Build
Workflow & Task Automation
Most of what looks like an AI problem is a process problem with a transcription step in it.
What is in scope
- Mapping the process as it actually runs, not as the documentation claims
- Identifying which steps are deterministic (script them) and which need judgement (AI)
- Building the automation, including the error paths
- Connecting the systems involved
- Monitoring, alerting and a manual fallback for when something upstream changes
How the engagement runs
- Process mapping. We watch the work happen. The gap between the documented process and the real one is usually where the savings are.
- Cut the obvious. Often a third of the steps exist because of a constraint that no longer applies.
- Automate what remains, AI only where judgement is genuinely required.
- Run it in parallel before switching over, so you can see it matching reality.
What determines the price
Scoped per process. Cost tracks the number of systems involved and how much exception handling the process needs — the exceptions are almost always the expensive part.
When this is the wrong service
Stated plainly, because an engagement that should not have happened costs us more than it costs you.
- The process is about to change for business reasons. Automating a process that is being redesigned wastes both efforts.
- It runs twice a month and takes ten minutes. Automation has a maintenance cost; that one is not worth paying it.
- Nobody will own the automation. Unowned automation fails silently, which is worse than a manual step.
Bring us the process that keeps breaking
A short call is usually enough to tell you whether this is the right service.
