Full case studies publishing Q2 2026. Below: the kinds of decision loops we close.
Case Studies
The kinds of decision loops we close inside UK mid-market firms. How the Intelligence Core makes each next loop easier.
From one team to the whole firm: scaling document AI without losing the gain
A document processing pilot worked on one team but stalled when the firm tried to roll it out across its regional offices.
Built the Intelligence Core that made the firm's knowledge machine-readable, then ran a champion-led adoption programme office by office.
Full case study coming Q2 2026
Closing the support loop so the agent actually got used
A customer support agent worked in pilot but most of the team kept routing around it. The loop wasn't closing.
Rebuilt the decision loop: tightened where the agent could act, where a human signed off, and how the feedback fed back in.
Full case study coming Q2 2026
From scattered experiments to one core every agent plugs into
Several AI experiments running across the firm in parallel. No shared context, no shared learning, no coordinated owner.
Consolidated into one Intelligence Core, with a decision memory system every future agent plugs into.
Full case study coming Q2 2026
Facing something similar?
Book a free assessment. We'll name the one decision loop worth closing first.
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Thirty founder-led minutes. No pitch, no framework deck, no junior taking notes. We'll look at what you're already running, name the one loop worth closing first, and tell you honestly whether it's worth doing at all.
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