An interactive look at how an AI Build actually unfolds, week by week. Toggle between the tech build and the operating build to see how the work differs.
Dana fields 8-12 after-hours and overflow calls a week. The firm loses an estimated ~300 calls a year to voicemail, with conservatively 25% being new-business inquiries that go to a competitor instead. The AI Build deploys an AI voice front desk wired to the firm's phone line and calendar - the same architecture we run on our own line today. By week 12 the firm has captured roughly $155K of Year 1 net value and Dana's back on real casework instead of the phones.
Most consultants do one or the other. AI consultants build the tech but cannot redesign roles or governance. Transformation consultants do the org work but outsource the tech. Here you get the whole arc: strategy, analysis, design, and delivery. That is why the two Builds fit together, regardless of which the Map called for.
When the Map's recommendation is an AI workflow. The work is configuration, integration, testing, and team training. Output: a workflow running in production with the team using it.
When the Map's recommendation is operational: role redesign, decision rights, cadence, governance, CI mechanism. The work is design, facilitation, training, and coaching. Output: a new way of running, with the team operating inside it.
Pick the Map that fits the question you actually have. The Build follows from the Map. Same shape across all engagements: discovery, design, transition, monitoring. Different content depending on what your operation needs.
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