DorabonaAI governance for regulated industries
Trust, continuously proven.
Dorabona helps medtech, telecom, and engineering organizations turn AI compliance from a one-time checkbox into a living, auditable system, ready for the EU AI Act and beyond.
Why Dorabona
The rules are changing. Most systems aren't ready.
Regulators are converging on continuous, auditable re-certification, not the point-in-time model cards most organizations still rely on. The window to prepare is now, not after the deadline lands.
How we help
Five ways to close the gap.
Strategic advisory
What should you do, and will it survive contact with regulators and the board? We build AI strategy and governance designed to survive an audit, not just a pitch, drawing on the same discipline behind our founder’s Oxford capstone: a scenario-based AI strategy playbook for clinical MedTech, delivered as a live proposal to Philips’s Chief Innovation & Strategy Officer.
Governance & assurance
How do we run this so it survives an audit? We build governance architecture for continuous re-certification, not a one-off review.
AI capability build
Who builds and runs this once we’re gone? We stand up a dedicated AI delivery capability, through a partner network, built to transfer, not permanent dependency on us. Our founder used the same approach to take a GenAI DevOps and test-automation programme from a 12-vendor selection to live deployment across half of Philips’s portfolio in a year.
Workforce of the future
How should an IT services firm restructure its own delivery model for the agentic-AI era? We advise the firms doing the delivering, not just the firms being delivered to.
Program design & leadership
What happens when a programme is stuck, or nobody internal can touch it without conflict? We take that work on directly, starting with a quantified diagnostic, not a slide deck. It’s the same discipline our founder used to deliver a 68-country IT separation on time and under budget, a Philips CIO Award win.
In development
One system. Every jurisdiction. Always current.
A jurisdiction-portable continuous-assurance layer: ingest a model's change log, produce audit-ready re-certification evidence mapped to every regime that applies, automatically.
Coming first to a small number of governance and assurance clients.
Resources
A scenario-based playbook for AI in regulated industries
Winning either way: scaling clinical AI to 2030
Developed as a scenario-based AI strategy playbook for clinical MedTech through the Oxford AI-Driven Business Transformation Executive Programme, and presented as a live proposal to Philips’s Chief Innovation & Strategy Officer. Adapted here for regulated industries broadly: the moves that hold up whether clinical trust in AI hardens or fractures by 2030.
Request the paperAbout
Built by someone who has run the transformation, not just advised on it.
Twenty-five years running data, digital product, and AI programmes to board level, the last twenty at Philips across SAP, enterprise data, PLM, eCommerce, and GenAI, including a headless commerce platform handling €1.4B in annual order intake. The scale behind that: a 250-person team on a €22M budget, and a €60M IT separation across 68 countries delivered on time. Independent since July 2026.
Contact
Let's talk.
Whether it's a first conversation about the compliance wall ahead, or a workforce-of-the-future question for your own delivery organization, get in touch directly.
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