Compliance Solutions Are Transforming Regulatory Management, blog, embedded image, 2025

Artificial intelligence (AI) serves as a force multiplier that can put the expertise of a 15- or 20-year analyst into the hands of an amateur. By delivering institutional knowledge and step-by-step guidance through complex processes, AI significantly reduces onboarding time for new team members.

Its impact is both immediate and measurable. AI-powered horizon scanning reduces the time analysts spend reviewing regulatory updates from hours to minutes, filtering out up to 95% of irrelevant alerts so teams can focus on the 5% that truly matter. Natural language further enhances efficiency by breaking down complex regulatory text into digestible summaries, helping teams quickly understand and act on new requirements.

Most notably, AI automates obligation extraction from dense regulatory text—a process that manually takes 5.3 hours per obligation and has a 14.6% error rate. AI identifies obligation statements, provides rationale and tags content for routing to the appropriate business units. In doing so, AI not only streamlines workflows but also ensures greater quality and accuracy over time through expert-in-the-loop validation.

End-to-End Lifecycle Management for Regulatory Changes

Modern compliance requires a holistic approach, from identifying regulatory updates to operational implementation and audit readiness. The true value comes from operationalizing these insights into frameworks, policies, controls and measurable testing programs. Yet only 38% of organizations successfully map regulatory changes through to updated controls and audit trails.

Lifecycle management starts with comprehensive horizon scanning and extends through policy governance, control alignment and continuous monitoring. When updates—such as tighter insider trading language—triggers changes, AI flags policy conflicts, creates change requests and ties them directly to relevant citations. This creates a clear audit trail, ensuring that modifications are documented, defensible and properly embedded back into the compliance framework.

AI also strengthens control management by flagging gaps between obligations and controls, identifying conflicts with evolving regulations and static policies—such as a privacy policy’s opt-in age that conflicts with new jurisdictional requirements—and recommending changes before violations occur. This creates a responsive system where regulatory changes automatically drive updates across policies, controls and audits.

Proactive Risk Management Through Intelligent Automation

Shifting from reactive to proactive compliance enables smarter risk management. Intelligent automation identifies potential issues before they become violations and informs decisions about expanding products and services or entering new markets. Instead of months-long manual assessments, agencies can use AI to instantly identify control gaps and readiness. This can speed up service expansion or help agencies determine not to proceed.

Automated insights also enhance leadership decision-making. By combining real-time monitoring with impact analysis, agencies can prepare for regulatory changes instead of responding after implementation deadlines. These capabilities yield real results: organizations leveraging AI-driven compliance systems report a 79% reduction in audit cycle times—from 42 days to nine—and 90% fewer evidence requests from business units.

The future of Government compliance lies in embracing intelligent automation that enhances human expertise rather than replacing it. By implementing AI-powered solutions that can manage the velocity and complexity of modern regulatory requirements, agencies can transform their compliance programs from reactive cost centers into proactive strategic assets.

To learn more about how AI-powered compliance solutions can transform your agency’s regulatory management approach, watch the full webinar “Archer Evolv Compliance” and view the solution brief for a deeper dive into the platform’s capabilities.

* All statistics referenced in this blog are sourced directly from the webinar on which this content is based.

Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including Archer, we deliver solutions for Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.

The End of Manual Inspections? How AI and Dashcam Imagery Are Redefining Roadway Management

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Years ago, as I waited at a traffic light, I wondered why infrastructure maintenance still leaned so heavily on manual inspections and reporting. That question sparked an idea: What if roads could tell us when something was wrong?

Today, that vision has become a reality. Dashcam imagery—passively captured from vehicles already on the road—is now powering automated AI models that detect issues like fading lane paint, damaged signs, and debris. Looking ahead, the integration of expansive imagery sources, such as Google Street View, promises to further enhance this capability, offering broader and more detailed coverage. It’s a shift from scheduled inspections to constant awareness, from sending crews out to bringing insight in.

Automation with Real Impact

Traditional inspections are resource intensive. They usually involve deploying extra staff and specialized equipment, and scheduling work during off-hours to avoid disrupting traffic. AI-driven visual intelligence of dashcam footage can reduce the number of manual surveys required by more than 90%, saving considerable time and money.

Take Fort Worth. Dashcam imagery gave the city a fresh look at lane striping and sign visibility, but from the driver’s perspective, not an aerial map. It’s how people experience the road daily, and it’s the same view automated vehicles rely on to safely navigate.

Instead of waiting months for a full inspection cycle, cities can spot and act on issues within days. Enabling faster response and more strategic use of limited resources.

Smarter Operations. Less Fieldwork.

While field checks are still common for most agencies, the model is shifting. With dashcam footage collected by vehicles already in motion and analyzed automatically, teams can now monitor more of the network without constantly dispatching field crews.

In Alaska, for example, dashcam data is used to monitor remote routes that are difficult and sometimes dangerous for crews to inspect in person. This kind of visibility can be a game changer for regions with tough geography or tight budgets.

Instead of following a fixed schedule or responding to complaints, agencies can now rely on AI-driven alerts to flag when conditions change. It’s a shift from routine patrols to focused action, and it means fewer trips to the field, less fuel, and better outcomes with the same (or smaller) team.

Compliance without the Complexity

Staying compliant with FHWA, MUTCD, and other federal standards typically requires a lot of paperwork. However, with AI-based monitoring, those checks can happen automatically in the background. Retroreflectivity, sign placement, and line clarity are continuously reviewed and documented.

Each data point is visual, time-stamped, and ready for audits, grant applications, or internal reviews. Even better, it’s easy to share. Operations, maintenance, and planning teams can stay aligned without sifting through emails or outdated spreadsheets.

