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Before individual applications can run properly, you need a clean foundation: an in-house language model that accesses your data, respects your access permissions and is operated in the EU. It is the shared knowledge base that connects individual applications and lets employees work with full context. Without this foundation, most use cases remain isolated solutions.
The ten use cases below are the ones that deliver most often in manufacturing companies. Behind them is my use case library with over 50 use cases, which I tailor to your company. And if the right solution is not among them, we will find it.
Every employee gets an assistant that knows your company, its processes and the relevant data. It takes over routine tasks: research, summaries, drafts.
1 to 3 hours saved per employee per day in knowledge and communication work
Tacit knowledge becomes accessible: technical documentation, process manuals, maintenance histories. All searchable and retrievable, without anyone having to dig through files by hand.
Less time spent searching, fewer knowledge silos. Especially important with skills shortages and staff turnover
Quotes, reports, minutes and specifications are created from structured input: consistently formatted, audit-proof, in a fraction of the time it used to take.
Quoting time from days to hours, higher quality through standardisation
Demand forecasts, capacity planning and sequence optimisation based on historical data, seasonality and market indicators, rather than solely on the experience of individual planners.
Reduce inventory by 15 to 25%, improve delivery reliability, halve planning effort
Customer data is enriched automatically, call notes are transcribed and analysed, follow-ups are prioritised. Sales works with better context in less time.
More time talking to customers, much better CRM data quality
Job adverts, application screening, interview preparation and onboarding documents are created with AI support. Consistent quality, faster hiring.
Fill open positions 30 to 50% faster, better selection through clear criteria
Supplier data, price histories, delivery reliability and risk indicators are evaluated continuously. Purchasing decisions rest on current data instead of outdated list prices.
Better terms, spot supplier risks earlier, less off-contract buying
Image-based detection of manufacturing defects, automated inspection reports and statistical process control. In real time, with a higher detection rate than visual inspection.
Cut the scrap rate by up to 50%, less rework and lower complaint costs
Machine data and sensor signals are analysed before problems arise. Maintenance happens when it is needed rather than by the calendar. Unplanned downtime drops measurably.
Cut unplanned downtime by 20 to 40%, optimise maintenance costs
Monthly reports, variance analyses and liquidity forecasts are generated automatically, with commentary in natural language and early warnings on critical figures.
Cut reporting effort by 60 to 80%, decisions based on same-day figures
30 minutes, free of charge. You get an honest assessment of where the biggest financial lever lies and which prerequisites are already in place.
Anna, my AI phone assistant, answers your questions before we talk. Any time.
Anna currently speaks German only.
Call AnnaOr write to me directly: office [at] mpdigital.at
Martin Posarnig on LinkedIn