Start with the work
We study the process before deciding that AI belongs in it. A useful implementation solves a defined problem and fits the people responsible for the result.
Our Approach
Use AI where it improves the floor.
A good implementation is specific about the work, the boundaries, the role of brokers and managers, and who remains responsible after launch.
Keep people where judgment matters
Agent systems are well suited to defined work, consistent information, repeatable action, and disciplined follow-up. People remain responsible for work that requires discretion, authority, empathy, or professional judgment.
Design the exceptions
Routine performance is not enough. We test interruptions, incomplete information, unusual requests, system failures, and situations that require escalation.
Remain accountable
The work does not end at launch. We review performance, correct weaknesses, update the system as the business changes, and remain available when new AI needs arise.