One control plane for an AI workforce.
Agent Command Center is the orchestration layer for a team of AI agents — not the agents themselves. It schedules them, dispatches their work, and writes one shared log of record so the team is actually coordinated, not just busy.
Schedule, dispatch, observe.
Agent Command Center turns approved agent definitions into scheduled work, routes tasks, and records every handoff — so the picture of what is happening across the team stays current.
1. Schedule
Define which agents run, when, and on what work. Schedules live in version control alongside the agents themselves.
2. Dispatch
Routes work to the right agent with explicit human ownership and an explicit target worker. Missing routing fails loudly, not silently.
3. Observe
Telemetry is the canonical record. Leaders ask “what happened” and get an answer grounded in the log, not in a status meeting.
Most teams are buying agents. Few are buying the way to run them.
Without an orchestration layer, an AI workforce is a collection of demos. Agent Command Center is the layer that turns specialized agents into a team you can actually trust to ship, report, and stay coordinated.
Coordination, not chaos
Agents share a routing contract and a telemetry log, so handoffs are explicit and accountability is traceable.
Leadership-grade visibility
One log answers what got done, what is in flight, and where work stalled — without trusting any agent's self-report.
Built to extend
Add the agent your team actually needs — finance, support, research — and it runs the same way as the rest.
Tell us where your AI workforce is breaking down.
We will help you map the work to a small team of agents, scope the orchestration that holds them together, and tell you whether to start with a single agent on a schedule or a coordinated set from day one.