An idea can sound simple from the outside. The work underneath it rarely is.
When we began exploring recovery operations, we spent time with the steps people actually take. A single account can involve earlier conversations, a payment promise, a document to review, and a decision about what happens next. None of those steps makes sense in isolation.
That observation shaped Recova. We wanted an agent that could keep the history together, prepare follow-up work, and make the next step easier to see. We also wanted the person responsible for the case to remain in control of consequential judgments.
Learn the sequence
The useful question was not “Where can we add AI?” It was “What does someone need to know before they act?” Once we understood the sequence, we could see which parts were repetitive, which parts needed context, and which parts needed review.
This way of working is slower than naming a feature in a meeting. It is much faster than building the wrong feature.
Build, then learn again
A product is a working hypothesis. We make a version, put it beside the real workflow, and learn from the gap. The next version should reflect what the work taught us, not just what sounded convincing in a plan.