Case studies

Real Challenges. Real Results.

Explore how AI can turn business challenges into measurable improvements.

These are illustrative examples of the problems we solve, not reports on named client projects. Ask us for references relevant to your sector.

Financial Services · Illustrative

Prioritising suspicious transactions

Challenge: Analysts spend most of their day on alerts that turn out to be false positives.

Approach: A model scores each alert and explains why, so analysts review the riskiest cases first.

Healthcare · Illustrative

Challenge: Referral letters arrive in many formats and wait days to be read and routed.

Approach: Document AI extracts the key details and drafts a routing suggestion for staff to confirm.

Manufacturing · Illustrative

Challenge: Unplanned equipment stoppages disrupt production schedules.

Approach: Sensor data is analysed to flag early signs of failure so servicing can be planned.

Retail · Illustrative

Challenge: Support volumes spike seasonally and simple questions take up agents' time.

Approach: An AI agent resolves routine requests and hands complex cases to people with context.

Public Sector · Illustrative

Challenge: Citizens struggle to find answers across hundreds of policy pages.

Approach: A cited assistant answers from approved content and routes the rest to caseworkers.

Technology · Illustrative

Challenge: Model spend grows faster than usage as AI features scale.

Approach: Model routing, caching and evaluation keep quality steady while reducing cost per request.

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