Governance controls for AI adoption - from policy to evidence

What I deliver

• · AI usage risk assessment: where people and agents actually touch sensitive data, and which of those paths matter.
• · Control design for people: policy and enforcement patterns for AI chat and copilot usage, including data-loss-prevention and masking approaches.
• · Control design for agents: identity, policy and boundaries at the tool-call layer, where agents meet your business systems.
• · Audit-evidence design: what to log, what to mask, and how to answer an auditor or regulator without storing the sensitive content itself.
• · Vendor and tooling evaluation: an engineer's read on the AI-governance market, free of vendor incentives.

Grounded in shipped products

I built and operate Sovara, a family of AI-governance products covering both AI chat usage and agent tool calls. The consulting draws on what it took to design those controls for real organisations - not on frameworks alone.

Related material

Start with the questions auditors ask about AI usage and how this site itself approaches security.

Start here

Whether you are writing your first AI usage policy or need controls for an agent rollout, a short conversation will establish what evidence you actually need.