Find past fault fixes
How was this fault fixed last time? AIPE searches incident reports and maintenance records and cites the passage.
Learn moreIndustry
Shop floor meets knowledge graph.
Connect ERP, MES and tribal knowledge so operations, quality and service all run off the same real-time model.
Sound familiar?
Defects without a cause
Quality KPIs are red. But why? The answer lives across three systems that don't talk to each other.
Shift handover = knowledge lost
What the early shift noticed never reaches the late shift. Decision-relevant knowledge evaporates daily.
Key people as bottleneck
Mr. Smith knows how the line really runs. Mr. Smith is 57. What then?
Uncontrolled AI shadow IT
Employees use ChatGPT with production data. Leadership knows — and looks away. For now.
How AIPE solves it
ERP + MES + documents — one knowledge graph
AIPE weaves your system landscape into a searchable, context-aware knowledge network. Every answer cites real sources.
AI agents for quality & maintenance
Automatic KPI monitoring, root-cause analysis, maintenance interval tracking — without manual reports.
Controlled access, less shadow IT
Organization-scoped RBAC governs production-data access. Selected model providers receive relevant request data.
Preserve hands-on knowledge from production and maintenance.
In many manufacturing companies, the most valuable knowledge is not in the ERP but in shift logs, inspection instructions, maintenance records and the heads of long-serving employees. When a key person retires or the shift changes, part of it is lost – and the same mistakes happen again.
AIPE makes this knowledge usable for the long term. Work and inspection instructions, incident reports and machine documentation are stored in files and the wiki and linked in the knowledge graph. Employees ask in chat or by voice and get answers with sources. For production and office computers running older specialist applications, the AIPE Worker takes over recurring tasks directly on the device.
Use cases
Use cases in production, quality and maintenance
Structure shift handovers
Summarize the shift's notes in chat and save them as a wiki page – the next shift asks instead of searching.
Learn moreAnalyze quality data
On the computer, the Worker combines exports from different systems into an Excel analysis you download in chat.
Learn moreOperate older specialist applications
For software without an API, the Worker operates mouse and keyboard step by step – with your approval in “Ask first” mode.
Learn moreAgent for inspection instructions
An agent with your inspection and work instructions answers questions at the workstation and helps with onboarding.
Learn moreCapture experience in conversation
Record interviews with experienced colleagues, get a transcript and summary, and turn them into wiki pages.
Learn moreWorkflow
A recurring fault – before and after
- Step 1
Fault occurs
TodayThe shift calls the experienced colleague – if he can be reached.
With AIPEQuestion in chat; AIPE finds earlier reports on the same fault pattern.
- Step 2
Narrow down the cause
TodayPaper logs and binders are searched.
With AIPEKnowledge graph and wiki show related machines, parts and measures.
- Step 3
Document the fix
TodayAn entry in the shift log, often incomplete.
With AIPEA short note in chat; AIPE turns it into a structured report in the wiki.
- Step 4
Pass on the knowledge
TodayThe knowledge stays with the person who fixed the fault.
With AIPEThe next case finds the solution through search and the graph – even on another shift.
Data protection & control
Controlled AI use instead of shadow IT
When employees use personal AI tools, you lose control over design and process data. AIPE provides a shared platform with per-resource permissions, configurable model providers and usage analytics.
- Roles and sharing per file, agent, wiki page and chat.
- Worker tasks only after local enablement on the computer; can be switched off at any time.
- Usage by person, cost center and function, monthly budgets with alerts.
- Data processing agreement (DPA) online, subprocessors listed transparently.
Relevant connectors
For ERP or MES systems without a dedicated connector, work with exports via the Worker or import documents and knowledge via API and MCP.
See all connectorsFrom practice
Mid-sized machine builder
A machine builder struggled with manual shift reports, quality data in three systems and knowledge lost to retirements. The case study shows how AIPE was introduced there.
Read the case studyMeasurable results
–60%
Time spent on shift reports and manual KPI aggregation
+40%
Faster response to quality deviations
0
Dependence on single knowledge holders
„We had all the data — in SAP, in MES, in Excel. But nobody had the answers. AIPE changed that."
How much plant knowledge still lives in people's heads?
Three questions about ERP, team and your biggest bottleneck. Then you see where AIPE helps your production first.
Manufacturing checkQuestion 1 of 3
Anonymous, no emailabout 60 seconds
Your production runs. Your knowledge too.
30-minute live demo. No commitment. We'll show you AIPE through real manufacturing use cases.