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Lean & Execution

AI That Ships: 90 Days to Real Wins on the Shopfloor

Julian Zur-Lienen||4 min read
AI That Ships: 90 Days to Real Wins on the Shopfloor

AI presentations promise a new factory. Your team just wants fewer handoffs, faster answers, and less rework.

Most pilots stall long before they touch the line. The issue is scope, data, and adoption wrapped into one slow decision loop. Good news. You can get real value fast with an evolutionary approach that respects how your plant actually runs.

Why big swings stall on the shopfloor

Scope creep. Ambitions jump from a useful assistant to full automation. That multiplies integrations, approvals, and failure modes.

Data surprise. Demo data is clean. Your ERP, MES, QMS, and file shares are not. Inconsistent part numbers, variant BOMs, and tribal naming stop models cold.

Workflow friction. New portals and parallel systems kill adoption. Operators and planners will not switch tools for a maybe.

Decision latency. Legal, IT, and operations review get stuck. Long programs carry more risk, so they wait. That slows everything.

Pick lower branches first

Start where AI can sit inside work that already happens and remove friction.

  • Find the right document now. A retrieval assistant that searches SOPs, drawings, NC records, and emails. One query. Ranked answers with sources.
  • Faster quality triage. Summarise nonconformances, suggest likely causes, and surface similar past fixes with links.
  • Maintenance prep. Pull the right manual page, BOM, and last three breakdown notes for the asset on the ticket.
  • Planning support. Generate a first-cut schedule from orders, constraints, and changeovers. The planner still decides.
  • Supplier comms. Draft RFQs and compare quotes against specs. Flag gaps before release.

Each of these delivers minutes saved every hour. That compounds.

Treat data like a product

You do not need perfect data. You do need predictable data.

  • Name things once. Pick a source of truth for materials, assets, and customers. Map the rest to it.
  • Store the work where people can find it. Centralise current SOPs, drawings, and templates. Kill duplicates.
  • Log events. Capture approvals, changeovers, downtimes, and NC closures with timestamps and IDs.
  • Add light structure as you go. Tags for product family, line, customer. Enough to filter, not a new taxonomy project.

That is a four-week discipline, not a year-long transformation.

Sovereignty speeds approvals

Many pilots die in legal review. The concern is simple. Sensitive production data and customer IP must remain under European jurisdiction and control. A foreign vendor hosting in an EU data center does not guarantee that. Under foreign laws like the CLOUD Act, authorities can still compel access.

Choose an EU-only stack operated by an EU company. Keep data inside EU law end to end. That reduces legal risk, shortens procurement, and builds trust with customers who ask hard questions about IP and compliance. For us at EUnexia, this is non-negotiable.

A 90-day playbook

Weeks 1–2. Pick one workflow and one team. Agree on a single success metric. Examples: time to find the right spec, first-pass yield on document-driven tasks, planner time per schedule. Inventory sources. Decide the system of record. Set access rules.

Weeks 3–6. Stand up a retrieval layer over your live docs and systems. Configure, do not build. Wire to ERP and file shares read-only. Pilot with 5–10 users inside their current tools. No new portal. Capture feedback daily. Fix naming, add missing docs, tighten prompts.

Weeks 7–12. Extend to a second use case next to the first. Quality triage or maintenance prep works well. Train 30 users. Publish the metric weekly. Celebrate saved minutes and avoided errors. Write down what broke and how you fixed it. That becomes your internal standard.

What to measure. Search success rate. Time to answer. Number of rework loops avoided. User adoption. If users keep it open all day, you are winning.

Buy, then tailor

Resist custom builds. Use proven components, then tune to your process and vocabulary. Spend your energy on data clarity, shopfloor fit, and change management. That is where the risk lives and where the value shows up.

The payoff

Small wins change behaviour. Behaviour change lifts flow. Better flow funds the next step. In a few months you will have cleaner data, faster decisions, and a team that asks for the next capability instead of ducking another tool.

Evolution beats big-bang every time in a real factory. It is cheaper, safer, and faster. More important, it actually ships.

Want help designing a 90-day AI sprint with EU-only data sovereignty baked in? Talk to EUnexia.

Sources

  • 80-ai-evolution-revolution-implementation-reality.md