Government agencies face mounting challenges: aging infrastructure, staff shortages, growing volumes of data, and heightened regulatory scrutiny. Manual document processing and siloed systems slow operations and increase the risk of errors, missed deadlines, and audit failures.
Built to solve public sector challenges, Adlib helps governments stop fighting with files, and start focusing on what matters: delivering timely, accurate, and cost-effective services to the people they serve. Whether it’s scanned welfare applications, engineering drawings, council meeting minutes, or email correspondence, Adlib transforms unstructured documents into searchable, shareable, and compliant formats ready for review, reporting, or AI processing.
Adlib integrates seamlessly with government content ecosystems—like FileNet, SharePoint, SMART, and OpenText—while supporting secure cloud, hybrid, or on-prem deployments. With its bring your own LLM AI architecture, Adlib allows agencies to extract actionable insights from high-volume content using their preferred AI models (e.g., OpenAI, Gemini, Anthropic) while maintaining data sovereignty and auditability. Human-in-the-loop validation workflows further ensure high data integrity and compliance with mandates like FOIA, CPRA, NARA, and FIPS.
From processing hundreds of thousands of welfare forms in municipal offices to rendering 500 ASCII-based communications per hour for federal archival in the SMART system, Adlib is already powering critical workflows across the public sector. Cities like Sacramento are reducing processing costs by thousands of hours per month. Agencies like KDOT have automated over 100,000 document workflows in OnBase. INL, DOE, and GSA rely on Adlib for 100% of their administrative document workflows.
Adlib empowers government teams to:
By delivering pixel-perfect rendering, full-text OCR, data extraction, and intelligent routing within a low-code/no-code environment, Adlib turns unstructured document chaos into structured, compliant content pipelines—unlocking faster outcomes, reduced risk, and meaningful cost savings across government services.