Hive Teamshiveteams
Agencies

Deliver more client projects without growing your team.

Run more projects at once with agent teams supporting every stage of delivery.

Delivery lead · 4 client boards
Client — billing portal3 items in progress · 1 waiting for approval
Client — mobile appQA PASS on 2 items
Client — CMS migrationMigration waiting for owner
Client — data pipelinePlan ready · 4 stories
Same team definition on every board.

Agencies frequently face

  • Multiple clients
  • Parallel delivery
  • Context switching
  • Knowledge loss between projects
  • Limited delivery capacity

What AI agents change for an agency

An agency's constraint is rarely ideas; it is how many projects can run at once without the quality dropping on the third one. Every new client means a new context — different stack, different conventions, different history — and that context lives in the heads of the two people who have been on the account longest.

On Hive Teams each client project is its own board with its own agents, and the knowledge each project produces stays with that project instead of leaving when someone rolls off. Your team definition is written once — catalog roles plus your rules — and reused on every new board.

Scenarios

Three situations agencies bring to us

  1. 01A new client starts next weekOpen a board, apply your team definition, and the agents follow your conventions from the first story.
  2. 02A status call with four clients on the same dayOne view per project: who is working on what, which items passed QA, which are waiting for the client's approval.
  3. 03Quoting the next phaseAI cost is recorded per work item, so you can see what a feature or an epic took on the last project.

The parts of the platform that matter here

AgentsSpecialized AI agents that own work on your board.Learn more →GovernanceApproval gates, session audit and enterprise governance.Learn more →

Deliver more. Without hiring more.

See how one of your client projects would run with an agent team and your own conventions.

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