The situation
Past programs contained useful requirements, decisions, and verification material, but conventional search exposed only a fraction of it. A semantic retrieval workflow prepared relevant candidates for expert comparison and reuse.
Use case · Knowledge reuse
Semantic search for engineering reuse
Help engineers find related work even when projects use different words, structures, or identifiers.
- Sector
- Automotive engineering
- Starting point
- Representative engineering workflow
- Evaluation context
- Representative inputs and agreed acceptance criteria
The central constraint
The workflow reaches its limit when important context, review ownership, and acceptance criteria are not handled together.
The evaluation goal
A bounded pilot should determine whether the proposed workflow creates clearer, reviewable starting points without bypassing expert approval.
The challenge
Three conditions that limit the existing workflow
The evaluation must consider more than one isolated task. The important question is how inputs, context, ownership, and engineering decisions work together.
Equivalent concepts used different project vocabulary.
Knowledge was distributed across tools and archives.
Uncertain provenance made reuse difficult to approve.
The proposed workflow
Four prepared steps, one controlled decision
Each stage produces a candidate, context, or review signal. Scope, rules, and target actions remain part of the agreed evaluation.
Express the engineering need
Search with a question, concept, or selected artifact as context.
Retrieve related candidates
Compare meaning across the approved collection, not exact wording alone.
Inspect source and fit
Show enough provenance for an engineer to assess relevance.
Reuse or adapt deliberately
Record whether an item is adopted, changed, or rejected for the new context.
Nothing prepared by this workflow becomes an approved engineering record on its own. Accountable experts review, correct, and approve every result.
See governed assistanceThe evaluation outcome
A clearer starting point—and evidence for the next decision
More discoverable engineering knowledge.
Faster comparison before teams recreate work.
A clearer basis for governed reuse decisions.
Evaluation pilot
Start with representative examples and explicit acceptance criteria
Agree the scope, sources, roles, and required evidence before the evaluation begins.
- Question to resolve
Which sources form the trusted search collection?
- Question to resolve
How should relevance and provenance be displayed?
- Question to resolve
What review is required before reuse in a new program?
Could this approach fit your engineering context?
Bring representative inputs, target systems, review roles, and acceptance criteria. Together, we can define a controlled evaluation scope.