Product and Engineering Knowledge Application
Let engineers ask questions of specifications, change history and past deviations in language, with citations back to the source document.
The decision it supports
What do we already know about this product, process or change before we decide again?
What changes
Less rediscovery, faster onboarding and fewer changes made without the relevant history.
Data domains
- Product and engineering
- Quality
- Production
Interactive preview
Product and Engineering Knowledge Application is described here as an opportunity rather than shown as a working demonstration. The interactive build for this industry is Production Exception Manager — it uses the same primitives, the same governed data model and the same decision-to-action pattern this application would.
We build one flagship per industry properly rather than four shallow ones. The pattern transfers.
The workflow
- 01Specifications, change records and deviation history are indexed with their access rules
- 02An engineer asks a question in normal language
- 03The answer is assembled with citations to the underlying documents
- 04Related changes and past deviations are offered as context
- 05The engineer records a decision that becomes part of the record
Platform capabilities most relevant here
OneLake
One governed copy of enterprise data that analytics, AI and applications can all build on.
AI functions
Apply language models to business data as a normal part of a data pipeline.
Fabric data agents
Let people ask questions of governed data in their own words, with the same permissions.
Microsoft Entra identity
People see exactly the data they are entitled to see, in the application as well as the report.
Workspace and data governance
Move quickly without losing control of who can see and change what.
Not every application needs every capability. This is the subset that this decision actually depends on.
Talk about building this