Solutions · Product · Beta
AgentAI
AI agents management — the control plane for every agent you run.
A single cockpit to design, deploy, observe, and retire every Claude agent in your org. Skills, triggers, memory, cost, escalation policy — one pane of glass.
The pain
What teams keep telling us.
- Agents proliferate in random places — a hook here, a /skill there, a cron job on someone's laptop.
- Nobody can answer 'which agents are paying for themselves?' without a spreadsheet.
- When an agent goes rogue (or just stale), there's no kill switch and no audit trail.
How AgentAI helps
The shape of the product.
- Inventory + topology of every agent: where it runs, what it touches, who owns it.
- Per-agent cost + impact dashboards from the first invocation.
- Policy engine: rate-limits, allow/deny tools, escalation rules, kill switch.
Capabilities
What you get on day one.
- Agent registry with role + scope + owner per entry
- Live invocation log with token + cost + latency per call
- Skill marketplace: install, version, share inside the org
- Triggers: cron, webhook, file change, PR event, Slack mention
- Escalation policy: confidence thresholds → human review
- SOC2-friendly audit trail per agent action
Shipping now
- Beta with 12 design partners
- GA targeted for 2026-Q4