AI governance execution for European teams

Turn AI governance gaps into defensible closure.

AIGovLayer is the execution and evidence layer that turns scattered AI records into owners, actions, current evidence and management decisions.

Keep the systems you already use. AIGovLayer coordinates the last mile between discovery, assessment, remediation, approval and board or audit scrutiny.

Book a 30-minute demo See the operating flow

Built for mid-market organisations that need a working governance process, not another large platform implementation.

Integration-first Standalone-capable Human decisions retained Evidence-led
See the governance stateAcross AI systems, suppliers and teams
Know what happens nextOwned remediation, not passive findings
Trace every decisionEvidence, approvals and history
Report without a fire drillLeadership and review-ready outputs
The operating problem

Your AI is distributed. So is the proof that it is governed.

AI-system records, supplier documents, control evidence, tickets and approvals often sit in different places. The result is a recurring coordination problem: no one can quickly explain which systems are exposed, what proof is missing or who must act.

Spreadsheets show records, but not defensible closure.
Discovery tools identify signals, but do not complete accountability.
Dashboards show status, but often leave remediation fragmented.
The outcome AIGovLayer is designed to support

Every in-scope AI system is known, owned, assessed, controlled and supported by traceable evidence.

  • Named business and technical owners
  • Documented risk and governance assessment
  • Applicable controls and evidence expectations
  • Prioritised gaps with accountable owners
  • Review, approval and change history
  • Management-readable readiness output
Where AIGovLayer fits

Not another system of record. The operating layer between your systems and a defensible outcome.

Use existing platforms for discovery, documents, workflow, security and technical evidence. AIGovLayer currently accepts structured records, exports and evidence links, then connects them to governance decisions and closure.

The operating flow

From discovery signal to governed decision

The platform closes the loop instead of stopping at inventory, assessment or a dashboard.

Intake

Import or register AI systems and Shadow AI candidates with source provenance.

Own & assess

Assign accountable roles and assess privacy, security, bias, operational and regulatory risk.

Control

Translate the system profile into relevant governance controls and review needs.

Evidence

See what evidence exists, what is missing and why the gap affects readiness.

Remediate

Create owned actions, track progress and retain closure evidence and history.

Decide & report

Record human approval and produce system, portfolio and board-ready outputs.

Current platform capabilities

A working governance execution chain, not a concept deck

The current product baseline already supports the core journey from intake and assessment through evidence gaps, remediation, approval and reporting.

AI-system register

Ownership, department, supplier, lifecycle, purpose and source-aware imports.

Shadow AI intake

Convert external CSV or manual discovery signals into reviewable governance candidates.

Risk assessment

Structured review of privacy, bias, security, operational and regulatory indicators.

Explainable recommendations

Deterministic risk, control and governance-gap logic with readable explanations.

Evidence readiness

Evidence completeness, explicit missing items and a dedicated gap workspace.

Remediation operations

Generate and assign practical actions from governance and evidence gaps.

Human approval

Formal review, role-based permissions, version history and defensible activity logs.

Executive reporting

System reports, portfolio prioritisation and board-oriented readiness views.

Why AIGovLayer

Built to complete the process, not replace the enterprise stack

AIGovLayer is intentionally narrower than broad GRC, data-governance, AI-lifecycle and security platforms.

Compared with enterprise control towers

Focused implementation and operating simplicity

Designed for organisations that need a focused AI-governance layer without expanding a major GRC or workflow programme.

Compared with technical AI platforms

Business accountability across mixed AI estates

Govern internally built models, SaaS AI, Microsoft Copilot, supplier AI and low-code agents without requiring one development stack.

Compared with spreadsheets and project consulting

Persistent evidence, actions and decision history

Keep the operating state alive after the workshop: owners, gaps, remediation, approval and portfolio status remain traceable.

What it is

An integration-first, standalone-capable execution and evidence layer.

  • Source-system-neutral governance coordination
  • Evidence-to-remediation closure loop
  • Human-reviewed readiness and approval
  • Management and audit-oriented outputs
What it is not

Not a replacement for every platform you already own.

  • Not a full GRC or enterprise workflow suite
  • Not a native discovery, observability or model-testing platform
  • Not a document repository or policy portal
  • Not automated legal advice or a compliance guarantee
Client value

Reduce governance coordination. Improve decision quality. Prepare evidence before the request arrives.

The principal value is not another dashboard. It is a clearer operating state and a shorter path from a detected gap to an accountable, documented decision.

Discuss your current process

Less manual coordination

Replace repeated spreadsheet consolidation and status-chasing with one governed workflow.

Faster management decisions

Show decisive gaps, accountable owners and the exact next action instead of a generic score.

Stronger audit defensibility

Connect assessment facts, evidence, remediation, approvals and history in a traceable chain.

Lower platform burden

Work with the systems already in place and remain usable where enterprise tooling is immature.

Founding design partners

Help shape the practical AI-governance operating layer your team would actually use.

We are selecting a small number of European organisations to validate the workflow, implementation effort and measurable outcomes with real governance teams.

500–5,000 employeesMid-market or enterprise division
20–150 AI use casesIncluding SaaS or supplier AI
Fragmented current processExcel, SharePoint, Jira, ServiceNow or GRC records
Named executive sponsorCIO, CDO, Head of AI, Risk or Compliance
Common questions

Clear boundaries from the start

Does AIGovLayer replace ServiceNow, OneTrust, Purview, Collibra or Jira?

No. It is designed to use records and signals from existing systems and complete the AI-specific governance, evidence, remediation and decision workflow.

Can it work before we have enterprise integrations?

Yes. The platform is standalone-capable and currently supports structured native records and source-aware imports. Integrations can be added where they create proven value.

Does it automatically decide whether an AI system is compliant?

No. Deterministic rules support triage and explanations, while formal classifications, risk acceptance and approval remain human decisions.

Is this only for internally developed AI models?

No. It is designed for mixed portfolios that may include Microsoft Copilot, SaaS AI, supplier systems, embedded AI, internal models and low-code agents.

A practical next step

Start with one AI portfolio problem, not a platform transformation.

See how AIGovLayer can turn your current governance records into owners, actions, evidence status and management decisions.

Book a demo Design-partner application