Partners
Corentis is an early-stage UK AI assurance and control company seeking practical conversations around pilots, evidence and deployment.
Who we are seeking
Four conversations Corentis is ready for
Design partner pilot
Test one controlled AI workflow before production deployment.
Investor/funding discussion
Explore the checkpoint layer, commercial path and strategic asset potential.
AI assurance collaboration
Discuss runtime evidence, control matrices and assurance artefacts.
Regulated workflow walkthrough
Walk through a simple complaints/vulnerable-customer example.
Why Corentis fits innovation conversations
Corentis is designed around regulated AI assurance, safer AI deployment, operational control of AI agents, evidence generation, reusable infrastructure and UK-based AI product development.
Why this could become more than a single workflow product
The first wedge is narrow, but the control problem is broader: regulated teams need repeatable assurance mechanisms around AI outputs before they become action.
Why this matters now
AI adoption and agentic AI momentum are moving into operational workflows while regulated-service pressure and AI governance gaps remain visible.
McKinsey global AI survey
23% of respondents said their organisations are scaling an agentic AI system somewhere in the enterprise.
A further 39% said they had begun experimenting with AI agents.
McKinsey & Company, 5 November 2025
FCA complaints redress
Total redress in FCA complaints data was £283m in 2025 H1.
This was a 20.0% increase on the 2024 H2 figure of £236m.
Financial Conduct Authority, 23 October 2025
IBM / Ponemon
63% of breached organisations lacked AI governance policies to manage AI or prevent shadow AI.
IBM also reported that 97% of organisations with an AI-related security incident lacked proper AI access controls.
IBM / Ponemon Institute, 2025
Why Corentis is pilot-worthy
Corentis is not trying to solve every AI governance problem at once. It starts with one measurable question: can sensitive AI-assisted workflow actions be checked, reviewed and evidenced before they move forward?
Narrow first wedge
Financial-services complaints and vulnerable-customer workflows are concrete enough to pilot and sensitive enough to prove the need for control.
Broader platform potential
The same checkpoint pattern can extend across regulated AI-agent workflows where outputs affect customers, records or decisions.
UK AI assurance relevance
Corentis is built around operational control, evidence generation and safer adoption of AI in regulated settings.
Strategic asset pathway
Scenario testing, reusable control patterns and evidence artefacts can become a repeatable assurance layer over time.
What we are looking for
Current partner and funding conversations we are preparing for
Corentis is preparing these conversations carefully. This does not claim funding, acceptance, regulatory approval or live customer deployment.
Strategic AI infrastructure
Position Corentis as UK runtime control infrastructure for regulated AI agents.
Financial-services sandbox testing
Prepare a complaints and vulnerable-customer workflow test route.
AI assurance innovation
Frame Corentis Shield as a runtime assurance mechanism with evidence artefacts.
R&D feasibility and benchmarking
Develop ControlBench as a feasibility route for benchmarked runtime assurance.
Regional growth capital later
Keep regional finance routes warm after first external signals.
Partner and funding packs
Investor Overview PDF
A warm, commercial overview of the Corentis opportunity, the first wedge and the path from validation to regulated AI infrastructure.
Best for investors and strategic funders who want the market logic, wedge and proof plan in one place.
Design Partner Pack PDF
A practical pack for teams exploring a controlled, non-production pilot around complaints, vulnerable customers or regulated casework.
Best for operational teams who want to shape the first focused pilot conversation.
Early-stage disclaimer
Corentis is early-stage and currently developing pilot-ready prototypes. We do not claim regulatory approval, formal certification, or completed enterprise deployments.