From Prompt to Production: A 90-Day AI Consulting Playbook for Mid-Market Companies
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    From Prompt to Production: A 90-Day AI Consulting Playbook for Mid-Market Companies

    February 12, 20267 min readBy smert.ai Team

    Why 90 days, not 90 weeks

    Most AI consulting engagements stall because the scope is too wide. A 90-day plan forces a single, measurable outcome β€” and gets the organization comfortable with shipping AI to real users before sentiment cools.

    Days 1–15: Discovery and the single bet

    The first two weeks are not workshops. They are interviews with the five people whose work would change most if AI worked. The deliverable: one workflow, one KPI, one owner.

    We look for workflows that are:

    • High frequency (runs daily, not quarterly)
    • Currently done by humans with structured inputs
    • Measurable in dollars saved or revenue added

    Days 16–45: Build the smallest thing that proves it

    A working prototype on real production data inside the first 45 days. No slide decks, no architecture diagrams the business won't read. Typical builds at this stage:

    • Retrieval-augmented chat over internal documentation
    • Automated triage of inbound support tickets
    • AI-drafted sales emails from CRM context
    • Computer vision quality checks at the end of a production line

    Days 46–75: Pilot with one team

    Roll out to a single team of 5–15 people. The goal is not adoption β€” it is honest feedback. Instrument every interaction. Read the failure cases weekly.

    Days 76–90: Production hardening and handover

    Failover, auth, rate limiting, audit logs, cost monitoring, and a written runbook for the in-house team. We leave a system the client owns β€” not a black box only the consultant can touch.

    What a good outcome looks like

    By day 90 a mid-market company should have:

    • One AI workflow in production used by real employees daily
    • A measured baseline and a 60-day delta on the chosen KPI
    • An internal champion who can extend the system without us
    • A roadmap of the next three bets, ranked by ROI

    The most common mistake

    Treating AI as a tool procurement decision. The unlock is workflow redesign β€” the model is the easy part.

    Book a free AI consulting discovery call.

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