Pilot Agent
One workflow, end-to-end, in production.
What you leave with
A deployed AI agent owning a specific workflow, with an eval suite and ops playbook your team can run.
What we ship
- Agent design + architecture (tool schemas, prompt structure, model selection)
- Production deployment to your infrastructure (or our managed hosting if preferred)
- Eval suite — automated tests covering happy paths, edge cases, and failure modes
- Observability — request traces, cost tracking, alerting on anomalies
- Ops playbook — what to do when the agent misbehaves, how to roll back, how to update prompts
- Knowledge transfer — 2× engineering pairing sessions with your team
Ideal for
Teams ready to ship a real agent now — not a prototype, not a demo. Best when paired with a Discovery sprint, but stand-alone Pilots work when you already know which workflow you want automated.
Risks we name up front
Every consulting engagement has predictable failure modes. Here are the ones specific to Pilot Agent, and how we prevent them.
Scope creep into integration work that wasn’t part of the agent build.
Pilot scope is one agent + one workflow, written into the SOW. Adjacent integration work (Salesforce middleware, custom ETL, etc.) gets its own engagement.
Solo-genius dependency — agent works only because we built it; your team can’t evolve it.
Eval suite + ops playbook + 2 pairing sessions are how we make sure your team can change the agent without us.
The agent ships but doesn’t move a real business metric.
Success metrics are defined in writing on day one. If the metric isn’t hit by week 6, we extend at our cost until it is.