- A production agent workflow
- Visible state and decisions
- Controlled tool access
- Operational ownership after handoff
Agent Systems
Build a bounded agent workflow that can call tools, resume work, handle errors, and keep a human in control of consequential actions.
Built for a real decision or delivery constraint.
Teams moving beyond chat toward delegated multi-step work in operations, support, research, or software delivery.
- Budgets and stop conditions
- Approval gates
- Durable job state
- Evaluation and audit trails
- Agent backend and tool layer
- Evaluation harness
- Failure and recovery paths
- Monitoring and runbook
- Training and handoff
Scope is agreed before implementation. Material changes are estimated separately. Third-party infrastructure and model usage remain visible and are normally billed directly to the client.
No black-box demo. No indefinite discovery.
Every engagement begins with explicit acceptance criteria and ends with source, tests, deployment configuration, and operational documentation appropriate to the scope.
If the use case does not justify an AI system, the recommendation may be normal software, simpler automation, or no build at all.
Start the agent systems with a clear boundary.
The Architecture Review turns a use case, prototype, or delivery opportunity into a defensible implementation plan in five business days.