Corentis
Turn AI policy into governed action.
The policy-control and evidence layer for regulated workflows.
Corentis makes AI policy operational.
It turns plain-English governance into live controls, review gates, escalation rules, and evidence trails that guide AI-assisted work as it happens.
That means teams can adopt AI faster, reduce training burden, improve consistency, handle more work safely, and stay firmly inside regulatory expectations.
How Corentis works
A simple view of how Corentis guides one complaint from policy to action. It identifies the right policy, applies the right controls, blocks unsafe actions, and keeps a clear evidence trail.
A complaint enters the workflow
Corentis finds the right policy
The right controls are applied
Unsafe direct send is blocked
A clear evidence trail is kept
Policy matched
Right rulebook
Action checked
Review or escalation
Evidence kept
Clear record
Built for organisations that need AI to be useful, governed, and ready for scrutiny.
Choose Your Path
One platform, clearer journeys for the people who need to assess it.
Corentis speaks to investors, sector buyers, and assurance-focused reviewers through one coherent proposition: safer deployment of regulated AI.
For Investors
Assess the company quickly
See the market need, initial wedge, current build stage, and the route from early workflow adoption to broader platform value.
For Financial Services
See the workflow fit
Explore how Corentis adds policy checks, review gates, exception handling, and evidence export around sensitive operational workflows.
For Life Sciences
Explore bounded operational use
Understand where Corentis fits in document-heavy, governed operational workflows without making diagnostic or treatment claims.
For Assurance Review
Review the assurance case
See how Corentis approaches oversight, review discipline, evidence production, and careful claim boundaries in practice.
For Government / Funding
Assess public value and readiness
Review the responsible deployment case, UK regulated-sector adoption path, evidence generation, and current V1 stage without inflated funding claims.
Why Corentis
The AI question has changed.
The important question is no longer whether advanced AI can produce a useful output. It is whether policy can be turned into operational control in work that carries regulatory, conduct, or public-interest consequences.
In those environments, confidence does not come from model performance alone. Teams need to see which policy applied, what controls were triggered, where human review took place, and what evidence remains if the process is questioned later.
Corentis is being built to provide that missing layer. Not another model, and not a consultancy wrapper, but a policy-control and evidence layer for governed deployment.
Policy Composer
Convert plain-English policy into structured controls: what the AI may do, what it must not do, when review is required, and what evidence must be recorded.
Testing before operational use
Check prompts, workflow paths, controls, and failure modes before a team depends on the output.
Human review where it matters
Introduce approval gates, escalation rules, and sign-off points around sensitive AI-supported work.
Evidence that travels with the workflow
Preserve what happened, what was checked, who approved, and what needs to be reviewed later.
What Corentis Helps Teams Do
Policy Composer is the heart of the product.
Policy Composer converts plain-English policy into structured control plans: allowed actions, blocked actions, review gates, escalation triggers, and evidence requirements.
Policy Composer
Convert plain-English policy into structured control plans: allowed actions, blocked actions, review gates, escalation logic, and evidence requirements.
Advisor guidance
Guide the person using the workflow with the relevant policy, required checks, and visible constraints at the point of action.
Approval and escalation
Block unsafe direct send, introduce named review gates, and trigger escalation where the workflow requires human judgement.
Evidence Vault
Persist evidence artefacts and review-ready outputs so governance, assurance, and audit-facing teams can inspect what happened later.
How It Works
A fast view of how Corentis wraps a workflow.
The product direction is straightforward: define the workflow, attach controls, keep live activity visible, and make evidence easier to export.
01
Policy Composer identifies the rulebook
Plain-English policy is turned into operational controls around one AI-assisted workflow.
02
Control plan is applied
Corentis defines what the workflow may do, what it must not do, when review is required, and what evidence must be captured.
03
Unsafe actions are blocked or escalated
Where direct send is not acceptable, the workflow stops, routes to a named reviewer, and triggers escalation when needed.
04
Evidence Vault keeps the record
Evidence artefacts are persisted and surfaced so later review does not depend on reconstruction.
Current Prototype Outputs
What the current V1 direction already shows
These visual modules are intended to reflect the current interactive demo direction without implying live customer deployment.
Policy Composer
Relevant policy is identified
The workflow can identify the applicable complaints policy and turn it into an operational control plan.
