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what we do

Agent Design & Orchestration

We map your workflows and design the agent graph before anyone writes runtime code.

The problem

Most agent projects start with a framework and a demo, then stall when they meet a real process — approvals, exceptions, systems of record, and the steps a person quietly handles today.

The decisions that matter — how many agents, who can act versus only draft, where a human signs off, what happens on failure — end up made implicitly in code, where they are expensive to change.

What we build

  • A written agent architecture: the agent graph, each agent's responsibilities, and the hand-offs between them.
  • Task decomposition scoped to your actual processes, tools, and data.
  • A risk model per step — read-only, draft-only, or act — with human-in-the-loop gates where they belong.
  • Failure and escalation paths: retries, fallbacks, and the point where the agent stops and asks a person.
  • An eval plan, so the design is testable from the first commit.

How it works

  1. Workshop your target workflows and pick the use-cases worth automating.
  2. Draft the agent graph and the guardrail model together.
  3. Review it with your operators and your security owner.
  4. Hand off the design as the spec the build follows.

What you get

  • Agent architecture document and diagram.
  • Prioritised use-case backlog with effort and risk notes.
  • Eval plan and success metrics.

Run it your way

Every build ships one of two ways. Most engagements start managed and move in-house once the team is ready — some stay managed for good.

Self-hosted

Runs in your own cloud account — AWS, GCP, or Azure. Your keys, your data boundary, your network. We provision it as infrastructure as code, configure it, and hand over the repository and runbooks. Your team operates it; we’re on call if you want us to be.

Managed by TaskBreaker

We run it in our infrastructure. You get an endpoint and an SLA. We own upgrades, patching, monitoring, spend caps, and on-call. It’s the fastest path to production and the least for your team to carry.

how we build
  • Runtime-agnostic design — OpenClaw, the Claude Agent SDK, or a custom runtime, chosen to fit the workflow.
  • Supervisor plus sub-agent patterns where a task needs a planner and specialists.
  • MCP as the integration boundary from day one.
See the full stack →