How to scope an AI agent workflow
A practical way to define the trigger, conversation, decisions, actions, exceptions, and owner before implementation.
Read the guideResources
Practical field notes for putting agents to work.
Guides for teams defining customer workflows, evaluating agent performance, and deciding where automation should stop.
Operator guides
Design the process before selecting the AI.
Each guide focuses on the operational decisions that make an agent useful after the first impressive conversation.
What to measure in a voice-agent pilot
Move beyond call volume and evaluate outcome accuracy, next-step completion, handoff quality, and operational fit.
Read the guideFrom lead response to booked next step
Map the moments where speed, qualification logic, scheduling, and human ownership need to work together.
Read the guideEvaluation standard
Judge the agent by the workflow outcome.
Define the acceptance criteria, review conversation and action quality, and inspect failure paths before expanding volume. Customer stories will include enough implementation and measurement context to make the result useful.
Bring one customer workflow. Leave with a clearer operating plan.
Show us where conversations slow down, context gets lost, or the next step waits on manual work. We’ll map where an AI agent can help, and where a person should stay in control.