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Implementing AI in SMEs: A 90-Day Playbook for Machinery Manufacturers

Is mid-market AI really doable in 90 days?

Yes. With a clear use case, a clean data audit and a platform that ships pre-built skills, a productive agent lands in 12–13 weeks. Genow's customers like MinebeaMitsumi, KION and Bürkle prove this is operational reality, not a lab promise.

Week 1–2: fix the use case

Start with one lead use case, not a platform debate. Rubric: pain in the business unit, availability of valid data, measurability, executive sponsorship. Output of this phase: a one-page scope, three to five KPIs, two named business owners.

Week 3–4: data audit

Which sources do I need? In what shape are they? Who has access? Rights model, data quality, API availability. Aim is not a full master-data programme but a pragmatic 3–6 sources that carry the use case.

Week 5–7: build

Integration, first indexing, retrieval benchmark, prompt and skill design with two to three senior users. End of phase: an internal agent at ≥85% precision against a gold benchmark.

Week 8–10: pilot

10–20 real users run the agent in their day job. Daily quality loops, error triage, growing test suite. KPI measurement in parallel.

Week 11–13: scale

Roll-out to the target audience, training, operations hand-over, governance integration, first success review with the executive sponsor.

Use-case scorecard (XLSX download)

The companion scorecard ranks candidate use cases by impact, feasibility, data readiness, time-to-value and ROI estimate. Use it as the shared language of the buying center.

Lessons from MinebeaMitsumi, KION and Bürkle

A week-2 data audit prevents later schedule slips.

Senior users in build drive adoption more than any roll-out training.

Define KPIs before the first prompt, or you lose political air cover.

FAQ

Do we need an in-house AI team?

No. A business sponsor, an IT lead and an implementation partner are enough.

What does it cost?

Pricing depends on the scope of the project, data sources, and integrations. We provide customized quotes for enterprise setups. Paying back within 12 months for most customers.

Does it scale to further use cases?

Yes. Second and third agents typically land in 4–8 weeks thanks to reusable platform primitives.

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