Exception audit
When the agent kicks an edge case to human, an operator picks it up, decides, and feeds the resolution back to the agent for next-time pattern matching.
Agents handle the volume. Operators handle the edges. Not generic VAs, not offshore data-entry farms. Production-grade humans with workflow context, on call when the AI gets it wrong.
What operators do
When the agent kicks an edge case to human, an operator picks it up, decides, and feeds the resolution back to the agent for next-time pattern matching.
Operators run a Slack channel with you. Every agent decision visible. Operator interventions logged. No black box.
Beyond dashboards: a short written analysis of what the agents did, what broke, what improved, what to fix next.
You define what reaches a human. Cost thresholds, sensitivity tags, confidence scores, sentiment triggers. Tunable per workflow.
Talk to a co-founder