AI governance. A framework and an AI policy for your company.
Clear rules, owners and approvals for every use of AI, with risk management and monitoring that keep AI useful and under control.
30 minutes with a solution architect.
What is AI governance, and how does Solorai help?
AI governance is the set of policies, roles and processes a company uses to decide which AI to use, how to use it and how to keep it under control. It covers the AI policy, an inventory of AI systems, risk management, approvals for new uses, monitoring and training. Solorai designs the framework with your teams, writes the AI policy and sets up the routines that keep it running.
Written and reviewed by Solorai
- building blocks, from policy to training
- 7
- register for every AI system
- 1
- EU AI Act risk levels in every review
- 4
What does the AI governance work include?
A framework your teams can run without us, written in plain language.
AI policy
Which tools, data and uses are allowed, who approves what and how incidents are reported, in plain language.
Roles and accountability
An owner for every AI system, a governance group and clear escalation paths.
AI risk management
A repeatable way to assess risks before and after an AI system goes live, in line with ISO/IEC 23894 and the EU AI Act.
Approval workflow
A simple request and review path for new AI tools and uses, with every decision logged.
Inventory and monitoring
A register of AI systems with owners and risk class, and checks on how systems perform in use.
Responsible AI principles
Principles on fairness, transparency, privacy and human oversight, turned into concrete rules.
Framework
What does an AI governance framework contain?
Seven building blocks that work together. The AI policy holds them in one place.
- AI policy
The rules for tools, data and uses, approved by management.
- Roles
An owner per AI system and a governance group across IT, security, legal, data protection and the business.
- Inventory
Every AI system, with purpose, supplier, data and risk class.
- Risk assessment
Before go-live and when a system changes, classified under the EU AI Act.
- Approval
A short path from request to decision, with conditions recorded.
- Monitoring
Errors, incidents and drift checked in use, with a way to stop a system.
- Training
AI literacy measures for everyone who uses AI on the company’s behalf.
The framework works with ISO/IEC 42001 if you want certification, and with the EU AI Act obligations that apply to you.
Where to start
How do we start with AI governance?
Fixed formats with a clear scope. Prices are agreed in a written proposal.
EU AI Act
AI Act starter
An inventory of your AI systems, risk classification, an internal AI policy and AI literacy measures. Legal opinions are not included.
- Duration
- About 4 weeks
- For
- EU companies
Ongoing
Adoption and governance
Usage reports, new skills and connectors, and monthly updates to your AI policies.
- Cadence
- Monthly
FAQ
AI governance, in short
What is AI governance?
AI governance is the set of policies, roles and processes a company uses to decide which AI to use, how to use it and how to keep it under control, from the AI policy to approvals, risk management and monitoring.
What should an AI policy for companies include?
Which AI tools are approved, which data may and may not be used, who approves new uses, how outputs are checked, how incidents are reported and how staff are trained.
What is responsible AI?
Responsible AI means designing and using AI in ways that are fair, transparent, secure and respectful of privacy, with people accountable for outcomes. Governance turns those principles into rules and routines.
What is AI risk management?
A repeatable process to identify, assess and treat the risks of AI systems before and after they go live. ISO/IEC 23894 gives guidance on it, and the EU AI Act requires a risk management system for high-risk AI.
How does AI governance relate to the EU AI Act and ISO/IEC 42001?
The EU AI Act sets legal obligations, ISO/IEC 42001 sets a certifiable management system standard, and your governance framework is how you meet both in practice.
Who should own AI governance?
A named owner in management, a small group with IT, security, legal, data protection and the business, and an owner for each AI system.
Related reading
- Industries
AI for insurance
For insurers and insurance brokers.
Read the guide - Industries
AI for banks and financial services
For banks and financial services firms.
Read the guide - Glossary
What is sovereign AI
Sovereign AI explained: data residency, private and on-premise LLMs, and how companies keep control of AI models and data.
Read the definition
Sources: Regulation (EU) 2024/1689, Regulation (EU) 2026/1744
AI governance for your company. Start with a 30-minute briefing.
Tell us how AI is used in your company today. We will reply with a clear next step.