AI governance platform for consultants and organizations

Govern AI systems from inventory to continuous assurance.

AIGovernr gives consultants and organizations one workspace to register AI systems, understand what applies, manage controls and evidence, resolve risk, make accountable decisions, and continuously demonstrate governance.

Explore the governance journey
No credit card requiredMulti-user workspaceConsultant-ready

Illustrative governed AI system

Example AI System 001

Fictional clinical decision support scenario · Production · EU

High risk

Governance plan

8 / 11

Assurance

76%

Evidence

18 / 21

Open issues

3

Decision

Conditional

Monitoring

Active

1
2
3
4
5
6

Choose your path

Governance built around how you work

For compliance professionals

I advise on compliance

Audit client AI systems, map obligations, manage risk, and export audit-ready evidence.

No coding requiredBeta workspaceReviewed frameworks

For organizations

I govern AI in my company

Assess your AI portfolio, close compliance gaps, and guide teams from one shared workspace.

Compliance overviewTeam workspaceAI-guided governance

For builders · Coming soon

I build AI systems

Scan codebases, understand applicable requirements, and ship governed AI through your delivery workflow.

pip install governerCI/CD nativeEU AI Act + NIST
Beta framework mappings
EU AI ActNIST AI RMFISO/IEC 42001GDPREU AI ActNIST AI RMFISO/IEC 42001GDPR

One connected governance workspace

Move from scattered compliance work to governed outcomes.

AIGovernr connects AI risk management, evidence, controls, decisions, and continuous assurance around the AI system—not around disconnected checklists.

01

Build your AI inventory

Register AI systems, accountable owners, models, vendors, deployment context, and the governance facts that matter.

02

Know what applies

Classify regulatory and risk context across the EU AI Act, ISO/IEC 42001, NIST AI RMF, GDPR, and governed source mappings.

03

Turn requirements into action

Translate applicable obligations into an explainable governance plan with controls, assessments, and evidence requirements.

04

Verify governance

Assess controls, run control tests and technical evaluations, and connect evidence to the work it supports.

05

Resolve and decide

Track findings, risks, remediation, formal reviews, conditions, and accountable approval in one audit trail.

06

Prove and monitor

Generate decision-ready reports from live records and monitor changes that may require review or reassessment.

How AIGovernr works

One lifecycle. A continuous line of accountability.

Every stage adds context to the same governed AI-system record, so teams can trace why work applies, what was verified, and who decided.

01

Discover & Register

Create a governed record of the system, its purpose, owner, data, provider, vendors, and deployment context.

02

Classify

Determine regulatory scope, risk tier, geography, data context, and the obligations that may apply.

03

Plan Governance

Generate an explainable, system-specific plan of controls, assessments, evidence, and accountable work.

04

Assure

Implement controls, test effectiveness, complete assessments, collect evidence, and run technical evaluations.

05

Resolve & Decide

Remediate findings and risks, then route an evidence-backed governance decision to the right reviewers.

06

Prove & Monitor

Produce defensible outputs and monitor material changes that may trigger review or reassessment.

DiscoverClassifyPlanAssureResolveDecideProveMonitor

The governed object at the center

One governed record for every AI system.

Bring ownership, classification, governance work, assurance, evidence, issues, decisions, and monitoring into one durable AI system inventory. Everyone works from the same context.

  • See governance status without rebuilding it in spreadsheets
  • Trace every issue and decision back to supporting evidence
  • Keep accountability visible across teams and client engagements

Fictional demonstration record

Example AI System 001

HIGH RISKPRODUCTION

Owner: Clinical AI · Provider: Internal · Geography: European Union

Monitoring

Active

Governance readiness

Governance plan8 / 11 complete
Assurance76%
Evidence sufficiency18 / 21

Open findings

2

Review

Open risks

1

High

Decision

Approved

With conditions

Next review

30 days

Scheduled

Adaptive governance planning

Governance that adapts to the AI system.

A public FAQ chatbot should not receive the same governance workload as a high-risk healthcare system. AIGovernr uses known system facts and classification to shape the work that applies.

System facts

HealthcareEuropean UnionHigh riskPersonal dataProduction

Classification and context remain attached to the record, so the basis for the plan is visible and explainable.

Generated governance plan

Example AI System 001 · fictional scenario based on current classification

6 activities
DPIA
Human oversight
3Technical evaluation
4Evidence review
5Governance decision
6Ongoing monitoring

Assurance, not box-ticking

Verify that governance actually works.

Connect policy intent to operating controls, tests, evaluations, and sufficient evidence. This creates a defensible assurance record instead of a completed checklist with no proof behind it.

Controls

Define what should be in place.

Assessments

Review broader governance topics.

Control tests

Verify controls operate effectively.

Technical evaluations

Measure the system technically.

Evidence

Prove the work and its results.

