Scaling Document Processing and Decision Making for a Global Public Sector Consultancy with Agentic AI

THE PROBLEM

A Manual, High-Stakes Workflow Buckling Under Operational Pressure

This federal organization faced a universal challenge. Growing document volumes, inconsistent formats, handwritten entries, and unstructured data created operational strain across teams. Staff spent significant time on repetitive tasks like classification, data entry, and validation. Each document required careful interpretation, which made the workload difficult to scale without sacrificing accuracy.

Global workforce shifts placed further pressure on business processes. Retirements, turnover, and rising regulatory requirements made it harder for teams to meet service expectations. Manual workflows introduced delays, created backlogs, and limited the organization’s ability to streamline operations. Processing times stretched into minutes per document, slowing downstream decisions and increasing costs.

The workflow was uniquely difficult to automate. Traditional automation technologies could not interpret documents containing handwriting, varied layouts, or ambiguous fields. Systems based on predefined rules or rigid templates frequently failed in dynamic environments. Extracting structured data from highly variable inputs required machine learning, natural language processing, and computer vision working together.

Human judgment was still required for dozens of nuanced checks across multiple systems. This created risk, reduced consistency, and made quality control harder, especially under volume swings. The organization needed agentic AI systems that could perform complex tasks independently while keeping humans in the loop to provide oversight and resolve edge cases.

THE SOLUTION

A Secure Agentic AI System Built for Complex, Document-Heavy Operations

The organization partnered with a vertically specialized agentic AI platform designed for high-stakes workflows in regulated industries. Using a set of coordinated AI agents, they built an automated system capable of processing documents end-to-end while improving data quality and decision accuracy over time.

Quick and Highly Accurate Document Processing

Document AI agents classified packages containing multiple document types, extracted key details, and recognized both structured and unstructured data. The system successfully interpreted digital scans, varied state formats, and handwriting without relying on predefined rules. It captured essential information such as identities, stamps, dates, addresses, and cause-of-death fields with high accuracy.

Data-Driven and Consistent Decision Making

A decision-making agent transformed extracted data into consistent, explainable outcomes. It applied validation logic, calculated review flags, and produced pass or fail decisions aligned with policy. Each action included a rationale and evidence trail suitable for audit and compliance.

Agentic Orchestration and Human Oversight

Through an automated workflow, employees could review, correct, or override results. Edits fed directly into a feedback loop that trained the agents to get better over time. The system balanced automation with human oversight, ensuring accurate output data, reduced errors, and alignment with operational policies.

The combined approach gave the organization secure, explainable, and compliant automation capable of supporting continuous monitoring, scaling across jurisdictions, and integrating with existing business operations.

THE RESULTS

Faster Throughput, Higher Accuracy, and a Scalable Foundation for Automation

Processing Time Reduced Dramatically

End-to-end processing time fell from 3 to 6 minutes to 51 seconds, enabling automated workflows to complete tasks previously dependent on human involvement. This increase in speed unlocked measurable productivity gains and reduced costs at scale.

Accuracy Surpassed Operational Benchmarks

Across 54 document packages, extraction accuracy met or exceeded targets across nearly all fields. Many fields achieved 98 to 100 percent accuracy after iterative tuning. Decision AI also delivered strong precision, meeting target thresholds for key determinations and showing clear paths to near-perfect performance.

Consistent, Repeatable Decisions and Greater Capacity

Automated processes reduced variation in decisions that previously depended on individual reviewers. Agentic AI tools enabled more complex tasks, supported data quality improvements, and reduced the likelihood of errors that can occur with manual review.

The organization now operates with production-ready agentic systems capable of learning from feedback and adapting to new jurisdictions, layouts, and regulatory requirements. The platform strengthened audit readiness and provided transparency through confidence scores, documented logic, and structured workflows.

About the Customer

A global consultancy specializing in public sector automation, responsible for processing sensitive citizen-facing documentation. The group operates in a regulated environment where accuracy, compliance, and reliability are essential for mission success.