The First 90 Days: An AI Integration Playbook for SMB Manufacturers
Most manufacturing AI initiatives die in the first quarter—not from bad technology, but from bad sequencing. This is the order of operations we use to get one workflow live, measured, and trusted inside 90 days.
Days 1–15
1. Map Reality, Not the Org Chart
Walk the actual workflow end-to-end with the people who run it. Time it. Count the handoffs.
Run a discreet shadow-AI discovery (see our Prompt Audit Checklist)—you're not starting from zero; you're starting from ungoverned.
Pick one workflow using two criteria: measurable pain and repeatable rules. Quoting, PO follow-up, and NCR documentation usually win.
Write down the baseline numbers now: turnaround time, backlog, error rate, hours/week.
Trap: starting with a steering committee instead of a stopwatch. If day 15 ends without baseline numbers, you're already in pilot purgatory.
Days 16–30
2. Set the Guardrails Before the Agent
Publish a one-page AI acceptable-use policy with a no-blame amnesty window (template available free from Blue Vector).
Decide the autonomy level: the agent drafts, a named human approves. Write the approver's name down.
Open your AI risk register with this first system in it—intended use, data inputs, risks, controls. This is ISO/IEC 42001:2023 groundwork, done when it's cheap.
Choose tools that log every action. If you can't audit it later, don't deploy it.
Trap: skipping governance because "it's just a pilot." The pilot's audit trail is what makes the production approval easy.
Days 31–60
3. Build With the Skeptic in the Room
Recruit the workflow's most respected skeptic as a co-designer. Their fingerprints on it are your adoption insurance.
Connect the agent to real systems (email, ERP export, shared drive)—a demo on fake data convinces no one.
Run agent output side-by-side with the human process for two weeks. Grade every output. Fix the prompt, not the person.
Define the go/no-go deploy criteria in writing before the trial ends.
Trap: polishing in private for weeks. Show rough output early to the people who'll use it; they'll tell you what actually matters.
Days 61–90
4. Deploy, Measure, and Say the Numbers Out Loud
Go live on the real workflow with the human-approval gate on.
Re-measure the baseline numbers at day 90. Put before/after in writing to leadership and to the floor.
Hold a 30-minute retro: what drifted, what got worked around, what the team wants next.
Only now pick workflow #2—funded by the evidence from #1.
Trap: declaring victory without publishing numbers. Unmeasured wins get re-litigated forever; measured ones buy you the next one.
The 90-Day Scorecard
You're on track if, at day 90, you can answer yes to all five:
One workflow is live in production with a named human approver.
Before/after numbers exist in writing.
An AI acceptable-use policy is published and a risk register is open.
Every agent action is logged and someone reviews the log.
The workflow's original skeptic would defend it in a meeting.