AI Governance & Compliance
Practical governance frameworks and compliance architecture for businesses that are serious about AI adoption.
Operational governance in 14 days.
AI adoption without governance is a risk you can't afford to keep taking
Most businesses using AI have no clear picture of which tools are in use, who owns them, what data they're processing, or what their regulatory exposure looks like. This isn't a criticism. Until recently, the regulatory environment was still forming. But it isn't forming anymore. The EU AI Act's high-risk provisions come into force in August 2026. GDPR obligations already apply to AI systems processing personal data. And the gap between "we use AI" and "we govern AI" is where most of the risk lives.
You don't have a full picture of the AI tools in your business.
Shadow AI (tools used by employees without IT or leadership sign-off) is the most common source of governance exposure.
Your regulatory obligations are growing, not shrinking.
The EU AI Act, GDPR, and sector-specific rules create overlapping requirements that most businesses haven't mapped.
Governance built reactively costs far more than governance built proactively.
Retrofitting compliance architecture after deployment is significantly more expensive and disruptive than building it right from the start.
Governance that protects you and enables you
AI governance isn't about slowing down AI adoption. It's about making sure the AI you adopt is trustworthy, defensible, and positioned to scale. Dynome's governance frameworks are built for businesses that want to move fast. Lightweight enough to implement in days, robust enough to satisfy regulators, and designed to grow with your organisation rather than become a burden on it.
What's included
AI Governance Assessment
A complete audit of your current AI usage, including shadow AI. We classify every tool by risk level, map your regulatory exposure, and give you a gap analysis against applicable frameworks including the EU AI Act and GDPR. Delivered in 14 days.
Governance Framework
A practical, scalable governance structure built for your size: an AI acceptable use policy, a named ownership model for every AI system, risk-tiered usage rules, and a monthly review rhythm that takes 30 minutes and keeps you current without slowing you down.
Compliance-by-Design Architecture
For businesses building or procuring AI systems, we help you build compliance in from the start. System documentation, data governance rules, audit logging, and human oversight mechanisms designed so that regulatory inspection never catches you off-guard.
Employee AI Training
Role-specific training covering acceptable use, how to handle sensitive data in AI tools, how to spot and report shadow AI risk, and when to escalate decisions for human review. Practical playbooks for developers, HR, finance, and operations teams.
Certification Pathway
For businesses that need formal certification to satisfy supply chain or B2B customer requirements, we provide a structured pathway to ISO 42001 readiness. Gap assessment, implementation support, and documentation preparation.
From exposure to operational governance in weeks
Operational governance in 14 days. Full programme in 4 to 6 weeks.
Who this is for
Best for:Any business actively using AI that has not yet established formal governance, and any business planning to scale AI adoption in the next 12 months. Particularly important for businesses operating under EU AI Act jurisdiction, handling personal data in AI systems, or facing B2B customer due diligence questions about their AI practices.
Often paired with
Questions about AI governance
When does the EU AI Act apply to us?
The EU AI Act's high-risk provisions come into force in August 2026. If your business is based in the EU, operates in EU markets, or uses AI systems that interact with EU residents, you are likely in scope. The extent of your obligations depends on how you use AI and whether any of your systems fall into the Act's risk categories.
We only use ChatGPT — do we need governance?
Yes, if you use it with any business data, personal information, or confidential content. GDPR already applies to how you process personal data in AI tools. Beyond compliance, informal ChatGPT use by your team is a common source of shadow AI risk, and the right time to build governance is before it becomes a problem.
What does "operational in 14 days" include?
In 14 days, you have a working governance framework: a complete AI inventory, risk-tiered tool classifications, an acceptable use policy, a named ownership model for each AI system, and a monthly review process. More complex capabilities, such as compliance-by-design architecture or ISO 42001 pathway work, are scoped separately.
How much of our team's time does this take?
The assessment process requires limited involvement: a brief intake session, access to information about the tools you use, and a review of the draft policy before sign-off. Most of the work is done by Dynome, not your team.
Do we need a dedicated compliance or legal team to maintain this?
No. The framework is designed to be maintained by whoever owns AI within your business, whether that is a founder, a CTO, or an IT manager. The monthly review rhythm is built to take 30 minutes and can be delegated.
Ready to get ahead of your AI governance obligations?
Book a consultation and we'll map your current exposure, identify your highest-priority governance gaps, and give you a clear picture of what a practical framework looks like for your business.