A New Model for Infrastructure

The future of road operations isn’t about more inspections. It’s about smarter ones. Or, in many cases, none at all. When roads can essentially report their condition using dashcam footage and AI, agencies don’t have to guess or wait. They already know what’s happening.

And this is only the beginning. As capabilities such as historical imagery access and visual change detection over time emerge with Google Street View and become integrated, transportation teams will gain even deeper insight into how their infrastructure evolves. These images will empower agencies to identify long-term patterns, track degradation over time, and intervene before minor issues escalate into costly repairs.

For public teams expected to cover more ground with fewer resources, this isn’t just about saving time. It’s about working in a more intelligent, sustainable way, built for the demands of today’s infrastructure and ready for tomorrow’s.

Ready to stop checking and start knowing?

Transforming Public Sector Fleet Safety: How AI-Powered Solutions Drive Results and Build Employee Trust

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Despite advancements in vehicle safety technology, fatal vehicle crashes continue to rise. Notably, 87% of commercial vehicle crashes are caused by avoidable risky driving or driver error. For Public Sector fleet managers—whether overseeing school buses, emergency response vehicles or other municipal fleets—these trends jeopardize public safety, strain budgets and put essential services at risk.

Recent research shows the Public Sector is leading the way in addressing these challenges. While 32% of organizations globally have adopted artificial intelligence (AI), 58% of Public Sector organizations in the U.S. have done so, and 95% plan to increase their AI investments in the coming year.

The Critical Need for AI-Powered Fleet Safety Solutions

The Public Sector’s strong AI adoption reflects its commitment to smarter, more reliable service delivery. Solutions like Samsara’s Connected Operations Platform are transforming fleet management by integrating data from vehicles, assets and operations to enhance safety, efficiency and sustainability. Rather than solely relying on reactive measures, AI-powered tools enable drivers to self-correct in real time and give fleet managers predictive insights to prevent incidents before they occur.

AI is increasingly being applied across several key areas that directly impact public safety. Early implementations focus on driver behavior detection, predictive maintenance and fleet health monitoring to reduce downtime and ensure vehicle readiness. In parallel, AI-powered tools support route optimization and dispatch efforts, helping agencies respond faster and operate more efficiently. This shift from basic automation to proactive operations management marks a significant evolution in fleet safety.

Addressing Road Safety Challenges and Rising Costs

Public Sector fleets are facing growing road safety challenges that carry significant financial consequences. With crashes costing an estimated $340 billion annually, and insurance premiums rising 40% over the past decade, the impact on taxpayer-funded operations is substantial. The U.S. Chamber of Commerce Institute for Legal Reform reports that litigation costs have grown over 7% annually from 2016 to 2022, adding financial pressure on State and Local Government budgets. Every crash related cost diverts funding away from essential services like education, infrastructure and public health.

Samsara, Fleet Safety, blog, embedded image, 2025

Traditional safety measures alone are no longer sufficient. Distractions from mobile devices have surged—those who text and drive are 23 times more likely to crash. Speeding contributed to 29% of crash fatalities in 2022, and even a one- to two-hour sleep deficit can double crash risk. These preventable behaviors create challenges for Public Sector drivers who often work long shifts to meet community needs.

Technology like Samsara’s Connected Operations Platform offer a proactive solution to today’s fleet challenges. By providing real-time fleet visibility, driver coaching and predictive analytics, agencies can identify risky behaviors before they lead to incidents. Fleets that implement safety solutions often see a return on investment (ROI) within the first year through reduced collision costs, lower insurance premiums, decreased vehicle downtime and improved operational efficiency. For example:

Safety Technology Proves Effective and Resonates with Drivers

Driver buy-in is key for successful safety technology implementation. Research shows that 70% of drivers feel dash cams make driving safer, and 93% report becoming more aware of distracted driving after reviewing footage. Most notably, 90% of drivers prefer to stay with organizations that actively support safe driving habits.

When paired with real-time coaching, dash cams can reduce safety-related events by 52%. Samsara’s Connected Operations Platform enables drivers to self-correct through in-cab feedback. For example, Gwinnett County Public Schools reduced incident investigation times by 50% and harsh braking events by 60% in just three months, saving 400 administrative hours weekly and improving safety for 180,000 students with Samsara.

Strategies for Gaining Union Buy-In for Safety Technology

In unionized environments, successful technology implementation requires collaboration and transparency. The first step is establishing shared safety goals with input from fleet managers, drivers, union representatives, risk managers and administrators. Research shows that 100% of Public Sector leaders using or planning to use AI report positive employee perceptions when communication is clear and involvement is meaningful.

Unions often express concerns that dash cams could be used punitively. To address this, organizations should involve union representatives in shaping policies around data access, privacy safeguards and usage protocols. This collaboration builds trust and ensures policies reflect both operational needs and union priorities.

Transparency is critical: organizations must clearly document data access, usage guidelines and privacy protections, providing view-only administrative access to key union representatives and sharing audit logs of system changes maintains accountability and reassures unions that the technology is used fairly and appropriately.

Real-world exoneration stories highlight technology’s protective value. For instance, the City of Boynton Beach, used dashcam footage to exonerate a driver initially cited for rear-ending another vehicle; the evidence revealed the other driver was at fault, resulting in dismissal of the citation, legal claims being dropped and preventing unwarranted disciplinary action. Such cases show that safety technology protects drivers from false accusations and costly legal proceedings.

Public Sector organizations are uniquely positioned to leverage AI-powered fleet safety solutions that transform operations, build employee trust and deliver measurable ROI. With proven safety technology and collaborative implementation, agencies can achieve meaningful improvements in safety, cost control and operational efficiency—all while prioritizing transparency, employee engagement and shared safety goals.

Learn more about workforce technology trends transforming the Public Sector by exploring Samsara’s comprehensive research report.

Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including Samsara, we deliver solutions for Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.