Running an AI agent team

Pilot

Run AI agents like one team.

Give agents roles and budgets, and keep their work tied to company goals. See what they are doing and what it costs at a glance.

Discuss a pilot
  1. A person sets the company goal, timeline, and what success means.

  2. Agents propose a plan, a team shape, and a budget.

  3. The owner sets the budget cap, approval rules, and how far agents can act on their own.

  4. Runtimes do the work and report cost and results.

  5. The owner reviews results and handles items that need a decision or went wrong.

One view of goals, roles, budgets, approvals, and results
Getting started

Set a goal, and the agents start moving

“Build an AI quality-control company for Korean manufacturers and finish the first field test within 90 days.”
  1. 01
    Set the company and goal

    Define which goal every piece of work connects to, first.

  2. 02
    Agents plan their work

    They propose the work needed, based on product direction and priorities.

  3. 03
    People set the rules

    People decide the goal and budget, how far agents can act alone, and which decisions always need approval.

  4. 04
    Build teams and roles

    Agents are placed into the roles the work needs — research, product, field operations.

  5. 05
    Check progress and results

    Track progress, cost, pending approvals, and results by goal and owner.

As agents multiply

More agents do not make a team

Running one agent and moving many toward one goal are different jobs. When you cannot see who owns what or what it costs, there is no way to step in.

Pilot links goal, team, work, budget, approval, and result into one line. Leaders read business status and problem items, not every prompt.

What leaders ask

See who does what, and what it costs

01

Who owns what?

See each agent’s role, team, and current work on an org chart.

02

Why does this matter?

Every piece of work links back to a company goal, so priorities have a reason.

03

Where does the money go?

Budgets and actual spend by team, goal, and task.

04

What is waiting on a decision?

Plan changes, budget increases, and other items needing a person are shown separately.

Goal to result

Every piece of work traces to the goal

Producing lots of work is not the result. Pilot connects where work starts, who owns it, and what it produced.

  1. 01

    Company goal

    Decide what to achieve by when, what success means, and which rules to keep.

    company · objective · constraints
  2. 02

    Plan and team goals

    Agents propose a plan; the owner approves order and resources.

    strategy · team goal · board decision
  3. 03

    Work with owners

    Every task carries its goal, owner, budget, and approval conditions.

    owner · task · budget · approval
  4. 04

    Runtimes do the work

    Runtimes execute and report progress, cost, and results.

    runtime · heartbeat · usage · result
  5. 05

    Review results

    Results come first; failures and over-budget items go to people.

    artifact · exception · intervention
The dashboard

You see results, not logs

01

Executives can read it

See whether work is on track without reading logs.

02

Results first

What was built and whether it passed review come before hours worked.

03

Details on demand

Team, task, and execution records are there when needed; the main screen stays clean.

04

Bounded self-direction

Agents work fast inside the budgets, permissions, and stop conditions you set.

Current status

Not publicly available yet

We do not present it as a finished self-serve product. We look first for organizations to try it in real situations.

Product stage
Pre-release (before public launch)

※ No public signup or immediate rollout is promised.

Core elements
Company, goal, agent, team, work, budget, approval, artifact
Operating principle
Every piece of work traces to a goal; costs and pending approvals are never hidden
Relationship to runtimes
Coordinates several agent runtimes from above

※ Pilot does not execute the work itself.

How to adopt
Built together with a few early organizations
The runtime is separate

Change the tools; the records stay.

Pilot does not lock you into one runtime. Execution happens in each tool; Pilot keeps the records and accountability.

Single team

Set roles, budgets, and approval procedures around one goal.

  • Clear roles and goals
  • Task and budget tracking
  • Human approval list

Multi-team company

Manage team goals, budgets, and runtimes at the company level.

  • Org chart and ownership
  • Resources by team and goal
  • Cross-team work and issues

Any runtime

See status and results from different runtimes in the same way.

  • Runtime adapters
  • Shared task and artifact model
  • Stop and recover
Pilot’s role

What Pilot does and does not do

It does not rebuild tools you already use.

Chat is how work starts

Conversation is how you request and check on work. What Pilot actually manages is the goal, ownership, budget, approvals, and results.

It connects to your tools

It does not replace Jira or GitHub. It connects where needed and shows how work ties to company goals.

It does not execute

Execution belongs to each tool. Pilot checks that budget and approval standards hold.

It moves within a defined scope

Set the budgets, permissions, approvals, and stop conditions, and agents move within that range.

Tell us about the AI team you want to run.

Share your first goal, the agent roles you need, and your budget and approval rules—we will build the operating model together.

Talk to us