Corentis
The policy plane for regulated AI
Corentis is the control layer between advanced AI and the standards that govern its use. It helps organisations deploy AI in regulated workflows with testing, approvals, runtime monitoring, and evidence people can review and trust.
Control Plane View
Model and workflow inventory
Scenario testing and policy evaluation
Human approval on sensitive actions
Runtime monitoring in production
Exported evidence for assurance teams
Built for organisations that need AI to be useful, accountable, and ready for scrutiny.
Why Corentis
AI is getting stronger. Trust is not keeping up.
Many organisations can see where modern AI could help. The harder step is moving from experiments to live use without losing visibility, control, or confidence.
In regulated environments, teams need to know:
- what the system was asked to do
- what information it used
- what checks were applied
- where human approval happened
- and what evidence exists if a decision is ever questioned later
Corentis is built for that moment. It turns high-stakes AI workflows into governed processes that are easier to test, monitor, review, and defend.
What the system was asked to do
Capture the use case, prompts, workflow boundaries, and the role AI is supposed to play before the workflow goes live.
What checks were applied
Record the testing, control checks, and review points that shape whether a workflow is ready for regulated use.
Where human approval happened
Show where people approved, rejected, overrode, or escalated outputs, and preserve what evidence remains afterwards.
What The Platform Does
A control layer for high-stakes AI work
Corentis sits around important AI workflows and adds the structure needed for safe deployment.
Pre-deployment testing
Assess prompts, workflow logic, controls, and failure modes before important AI work reaches production.
Human approvals
Introduce clear review points where people can approve, reject, escalate, or override important outputs.
Runtime monitoring
Track how workflows behave over time, including exceptions, overrides, drift, and other events worth attention.
Exported evidence
Generate structured evidence for governance, assurance, procurement, audits, and external review.
Built For High-Stakes Workflows
Start with one workflow. Build confidence from there.
Corentis is designed for organisations working in environments where accuracy, accountability, and review carry real weight.
Financial Services
Support AI use in complaints handling, vulnerable-customer escalation, and customer-communication review with stronger control and traceability.
Clinical Trials
Support trial document review, protocol-deviation triage, and safety-case summarisation with human sign-off and clear evidence.
How It Works
From AI output to governed process
Corentis helps teams move from isolated AI outputs to workflows that can be reviewed, managed, and defended.
1. Define the workflow
Capture the use case, the rules that apply, and where human oversight is required.
2. Test before deployment
Check the workflow against scenarios, controls, and expected behaviours before live use.
3. Run with guardrails
Monitor the workflow in operation, record what happened, and surface issues that need attention.
4. Export evidence
Produce a clear record of decisions, approvals, exceptions, and supporting materials.
Workflow
- AI-assisted complaint draft
- Protocol deviation review
Policy plane
- Risk thresholds
- Approval rules
- Escalation triggers
Oversight
- Human reviewers
- Runtime checks
- Exception handling
Evidence
- Decision trail
- Test pack
- Audit export
Evidence Pack
Evidence people can work with
Corentis creates clear, structured records that help teams understand how a workflow behaved and what happened around it.
A typical evidence pack can include:
- workflow summary
- relevant controls and policies
- test results
- approval history
- notable exceptions
- monitoring snapshot
- review-ready export for governance or assurance teams
Evidence Pack
Complaints Triage Oversight Export
Included
- Test coverage across prompt variants, edge cases, and fallback behaviour
- Reviewer approvals with named decision owners and timestamps
- Runtime monitoring summary with triggered policy events
- Mapped controls and export metadata for governance workflows
Tests passed
98.4%
Approvals
12
Policy alerts
2
Timeline
Exported PDF / JSON
Test suite completed
Bias, escalation, and explanation scenarios recorded.
Human approval granted
High-sensitivity communications approved by named reviewer.
Runtime anomaly flagged
Escalated automatically when risk threshold exceeded.
Evidence bundle exported
Structured package prepared for oversight and assurance teams.
Why Now
The next phase of AI is not just more capability. It is safer deployment.
As AI becomes more capable, more organisations want to use it in real work. The harder question is no longer whether AI can produce an output. It is whether that output can be used responsibly where standards, scrutiny, and trust matter.
Corentis is being built for that next stage of adoption: useful systems, stronger oversight, and clearer evidence.
Final CTA
Move from AI experiments to governed deployment
Register for more information and follow the early development of the platform.