72% of companies have AI in production, but 56% of SME projects fail to go beyond the POC. The key: start with a real, measurable problem with available…
✅ Repetitive problem (at least 10h/week lost)
✅ Available and clean data (or easily cleanable)
✅ Measurable result (clear KPI before/after)
✅ Visible impact in <6 months
✅ Not 100% critical (tolerance for errors while learning)
❌ Avoid: missing data, single irreversible decision, high regulation without DPO
With a first high-value, low-risk use case measurable within a few weeks: document automation, customer service or writing assistance. The classic mistake is aiming too big from the start.
Around 56% of projects stall at the POC stage. The reasons: no quantified goal, unprepared data, and no plan to reach production from the outset.
No, not to begin. Many first projects rely on existing tools (proprietary models, RAG). The key early skill is business framing and governance, not model development.
Document copilot: ChatGPT Teams or Claude for Work for emails, proposals, reports. Cost: $20-30/month/user. Immediate productivity ROI.
Start: 1 weekFAQ chatbot: RAG on internal documentation + website. Reduces repetitive questions by 50-70%.
Start: 4-6 weeksAutomated invoice processing: Fast ROI, low risk, measurable. Saving: €8-15 per invoice.
Start: 6-10 weeksDemand/inventory forecasting: ML on ERP data. Stock reduction 15-25%, service rate improvement. ROI 6-12 months.
Start: 3-4 monthsMolderez Consult SRL co-builds your 18-month AI roadmap.
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