Automotive industry · Automotive supplier
How an equipment manufacturer strengthened its supplier compliance by reducing the cost of manual analysis of specifications by around €150,000/year.
First AI project of the group: equipment manufacturer collaborating with numerous manufacturers. Nexa Forward has built a pipeline for extracting customer requirements, reconciling them with internal procedures and scoring compliance with integrated human validation.
Indicators and metadata
150,000 €/year
Avoided manual analysis cost (estimate)
80/100
Customer score at the demo (estimate)
100 %
Analyzed requirements (vs. manual omissions)
Métadonnées
| Organization | Automotive supplier |
|---|---|
| Sector | Industry & automotive |
| Perimeter | Quality management |
| Solution | ECD Extraction & Document Compliance |
| Status | In recipe |
| Deployment | On-premise (containers on VM) |
Evidence Panel operational reading
Built-in proof surface: every deliverable ties to source, date, and validation status before an Audit Pack export.
The Evidence Panel complements the technical Run Receipt: it makes the justification readable for a sponsor or reviewer without AI jargon. Audit Pack export keeps the same chain of trust.
THE OPPORTUNITY
The company must systematically analyze customer specifications, specifications and standards to verify the conformity of its internal procedures.
Before Nexa
- Estimated annual budget ~150,000 € for manual analysis
- Non-compliances linked to the absence of systematic analysis of all documents
- Time-consuming process and prone to omissions (long, multilingual documents)
- Compliance arbitrations difficult to defend over time
- Recurring load of supplier questionnaires and audits
THE SOLUTION
Extraction and compliance pipeline
A seven-step pipeline: multi-format and multilingual analysis, extraction of requirements (including “drawer”), vector indexing of internal procedures, multi-approach semantic reconciliation (RAG, keywords, heuristics), scoring and categorization, generation of justification comments, HITL validation before export.
Nexa components in scope
| Component | Role in the ritual |
|---|---|
| Arbitration algorithm | RAG orchestration + keywords + heuristics for reconciliation |
| Evidence Panel | Confidence score, close sources, lineage by requirement |
| HITL | Quality validation before export |
| AI Knowledge Vault | Validated compliance patterns reusable from one program to another |
| Audit Pack | Standardized export usable by auditors |
Deployment architecture
- On-premise recommended (Docker on VM)
- Business databases and metadata according to client architecture
- EDM connectors (API, SFTP, SharePoint)
THE IMPACT
| Value axis | Concrete impact |
|---|---|
| Compliance | Systematic analysis of requirements reduction of omissions |
| Productivity | Significant reduction in annual cost linked to manual analysis |
| Quality | Customer score estimated at 80/100 from the first demonstration (example: several dozen requirements extracted from a complex file) |
| Scalability | Growing volume of documents without proportional increase in staff |
| Foundation | First AI project of the group: infrastructure, governance and base for the following rituals |
Estimated score 80/100 from the demonstration; confidence to converge in a few more iterations.
Five-act narrative
Read the full narrative
Act 1 The incident
A voluminous specification arrives: identify each requirement, compare it to the procedures, produce a summary under a tight deadline, already knowing that complete coverage by hand is illusory. A “drawer” requirement had already been omitted; the customer had noted the non-compliance.
Act 2 The visible debt
A costly process that does not guarantee complete coverage. Long and multilingual documents; every omission is a risk. Arbitrations are not documented in front of an auditor, the response is more memory than proof.
Act 3 The seesaw
The pipeline parses the document, extracts the requirements (including the “drawers”), reconciles the procedures with confidence score. The Evidence Panel shows the lineage. Quality validates via HITL. The Audit Pack exports the summary in internal format.
Act 4 The proof
Coverage of requirements, visible scores, Vault which capitalizes the patterns the marginal cost of the following file decreases.
Act 5 The remaining question
Your last specifications generated how many requirements and how many are compared to your procedures with a documented score and an auditable export?