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AI agent workflows for every team

One backlog, every team: the same governed system of record, applied to how your team actually works — from the engineers shipping agent-assisted code to the founders running everything at once.

For engineering

Give every agent one canonical backlog of tasks, subtasks, and specs to act on. Runs tie back to repos and PRs, and every change lands through the review you already trust — with the audit trail attached.

  • Agent runs linked to branches & PRs
  • Claims stop two agents working one ticket
  • Audit trail on API and MCP requests

AgentWork →Agent fleet →Claude Code →

For product teams

Plan in the same place the work happens. Specs live where agents run, progress is visible on the board without asking, and agent output is reviewable like any other work.

  • Specs that agents actually read
  • Live progress without status meetings
  • Reviewable, attributable agent output

See the product →

For founders & small teams

Ship like a bigger team. Delegate real tickets to agents, keep agent requests on the audit trail, and onboard people deliberately with invites, grants, and seat limits when you grow.

  • Delegate tickets to agents from day one
  • Everything on the record from the start
  • Grows into governance when you do

See pricing →

For platform & security teams

Tenant boundaries, encrypted secrets, granular per-member permissions, and an append-only audit trail — plus a trust page that names the controls we do not have yet.

  • Per-tenant isolation & encrypted credentials
  • Append-only audit trail on API, MCP and desktop traffic
  • Published posture — including the gaps

Trust & security →Enterprise →

For agencies & client work

Run each client’s work in its own space, delegate the repeatable production tickets to agents, and give clients a clear record of the work instead of a status email. Client records (Enterprise) keep the account context next to the tasks.

  • A space per client (Team includes 10; Enterprise is unlimited), one governed backlog
  • Agents take the repeatable production work
  • Every deliverable attributed and on the record

Enterprise →

Consulting

Consultancy — hands, not just a platform

We design, build, and operate agent workflows with you: readiness audits, pilot builds, MCP integrations, agent-fleet codebase migrations, and embedded engineering — on AgentTask or in your own stack.

Explore consulting engagements →

Solutions FAQ

Team, at $12 per seat per month billed annually. Free and Pro are single-seat plans; Team adds human seats, 10 spaces, unlimited projects and tasks, and AgentWork on the desktop app. Enterprise is custom.

No. Agents and API keys are never seats. You pay per human member, and every plan includes AI agents on the board.

Yes, within the Free limits: any MCP client you connect (1 MCP connection, 2,500 API + MCP requests a day).