See what I'm building.
Explore vendor, control and risk cases. Watch AI connect the records, then see where a practitioner still has to make the call.
Explore the demos →This Is GRC · Pierre-Paul Ferland
A vendor starts taking customer calls. A control quietly drifts. The review is months away. This is when GRC should be useful.
I build and teach AI-native GRC: systems that catch the change, understand the business around it, and put a better decision in a person's hands.
See what I'm building →Read the argument ↓The argument
If our work begins when someone asks for proof, we missed the moment when we could have helped.
I want GRC close to the systems and people making decisions. AI can connect changing signals across the enterprise. Practitioners bring curiosity, judgment and relationships. Together, we can understand what matters and act while there is still a choice.
Start here
See a working example, read the case for change, or bring the conversation to your team.
Explore vendor, control and risk cases. Watch AI connect the records, then see where a practitioner still has to make the call.
Explore the demos →Why technical fluency, curiosity and relationships matter more than another perfect spreadsheet.
Read “GRC is Technical” →I speak about AI in GRC, working inside technical processes, and teaching AI how experienced practitioners make decisions.
See speaking topics →More from me: original essays · how I teach · about Pierre-Paul