Founder
Corentis is being built around a practical control layer for regulated AI workflows.
The founder story
The starting point is simple: AI can help teams move faster, but regulated organisations need clearer control before AI outputs become real-world actions.
Why this problem
Corentis was created from the belief that AI adoption will fail if organisations cannot control what AI does at the point of action.
Why now
AI is moving from answering questions to drafting replies, updating records and triggering workflow steps. That shift needs a checkpoint before action.
Why start with regulated workflows
Regulated workflows combine productivity pressure, customer sensitivity, evidence requirements and human accountability.
What Corentis is aiming to prove
The goal is to prove a repeatable control pattern through focused design partner pilots.
Why complaints and vulnerable-customer workflows are the wedge
They combine customer sensitivity, operational pressure, escalation needs, evidence requirements and reputational risk in one concrete workflow.
What Corentis is trying to prove next
The next step is not a broad claim about all regulated AI. It is a focused proof path: one sensitive workflow, clear control boundaries, scenario testing, human review and evidence artefacts that a buyer or partner can inspect.
Corentis remains early-stage and pilot-focused. The credibility comes from narrowing the problem to the action boundary: what should happen before an AI output becomes a customer message, case update, recommendation or workflow action?
What funding would help prove
Corentis Technologies Ltd is a UK private limited company registered in England and Wales under company number 17182737. Registered office: Suite A, 82 James Carter Road, Mildenhall, IP28 7DE, United Kingdom.