Agents that read the incoming work, decide against rules you define, and take the action themselves — with a human hand-off for anything they're not sure about.
We wire agents into the tools your team already uses — inboxes, ticketing systems, spreadsheets, internal dashboards — so they read incoming work, make a decision against rules you define, and take the action themselves. Every agent ships with a confidence threshold and a human hand-off path for anything it isn't sure about.
Most engagements start with the highest-volume, most repetitive decision in your workflow — the one someone on your team makes the same way, fifty times a week. We automate that first, measure it in production for two weeks, then expand scope once the pattern is proven.
We map the workflow end to end and flag every decision point that's repetitive enough to automate.
We turn your team's judgment calls into explicit rules and confidence thresholds the agent will follow.
The agent runs in shadow mode against real incoming work before it's allowed to act unsupervised.
Live with a human hand-off path, weekly demos, and a dashboard showing exactly what it automated.
No — it takes the repetitive decision off their plate so they can spend time on the judgment calls that actually need a person. Anything the agent isn't confident about gets handed off, not guessed at.
Inboxes, ticketing systems, spreadsheets, internal dashboards, and most tools with an API. We scope the exact integrations during the discovery sprint.