Outcomes
Automate multi-step knowledge work where conventional rules are brittle, while preserving accountability for consequential actions.
Capabilities
- Agent opportunity and risk assessment
- Tool, memory, and orchestration architecture
- Permission boundaries and approval gates
- Trace evaluation, cost controls, and observability
Delivery approach
We start with a narrow workflow, explicit success criteria, and reversible actions. Autonomy expands only when evaluation evidence supports it.
Frequently asked questions
When is an agent the wrong choice?
When a deterministic workflow can solve the problem more safely, cheaply, and transparently.