Know which AI agents
actually deliver
Every AI agent working in your processes, ranked by the outcomes that matter: cases handled, accuracy, speed and value delivered.
Agent Leaderboard
Every agent, one ranking
Agents connected to your process model through MCP report back on the work they do. The leaderboard shows how each one performs on the steps it owns, side by side.
- Cases handled per agent
- Accuracy and escalation rate
- Value delivered per agent
- 1Offer drafterQuote creation · Draft offer41296%€19.8k ▲
- 2Invoice readerInvoices · Enter details1,98098%€8.4k ▲
- 3Lead qualifierSales · Qualify request65589%€3.1k ■
- 4Order status botService · Answer status2,34074%−€0.6k ▼
Agent Leaderboard
Compare agents with people, fairly
Measure agents against the same baseline as the human-run process. See where an agent beats the old way, where it merely matches it, and where people should stay in the loop.
- Same KPIs for people and agents
- Baseline comparison per step
- Clear human-in-the-loop signals
- −91%4 min
Handling time
Baseline: 45 min
- +8 pts96%
First-time-right
Baseline: 88%
- Expected7%
Escalated to people
Baseline: n/a
- −61%€21
Cost per case
Baseline: €54
Agent Leaderboard
Govern agents with evidence
Spot underperforming agents before they cost you. Rising error rates, escalation spikes and drifting handling times surface early, so you can retrain, replace or route work back to people.
- Error and escalation trends
- Per-agent performance history
- Fallback to the human path
Hold your AI agents to account
Agent Leaderboard shows which agents deliver, on the work that matters.