Fictional demo · Example AI System 001

Assurance workspace

76% assured

Human oversight

Control test

Partially effective

Data protection impact

Assessment

Complete

Technical safety

Evaluation

Not started

Data governance

Controls

3 / 4 effective
Evidence coverage82%

Open assurance findings

2

Decision and accountability

Governance ends in an accountable decision—not a completed checklist.

Approval policies route decisions to existing roles and team members. Reviewers see the assurance snapshot, supporting evidence, open conditions, and the history behind the request.

Evidence snapshotConditionsExpiryDecision historyMonitoring

Governance decision request

Example AI System 001

ASSURANCE COMPLETE

DPO review

Approved · Reviewer 1

Complete

Technical review

Approved · Reviewer 2

Complete

Governance manager

Approved · Reviewer 3

Complete

Final outcome

Approved with conditions

2 conditions · expires in 90 days · monitoring active

One platform, two operating modes

Built for governance work across clients and companies.

Consultants and internal governance teams use the same connected lifecycle, adapted to how they organize work and accountability.

For AI consultants

A repeatable delivery system for every engagement.

Standardize governance without flattening the differences between clients and AI systems.

  • Manage multiple client projects
  • Reuse playbooks and policy templates
  • Coordinate evidence requests and client collaboration
  • Track cross-client work and branded reporting
Explore consultant workflows

For organizations

A shared control plane for accountable AI governance.

Give every owner and reviewer the context they need while preserving decision and audit history.

  • Govern multiple AI systems and owners
  • Collaborate across accountable team roles
  • Manage evidence, findings, risks, and remediation
  • Use formal approvals, monitoring, and decision history
Start a company workspace

Frameworks and standards

Work across the frameworks shaping AI governance.

AIGovernr's beta framework graph maps published obligations to governance work. Crosswalks help connect overlapping requirements to shared controls and evidence, without implying certification.

View framework release scope
MAPPING 01

EU AI Act

Beta governed release

MAPPING 02

ISO/IEC 42001

Beta governed release

MAPPING 03

NIST AI RMF

Beta governed release

MAPPING 04

GDPR

Beta governed release

Stay current as requirements change.

Review verified material developments from configured official sources, see potentially affected projects, and guide impact review or reassessment. Regulatory updates are treated as governance work—not a news feed.

BETA

Turn live governance data into defensible assurance.

Generate current outputs from the records your team already maintains instead of manually rebuilding the story from disconnected files.

Executive SummaryRegulatory ComplianceGap AnalysisGovernance Audit Export
DISCOVERY TOOL

Start with discovery.

Scan a public website or AI experience for potential compliance issues, then use the findings as a starting point for deeper governance work. The scanner is a discovery aid—not a compliance guarantee.

Try Compliance Scanner
https://example.com/aiSCANNED

Disclosure

Review

Privacy notice

Found

Human contact

Review

Potential issues require review and may be imported into governed follow-up work.

Pricing

Start free. Scale your governance practice.

Choose a workspace for structured AI inventory, governance planning, assurance, evidence, risk, and reporting. Current platform capabilities are in beta.

Monthly subscription pricing in USD

Starter

Explore the governance workspace with a limited free plan.

$0USD/month
  • AI system inventory
  • Governance plan workflow
  • Framework mapping access
  • Controls and evidence workspace
  • Community support
Start Free
MOST POPULAR

Professional

For independent consultants and governance professionals.

$79USD/month
  • Multiple governance projects
  • Assessments, controls, and evidence
  • Risks, findings, and remediation
  • Governance playbooks
  • Executive and gap-analysis outputs
  • Priority support
Get Started

Consultancy

For consulting teams and multi-user governance delivery.

$299USD/month
  • Everything in Professional
  • 10 team seats
  • Client collaboration portal
  • Branded reports
  • Approval workflows
  • Dedicated account manager
Contact Sales

All prices are in USD. Plan limits and beta availability are confirmed during signup or sales review.

Resources

Go deeper when you need to.

Use practical guides and product documentation for detailed AI governance, framework, control, evidence, and risk questions.

AIGovernr Blog

Guides to the EU AI Act, ISO/IEC 42001, NIST AI RMF, governance controls, and AI risk assessment.

Read governance guides

Product Documentation

Learn how the workspace handles governance projects, AI systems, assurance, evidence, and reporting.

Explore documentation
PLANNED

Technical assurance & developer integrations

Extend governance into repositories, CI/CD pipelines, and developer workflows. These capabilities are roadmap previews and are not released products.

Developer CLI

Bring governance checks into local technical workflows.

Repository & CI/CD checks

Connect governance signals to change and release workflows.

Public developer API

Integrate governed data and actions into engineering systems.

Frequently asked questions

Understand the platform before you start.

An AI governance platform helps organizations inventory AI systems, assign accountability, manage risk and obligations, verify controls, retain evidence, record decisions, and monitor change. AIGovernr connects that work around each governed AI system.

Bring governance into one workspace

Start building accountable AI governance.

Bring your AI systems, evidence, risks, and decisions together—from first registration through continuous assurance.

Start Free See How It Works