Formal validation for high-risk systems
Reduce architecture risk in critical workflows before they ship
I help CTOs and engineering teams validate critical workflows in distributed and AI-enabled systems. The goal is to find subtle design flaws before they become expensive operational problems.
Problem
The expensive failures usually start in the workflow
In distributed and AI-enabled systems, the real risk often sits in approvals, retries, permissions, side effects, and state transitions that look reasonable until they interact.
Once those flaws reach production, they stop being design questions. They become incidents, reversals, and manual workarounds.
Method
Formal methods used narrowly, where they change design decisions
- 01 Identify the workflow where a subtle failure would be most expensive to detect late.
- 02 Make the invariants explicit: what must never happen, and what must remain true under retries, concurrency, and failure.
- 03 Model the workflow formally to expose race conditions, authorization gaps, invalid retries, and unsafe side effects.
- 04 Refine the design until the guarantees are clear enough to build against.
Fit
For teams carrying real system risk
This work is for CTOs, founding engineers, and technical leaders building systems where hidden design flaws are expensive: distributed workflows, approval chains, agent orchestration, irreversible side effects, and permission-sensitive operations.
The outcome is not a vague claim of correctness. It is earlier detection of failure modes, reduced architecture risk, and clearer guarantees about how a workflow behaves under stress.
Conversation
Bring one workflow that matters and we can review where it fails
If you are designing a high-risk distributed or AI-enabled system, I can help you validate a critical workflow before implementation hardens a flawed design.
Discuss your architecture