Inside a Flowuity Discovery.
A look at the two-week paid engagement that begins every Flowuity build. What we read, who we interview, what the memo contains, and why a clear no is the most useful outcome.
Every Flowuity engagement begins with a Discovery. It is paid, fixed-fee, and time-boxed to two weeks. There is no obligation to engage further at the end. Not every Discovery leads to a Build engagement — some end with a clear written recommendation that we are not the right partner, or that the timing is wrong, or that the opportunity exists but at a different size.
A Discovery has four streams running in parallel.
First, we read the operating reality. Existing systems, existing data, the actual workflows your team performs each day, the documents that describe how the business runs (and the gap between those documents and the work). We read the chart of accounts, the support ticket history, the customer interview notes if they exist.
Second, we interview. Six to ten people, internal and external — a mix of leadership, operators, and customers. The interviews are not surveys. They are conversations that look for the specific moments where value is created, where it leaks, and where the existing service motion will not survive growth.
Third, we model the commercial. Unit economics today, the unit economics of the productised version, the cost structure of building, the cost structure of running, the realistic acquisition cost across the channels that already exist for you. We do not compare to industry benchmarks. We compare to your numbers.
Fourth, we draft the architecture. Not in detail — that is the Blueprint engagement. But enough to know whether the technical path is one week or one year longer than what the commercial case can support.
The output is a written memo, twenty to forty pages, delivered in a working session. It contains a recommendation, the reasoning, a Build scope and budget if Build is the recommendation, and a list of the assumptions that, if wrong, would change the answer.
A clear no, at this stage, costs less than the wrong yes. That is the entire commercial logic of the Discovery.
→ Book a Discovery.
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The work that does not need a person.
Lead qualification, support triage, reconciliation, scheduling. When an AI agent is the right answer, how the economics work, and where agents fail in ways that humans do not.