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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
- Workshop your target workflows and pick the use-cases worth automating.
- Draft the agent graph and the guardrail model together.
- Review it with your operators and your security owner.
- 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.
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.