Capability · Build
Controlled autonomy: agents where they are safe, approvals where the cost of error is high.
Workflow systems in which software agents plan and execute multi-step work across your tools, inside boundaries defined by the business.
What it includes
Scope of the capability
- Workflow redesign with explicit states and exception paths
- Agent orchestration with tools, memory and guardrails
- Human-in-the-loop approval and escalation design
- Multi-agent coordination where the process requires it
- Operational monitoring of agent behavior
How we work
The engineering stance
- Not every problem needs an autonomous agent. We classify each step as deterministic, AI-assisted, agent-executed or human-approved before writing code.
- Agents get least-privilege access to tools and data, and every action is logged.
- Autonomy expands as evaluation data proves the system is reliable, not before.
Technical notes
- Bounded tool permissions per agent
- Replayable execution traces
- Policy checks before side-effecting actions
Where it applies
Solutions that rely on it
Next step
Where would an intelligent system change your operation first?
Start with an AI Opportunity Sprint, or book a 30-minute conversation about the process you have in mind.