Contact Center AI for Government: QA, CX Analytics & AI Oversight
Public sector contact centers carry a workload most private companies never see: benefits eligibility, claims and case status, permits and licensing, tax and revenue questions, veterans and student services, 311 and constituent requests, and the surge that arrives with every open enrollment window, filing deadline or emergency declaration. The agencies handling that volume run on a mix of CCaaS, CRM, workforce and quality systems, often across in-house teams and contractor-staffed centers, and the people responsible for service quality spend their week reconciling reports instead of coaching.
AmplifAI is the AI-native customer intelligence and enterprise action platform built for contact centers, and it is designed to sit above the systems an agency already owns rather than replace them. It runs one continuous loop. Gather data from 150+ cloud, on-premise and homegrown sources, including recorded calls, chats, emails, survey commentary and the metrics your platforms already report. Connect the dots so every interaction is tied to the constituent, the contact reason, the channel and the person or AI agent who handled it. Harness intelligence through a governed layer of prompts, guardrails and verification that scores 100% of interactions against your own quality forms, flags compliance misses such as a skipped disclosure or an incomplete identity check, and surfaces the call reasons and sentiment shifts behind the numbers. Orchestrate actions by routing the right next step to the right role: a coaching session for a supervisor, a recognition for an agent, a process fix for program leadership.
For government, the practical outcomes are the ones budget offices and oversight bodies ask about. Quality review moves from a small sample to every interaction without adding evaluators. Supervisors get hours back each week and spend them on the associates who need them, which supports retention in roles that are hard to refill. Contractor and BPO performance is measured on the same scorecard as internal teams, from your data rather than vendor self-reporting, so sourcing decisions rest on evidence. Chatbots, voice bots and IVAs are held to the standard your live teams already meet, with variants tuned to each workforce, so an agency can expand automation without losing sight of what it delivers to the public.
Security is built for regulated work. AmplifAI is SOC 2 Type II, ISO 27001, HIPAA, PCI and GDPR compliant, and aligned with the CMS ARC-AMPE framework, which draws on NIST SP 800-53 Rev. 5. Data is encrypted with AES-256 in transit and at rest, access is governed by SSO and role-based controls, PII and PHI are redacted before AI processing, and models run on internally hosted LLMs, so agency data never reaches public APIs and is never used to train models for other customers. Deployment can be region-locked, on-premise, private cloud, or inside an agency's own FedRAMP-authorized Azure environment. Through Carahsoft, public sector organizations can procure AmplifAI on the contract vehicles they already use.
FAQ
AmplifAI connects the data an agency already produces (calls, chats, emails, CRM, workforce and survey systems) into one view, scores 100% of interactions for quality and compliance, and turns the results into next best actions for agents, supervisors and program leaders. Agencies use it to replace sampled QA, give supervisors time back for coaching, and measure in-house, contractor and AI-handled interactions on one standard.
No. AmplifAI sits above the platforms you already run and reads from them, with 150+ supported sources including NICE, Genesys, Five9, Amazon Connect, Salesforce, Verint and Snowflake. It adds the performance and quality layer; it does not require re-platforming.
Data is stored in a logically segregated environment per customer, encrypted with AES-256, and can be region-locked or deployed on-premise, in a private cloud, or inside the agency's own FedRAMP-authorized Azure environment. AI runs on internally hosted LLMs; your data never reaches public AI APIs and is never used to train models for other customers. PII and PHI are redacted before AI processing.
Yes. AmplifAI transcribes and scores conversations handled by chatbots, voice bots and IVAs on variants of the same scorecard your live teams use, weighted for each workforce, and it scores the handoff between an AI agent and a person. Findings route to coaching for people and to engineering fixes for AI agents.
Yes. Internal teams and BPO or contractor partners report into one data model, so quality, resolution and cost per contact are compared on independent scorecards built from your data rather than vendor self-reporting. Calibration runs across vendors so scores mean the same thing everywhere.