National Government Agency · Public Sector
Public Sector Benefits Eligibility AI
Automated the eligibility assessment process for a complex benefits programme, reducing processing time from weeks to hours while maintaining full audit trail compliance.
Primary Impact
67% faster processing time
Industry
Public Sector
Engagement
End-to-End Delivery

The Challenge
The Problem We Were Brought In To Solve
Manual processing of 50,000+ applications per month was creating a 6-week backlog. We built a rules-augmented ML eligibility engine with a human-in-the-loop review workflow for edge cases.
Our Approach
How We Engineered the Solution
Our team conducted a rigorous discovery process to understand the client's existing data landscape, systems architecture, and team capabilities. We designed a bespoke solution architecture tailored to the client's constraints — balancing performance requirements against infrastructure cost, regulatory compliance, and maintainability. Every design decision was validated against the primary success metric before a single line of production code was written.
AutoML
Explainable AI
Public Sector
The Outcome
Measurable Results Delivered
Primary Metric Achieved
67% faster processing time
The solution was deployed to production within the agreed timeline, with full handover documentation, operational runbooks, and a 90-day monitoring period to ensure stability. The client's team was trained on the new platform and the system has continued to perform within SLA parameters since launch.
Similar Use Cases

Financial Services
Algorithmic Fraud Detection
Deployed a real-time stochastic scoring engine capable of analyzing millions of transactions per second to detect fraudulent patterns before authorization.

Healthcare
Enterprise Knowledge RAG
Unified decades of fractured clinical and operational data into a secure, private LLM search infrastructure, accelerating research and operational compliance.