Strategic Risk. AI Governance. Defensible Decisions.
For risk that doesn’t come with a framework.
Model
Shefali traces visible failures back to the design flaws underneath, then rebuilds the operating model so the issue does not resurface somewhere else.
Less policy, more implementation.
Less checklist, more signal.
The model below shows where that work applies, how judgment is formed, and what the register is meant to prove.
Line
Across each phase, the work has stayed consistent: understand how the system behaves, identify where control assumptions break, and design governance that reduces failure instead of adding ceremony.
That pattern now extends into AI governance: models, data, user interaction, evidence, accountability, and the decisions organizations will have to defend.
Writing
Register
Public analysis on AI governance, auditability, evidence, and control design.
Findings, open questions, and proof-of-thinking where traditional assurance assumptions begin to strain.
Direct contact for governance conversations, leadership opportunities, and hard problems that do not come with a framework.
Bring the problem that does not have a precedent.