Responsible AI That Doesn't Slow You Down.
TechLevity builds practical AI governance frameworks that satisfy EU AI Act, GDPR, DTAC, and MHRA requirements — without paralysing your engineering team. Backed by Edward Kreiman's 20+ years at Amazon, JPMorgan, and Playtech.
Regulation is moving faster than your engineering team.
EU AI Act uncertainty is blocking product decisions
Your legal team says you might be high-risk under the EU AI Act. Your engineering team has never heard of it. No one knows what compliance actually requires — so product decisions stall while you wait for clarity.
GDPR and data risk in AI systems
Your AI models train on customer data. Your data pipelines weren't designed with GDPR in mind. You're shipping features faster than your data governance can keep up, and one breach notification away from a serious problem.
Board wants a governance framework. You have nothing.
Investors and enterprise customers are asking for AI governance documentation. You don't have policies, you don't have an AI register, and you don't know where to start without bringing the engineering team to a halt.
AI Governance That Ships, Not Stalls
TechLevity builds practical AI governance frameworks that satisfy EU AI Act, GDPR, DTAC, and MHRA requirements — without paralysing your engineering team.
Everything in the engagement
Regulatory Gap Analysis
Map exactly where you stand against applicable frameworks.
- EU AI Act risk classification for all AI systems in scope
- GDPR compliance review for data used in AI training and inference
- DTAC and MHRA assessment for digital health products
- Prioritised compliance gap report with remediation roadmap
Governance Framework
Practical policies and processes that work for your team size.
- AI register design and implementation
- Model risk policy and approval workflow
- Data governance policies integrated into engineering workflow
- Board-ready AI governance documentation package
Implementation Support
Governance embedded in your engineering workflow, not bolted on.
- CI/CD pipeline integration for compliance checks
- Team training on AI Act obligations and practical compliance
- Tooling setup for ongoing monitoring and audit trail
- Regulatory review preparation and submission support
This is a fit if...
Typically suited to companies with £1M–£50M revenue and an active engineering team.
✓You're a good fit if:
- HealthTech companies building AI-powered clinical tools needing DTAC/MHRA compliance
- FinTech scale-ups with AI features subject to FCA or GDPR scrutiny
- HR and recruitment tech companies using AI in high-risk decisions
- Any company selling AI products into the EU and facing AI Act obligations
- Leadership teams that want governance embedded in engineering, not imposed on it
✗This isn't for you if:
- Companies with no AI systems in production or near-term development
- Organisations looking for compliance theatre — policies without process
- Teams unwilling to make engineering workflow changes for compliance
- Companies outside regulated sectors with no external compliance obligations
- Situations where governance is only needed for a one-off document, not ongoing practice