📝 Blog • Geniuspace® algorithm
KPIs for Procurement & Sales with Agentic AI (What Committees Trust)
A KPI system for agentic AI in procurement and sales: measurable outcomes, controls, and evidence that withstand audit and steering committees.
🛡️ Governance
📜 Evidence trail
☁️ On‑prem/VPC/Edge
Key takeaways
- Outcome KPIs: cycle time, savings, margin, win rate, compliance.
- Quality KPIs: accuracy, hallucination rate, policy violations.
- Operational KPIs: uptime, incident response time, rollback success.
- Governance KPIs: evaluation coverage, approvals, audit completeness.
Outcome vs control KPIs
Executives need business outcomes, but governance requires control metrics. Track both to avoid “growth without safety”.
KPI examples
- Procurement: savings validated, cycle time, maverick spend
- Sales: win rate, margin, cycle time, concessions
- Control: policy violations, data leakage alerts, incident count
Evidence that survives audits
Log what the system did (tools called, sources used, approvals) and link it to each KPI in a traceable way.
Procurement note
If you want this to survive audits, insist on artifacts: requirements, evaluation gates, logs, incident procedures and reversibility clauses.