Case Studies

How organisations have transformed their AI operations—from stalled pilots to scaled implementation.

Full case studies publishing Q2 2026. Below: the types of challenges we solve.

Financial Services

How a financial services firm scaled their document AI from one team to twelve

Challenge

AI-powered document processing pilot succeeded but failed to scale across 12 regional offices

Approach

Built Intelligence Core with standardised context documentation, deployed champion-led rollout

Full case study coming Q2 2026

Technology

Breaking through the adoption plateau in customer support AI

Challenge

Customer support AI achieved 60% deflection in pilot but adoption plateaued at 30% organisation-wide

Approach

Redesigned verification loops, embedded change management training, created feedback mechanisms

Full case study coming Q2 2026

Professional Services

From fragmented AI experiments to coordinated intelligence operations

Challenge

Multiple AI initiatives running in parallel with no coordination or shared learning

Approach

Consolidated into unified Intelligence Core, established decision memory system

Full case study coming Q2 2026

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