Rules your agents and your people both follow.
AI Governance
Pillar 02 of an AI-first operating model
Every team has rules in somebody's head. Governance is what happens when you write them down once, in a place your agents and your people can both find. The audit trail comes for free.
•Agent SOPs and SKILL.md authoring
The handbook your AI agents actually read. Written like onboarding docs, version-controlled in your repo, traceable on every run.
•Model approval and use policies
Who's allowed to use which model for which task. Built for mid-market reality, not a 200-page Big 4 deliverable that nobody opens twice.
•Data classification that holds for humans and agents
What goes in a prompt, what never does, and what gets redacted. One standard, applied to your team and your tools the same way.
•Compliance scaffolding mapped to the frameworks that matter
EU AI Act, NIST AI RMF, and ISO 42001 mapped to the controls you actually need. Built for audit, not for theater.
•Audit trails and accountability you can show a board
Every agent action, every escalation, every human override logged and reviewable. Proof for your board, your insurer, and your regulators.
"We had a policy doc nobody read and an audit deadline. YNDR turned the policy into agent SOPs and the SOPs into the audit response. That's the playbook now."
Chief Compliance Officer
Regional Financial Services Firm