What is Evolve Workflow Audit?

The Evolve Workflow Audit answers one question properly: where does the week actually go, and what is it costing. It runs as a standalone fixed-fee engagement, and at the front of every Evolve build. Before any model is selected, before any code is written, and before any platform decision is made, we run an audit.

What makes it different is coverage. Most assessments ask a leader to rate the business, or interview a handful of people and extrapolate. We ask everyone in scope. Each person spends 15 to 30 minutes describing the routines that consume their week, in their own words, with the time, frequency and number of people involved attached. That turns opinion into arithmetic.

The audit covers four observable phases. We listen, capturing every participant’s routines. We map, building an explicit picture of how a given workflow moves across people, systems, and decisions. We score, evaluating each candidate opportunity against a consistent rubric: business impact, technical feasibility, regulatory risk, change-management cost, and time-to-value. We sequence, producing a phased roadmap that makes the order of work obvious.

A census creates a problem that a sample hides: several people often describe the same process, and adding their hours together inflates the finding, sometimes threefold. The audit detects that overlap and corrects for it, and the report shows the raw total alongside the corrected one so the adjustment is visible rather than assumed. Most tools in this space have an incentive to publish the bigger number.

The deliverables are concrete. An opportunity register, ranked. A workflow map for each priority area. Recommended sequencing with realistic timelines. Compliance and governance notes for any opportunity touching client data or regulated decisions. The output is board-ready and is the document the engagement is then planned and priced from. It is yours to keep whatever you decide to do next.

For regulated UK mid-market firms, the audit matters because most failed AI projects fail in the first two weeks of choices, not in the final two weeks of build. Picking the wrong workflow, missing a compliance dependency, or underestimating the change effort is far more expensive than any technical mistake. The audit is the safeguard. Clients describe the experience as "the only consultancy meeting where we left with a clearer picture of our own business than when we walked in."

The underlying tooling is proprietary and remains so. What clients see is the output: a sharp, defensible, and immediately actionable view of where to invest.