Approvals
Direct send can be blocked
Where human approval is required, the workflow stops, routes to a reviewer, and makes the reason visible.
Escalation
Vulnerable-customer logic is triggered
Sensitive complaints can be escalated through visible workflow rules rather than handled ad hoc.
Evidence Vault
Evidence artefacts are persisted
Review artefacts are surfaced in one place so later assurance, governance, and audit work is easier.
Prototype event trail
Intended to show the kind of reviewable workflow state Corentis is being built to expose.
01
Relevant complaints policy identified at workflow start
02
Unsafe direct send blocked pending human review
03
Evidence artefacts persisted in Evidence Vault
Start With One Workflow
The first win is not total transformation. It is one workflow people can understand, approve, and defend.
Corentis is designed for a practical adoption path: choose a bounded workflow, turn policy into a control plan, guide the advisor, block unsafe actions, trigger review and escalation where needed, and keep the evidence trail intact.
That makes early deployment easier to approve internally, easier to explain to stakeholders, and easier to extend into neighbouring workflows later.
Outcomes Teams Care About
- faster internal approval of early AI pilots
- clearer governance around sensitive workflows
- safer rollout with defined review gates
- stronger audit and assurance trails
Built For High-Stakes Workflows
Start in the sectors where workflow discipline already matters.
Corentis is being shaped around regulated environments where documentation, approvals, and review are already part of the operating model.
Financial Services
Complaints handling, vulnerable-customer escalation, and customer-communication review with clearer policy checks, approval steps, and evidence export.
Life Sciences
Bounded operational workflows such as document review, protocol-deviation triage, and summarisation support with human sign-off and non-diagnostic positioning.
Current Product Stage
What exists now, what is illustrative, and what comes next
Corentis is being presented honestly as an early product company with a working V1 local demo. The goal here is to make the current stage legible rather than imply live customer deployment where none is being claimed.
Current stage
01
Working V1 demo in financial services
Corentis now has a local interactive V1 complaints-assistant demo that shows policy selection, control-plan application, review blocking, escalation, and evidence capture.
Exists now
02
Interactive workflow and evidence surfaces
The current product story is grounded in an interactive V1 demo plus prototype workflow views, sample evidence outputs, and sector-specific walkthroughs.
Being validated
03
Complaints-assistant buyer fit and design-partner path
Current work is focused on design-partner conversations, workflow fit in financial services, and what proof serious buyers and reviewers need next.
Near-term path
04
From one workflow to platform expansion
The commercial route starts with one internally approved workflow and expands into adjacent use cases with similar control and evidence needs.
Proof Framing
Illustrative outputs, labeled clearly.
These modules show the kind of structured oversight Corentis is designed to produce. They are illustrative of the product direction, not presented as live customer data.
How Corentis works
A simple view of how Corentis guides one complaint from policy to action. It identifies the right policy, applies the right controls, blocks unsafe actions, and keeps a clear evidence trail.
A complaint enters the workflow
Corentis finds the right policy
The right controls are applied
Unsafe direct send is blocked
A clear evidence trail is kept
Policy matched
Right rulebook
Action checked
Review or escalation
Evidence kept
Clear record
Illustrative 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%
Illustrative sample metric
Approvals
12
Illustrative sample metric
Policy alerts
2
Illustrative sample metric
Approval state
Named reviewer sign-off recorded
Export bundle
Governance pack ready to share
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
Governed deployment is becoming a category need.
As organisations move beyond AI experiments, the bottleneck shifts from raw capability to deployment discipline. The teams that can test, approve, monitor, and evidence AI use will be the teams that can adopt it with confidence.
That makes Corentis relevant commercially, operationally, and from a public-interest perspective at the same time.
What Corentis Is
- A policy-control and evidence layer for AI-assisted regulated workflows
- A way to connect policy, controls, human review, escalation, and evidence in one governed workflow
- A reviewable operating layer designed to integrate regulated AI into your CRM and case-management workflows rather than replace them
What Corentis Is Not
- Not a generic chatbot or a promise of more AI for its own sake
- Not a substitute for legal, compliance, regulatory, or human judgement
- Not a guarantee that AI is automatically safe or that regulation can be automated away
Next Step
Choose the conversation that fits your role.
Request an investor overview, an assurance summary, a financial-services walkthrough, or a design-partner conversation.