AI Governance · Compliance Automation · Trust Scoring
AI governance & compliance
built for every builder.
AIGovernr helps AI consultants assess client AI systems, map obligations, manage risks, and export audit-ready evidence from one workspace.
I advise on compliance
Audit client websites, export reports, find violations instantly
I build AI systems
Scan codebases, get a Trust Score, ship compliant AI
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From code to compliant.
Four stages. One command. Full coverage.
Data Stage
- PII exposure
- Bias in features
- Lineage gaps
Code Stage
- No audit log
- SDK misuse
- No rate limits
Model Stage
- No model card
- No fairness eval
- Drift risk
Deploy Stage
- No HITL
- No logging
- No disclosure
Your AI governance
command center
Track trust scores, monitor violations, and fix compliance gaps — all from one dashboard. Here's what it looks like.
What AIGovernr catches.
Every violation maps to a regulation. Every regulation maps to a fix.
No human oversight on high-stakes decisions
What it means
Your prediction endpoint makes autonomous decisions without any human-in-the-loop mechanism. Under the EU AI Act, high-risk AI systems must allow human oversight to intervene, override, or reverse automated decisions.
Fix in 3 steps
- 1.
Add a confidence threshold that flags decisions for human review:
if prediction.confidence < 0.85: flag_for_human_review(prediction) log_oversight_event(user_id, prediction) - 2.
Implement an override endpoint for human operators:
@app.post("/api/override") async def override_prediction( prediction_id: str, human_decision: str, reviewer_id: str ) - 3.
Add audit logging for all overridden decisions.
Regulations addressed
After fixing
Human oversight mechanism active. All high-stakes decisions reviewed above confidence threshold.
Your website has compliance gaps. Find them instantly.
Scan any URL for GDPR, CCPA, Cookie Law, Accessibility, and 8+ more regulations. Get exact regulatory citations and risk context - for free.
Your governance, graded.
A single score that proves your AI is responsible.
How AIGovernr compares to hiring a compliance consultant.
| Manual audit | AIGovernr | |
|---|---|---|
| Time to first finding | 2–4 hours | 60 seconds |
| Cost | £900–2500/engagement | $0–$99/month |
| Regulation citations | ✓ | ✓ |
| Code-level fix instructions | Sometimes | Always |
| Repeatable / automated | ✗ | ✓ |
| Audit trail & PDF | Extra cost | Included |
Start free. Scale with confidence.
AI consultants need reusable delivery systems. One reusable scan can save hours of manual discovery. Start with the consultant workflow today.
Starter
Try before you commit.
- 3 website scans per month
- Basic findings only
- No PDF export
- No Gap Analysis CSV
- Community support
Professional
For independent AI consultants.
Saves avg. 8 hours per client engagement - enough to pay for itself in one scan.
- Unlimited website scans
- Full Gap Analysis CSV export
- Action Plan PDF
- Consultant Brief PDF
- Regulation citation database
- Implementation partner waitlist
- Priority support
Consultancy
For AI consulting teams.
- Everything in Professional
- 10 team seats
- Branded PDF reports (your firm logo)
- Client portal (share with clients)
- API access for workflow integration
- Partner network access
- Dedicated account manager
The compliance marketplace
Connect AI consultants with implementation partners when a client needs practical remediation support. Your project context, shared securely.
Need implementation support?
Connect with trusted technical partners who can help remediate AI governance gaps, documentation gaps, and control implementation work. Share your AIGovernr project context directly.
Developer partner network - Coming Soon
Join the future partner network for builders who can help AI consultants implement remediation work. No signup flow yet, just a launch notification.
Built for developers who care.
Zero config. Zero friction. Just governance.
One command (Coming Soon)
Install and scan in seconds. No configuration files, no setup wizard, no accounts required.
$ pip install governer $ governer scan .
CI/CD native (Coming Soon)
Drop into any pipeline. Fails PRs on critical violations. Ships a ready-made GitHub Action.
# .github/workflows/governance.yml
name: AI Governance
on: [push]
jobs:
scan:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- run: pip install governer
- run: governer scan . --ciFramework agnostic (Coming Soon)
Works with LangChain, AutoGen, CrewAI, OpenAI SDK, Hugging Face, and any custom pipeline.
# Scans any AI framework governer scan ./langchain-app governer scan ./autogen-agents governer scan ./openai-service
Frequently Asked Questions
Everything you need to know about AI governance & compliance
Still have questions? Contact the team or read the docs.
Two audiences. One deadline.
2 December 2027.
For Developers - Coming Soon
AI Act enforcement starts 2 December 2027. Are you ready?
Run your first scan in 60 seconds. Zero config. No vendor lock-in.
For Compliance Professionals
Your next client has compliance gaps. Find them before they do.
Surface EU AI Act gaps for any client. Export a professional compliance brief in one click.
I advise on compliance
Trusted by AI consultants and future builders
Consultant workflows today, developer tooling next. Same result: fewer compliance surprises.
“AIGovernr flagged 12 compliance gaps in our ML pipeline we didn't know existed. The NIST AI RMF coverage alone saved us weeks of manual review.”
“We integrated AIGovernr into our CI/CD pipeline. Every PR now gets a compliance score before merge. Our audit prep time went from 3 days to 2 hours.”
“The EU AI Act checklist alone is worth the subscription. We're a 6-person team — we can't afford a dedicated compliance officer. AIGovernr fills that gap.”
“I arrive at every client meeting with the AI governance gaps already identified. I spend my time on strategy, not discovery. AIGovernr has changed how I onboard consulting projects.”
“The Gap Analysis CSV alone saves me 3 hours per engagement. It gives my clients a clear starting point and keeps delivery focused.”
“I present AIGovernr reports to clients as part of my initial assessment. It turns scattered AI governance work into a structured, explainable project plan.”