AI Audit Orchestrator
An end-to-end automated internal audit workflow. Planning through fieldwork to reporting. Agent-driven, standards-aligned. The experiment that started the "Oh fuck" moment.
Projects
What I'm building, experimenting with, and thinking about.
Current Experiments
Continuous Control Monitoring
Real-time agents that check controls continuously rather than sampling once a year. Testing viability for always-on assurance.
AI Control Frameworks
Documentation and reference architectures for governing autonomous AI systems. What does "assurance" look like when the system auditing is itself AI?
Future Ideas
Things I'm thinking about but haven't started:
- Resilience Audit Framework — shifting from compliance to forward-looking blind-spot detection
- Regulatory Translation Tools — bridging AI systems and legal frameworks
- Knowledge Worker Survival Guide — practical playbook for navigating professional disruption
If any of these interest you, or if you're working on something similar, get in touch.