The ROI of Document Automation in the Public Sector

Public sector agencies face mounting pressure to deliver faster, more transparent, and citizen-centric services while operating within tight fiscal and workforce constraints. Yet many core government functions remain document-intensive. From benefits applications to tax filings, agencies continue to manage high volumes of paper forms, scanned files, and legacy records that slow decision-making and increase administrative burden.

This report examines how Intelligent Document Processing (IDP) can strengthen the public sector value chain. By transforming disparate document types into reliable, structured data, agencies can accelerate processing timelines, reduce error rates, improve auditability, and enhance service delivery outcomes. The report presents a structured framework to evaluate the return on investment (ROI) of IDP initiatives, assessing both quantifiable and non-quantifiable benefits. An illustrative tax form processing example demonstrates how scaling IDP adoption can significantly improve straight-through processing rates and deliver strong multi-year ROI, and enhance operational resilience.

To help agencies move from concept to execution, the report outlines a practical 90-day pilot roadmap that enables early value realization and builds organizational confidence before scaling. It also explores emerging innovations, such as generative and agentic AI integration, domain-specific models, and responsible AI frameworks, to support secure and auditable public sector deployments.