The work runs itself. You keep the control.

Often yes, and we will tell you honestly whether it is the right home for the workload. Per-task pricing models get expensive at volume, and business logic locked inside a low-code canvas is hard to review, test and version. Where your platform fits, we use it. Where it does not, we will show you the maths.

It retries with backoff, and if it still cannot proceed it stops in a known state rather than half-committed. An alert fires to the on-call route you specify with the run id, the failing step and the current state. The runbook we write tells your team exactly how to resume or roll back. Nothing requires an engineer to reconstruct what happened from logs.

By refusing to. The redesign phase exists specifically to strip out steps that only exist because of a historical system limitation or a control that is no longer needed. Automating waste just produces waste faster and makes it harder to see.

For high-volume back-office processes, typically four to nine months. For lower-volume or highly variable work it can be longer, and sometimes the answer is that it should not be automated at all. The assessment gives you the number before you commit to a build.

No — and waiting for clean data is how these programmes die. We design for the data you have, with validation and exception paths that surface quality problems as a by-product. Most clients find automation improves their data quality faster than a data cleanup project would have.