Which agents exist, and what breaks?
Agents built on every platform, deployed by every team. SuperOrgs shows the whole fleet: who owns each one, what it does all day, and exactly why a run failed.
Live activity
LivePipeline run failed: stale token
2.1s · $0.03Pulled 214 stale CRM rows 0.8s
Salesforce update 401 · token expired
Orion Stale Salesforce token. Reconnect and this run replays clean.
Fin resolved ticket #4821
now$0.04Triage routed 12 new tickets
2m$0.11Scout enriched 40 accounts
5m$0.09Orion Fin handled 84 tickets today at $3.20 total, about half your support volume.
Live activity
Every run, as it happens
Sound familiar?
Sprawl across platforms
Claude here, Databricks there, someone's n8n in the corner. No inventory, no owners, no standards.
Failures found by users
A broken agent is discovered when its work does not arrive. Nobody watched the run fail.
Nobody to page
When an agent misbehaves there is no owner, no reporting line, and no escalation path.
From idea to active, one board.
Every agent has a lifecycle, an owner, and a live activity stream, whatever platform it runs on.
- Open a failed run and see exactly why
- Follow any agent in Slack
- Agents built anywhere stream in
- Owners and reporting lines on every agent
+1 more
+15 more
Agent planning
Every agent, from idea to active
Capacity in dates, not vibes.
Each pod computes build slots from its real builders. Queued agents get a projected start date, and a pod with no builder says so and offers two fixes.
Support Pod
2 slots freeFin, Triage, Scout
Agentic Pods
Spend, savings, and capacity in dates
2 days to 10 min
Uber's financial pacing reports went from two days to ten minutes after one pod paired an engineer with the person who does the work.
Source: Uber's CTO, July 2026Ask this on day one.
These work inside SuperOrgs through Orion, or from Claude, ChatGPT, and Cursor over MCP.
See your whole workforce.
Humans and agents on one org chart, organized into pods that own real work.