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.
How a financial services firm scaled their document AI from one team to twelve
AI-powered document processing pilot succeeded but failed to scale across 12 regional offices
Built Intelligence Core with standardised context documentation, deployed champion-led rollout
Full case study coming Q2 2026
Breaking through the adoption plateau in customer support AI
Customer support AI achieved 60% deflection in pilot but adoption plateaued at 30% organisation-wide
Redesigned verification loops, embedded change management training, created feedback mechanisms
Full case study coming Q2 2026
From fragmented AI experiments to coordinated intelligence operations
Multiple AI initiatives running in parallel with no coordination or shared learning
Consolidated into unified Intelligence Core, established decision memory system
Full case study coming Q2 2026
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