Workflow automation
An illustrative look at how we turn a manual, multi-step back-office process into an adaptive-agent automation, taking work that eats hours down to minutes.
An illustrative example of the kind of work we do, not based on a specific client engagement.
The pain point
A back-office team was spending hours each day on a repetitive, multi-step process: moving data between systems, applying the same judgement calls over and over, and catching each other's mistakes.
It didn't scale: every busy period meant overtime or a backlog, and the institutional knowledge lived in a handful of people's heads.
Our approach
We map the process end to end, then automate it with adaptive agents that handle the routine path and flag genuine exceptions for a human, rather than a brittle script that breaks on the first edge case.
Humans stay in the loop where judgement matters; everything else runs hands-off.
What we built
The kind of automation we build for this:
- Process mapping: documented the real workflow, including the exceptions.
- Adaptive agent pipeline: automates the routine path and escalates true edge cases.
- Integrations: wired into the systems and tools the team already runs every day.
- Monitoring: observability so the team can trust and audit every run.
The outcome
Done well, a process that used to eat a morning runs in minutes and reliably, freeing the team for the work that actually needs a human.
Have a problem like this?
Let's talk about what it would take to ship.