AI agents that do real work
An agent is only useful when it owns a piece of work end to end and knows when to hand it back to a person.
How we scope an agent
Each agent gets a blueprint before any code exists: the trigger, the inputs it can read, the actions it may take, the output format, the quality bar and the escalation rule.
- Trigger — what starts the work
- Context — which systems and documents the agent may read
- Boundary — what it may never do without a human
- Evidence — what it must log so the result is auditable
Where agents earn their place
Intake and qualification, quote and estimate preparation, document generation, scheduling and dispatch coordination, status chasing, reporting, and the long tail of internal questions that currently interrupt experienced people.
Why they work here
Agents are deployed against the Digital Twin, so they operate with the company's own structure, terminology and rules rather than generic assumptions.
Questions
- What happens when an agent is unsure?
- It escalates. Every agent we ship has an explicit uncertainty path to a named human, and the escalation is logged.
- Do agents replace staff?
- In our engagements they absorb repetitive work so experienced people spend their time on judgment, relationships and delivery.
Start with the baseline, not the tooling.
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