AUTOMOTIVE

Engineering decision cockpit for a global Tier-1 automotive supplier

Engineers spend their time gathering data from PLM, ERP and supplier portals instead of engineering. Wexa designed a cockpit with three governed agents for change impact, product carbon footprint and parts reuse, on one context graph.

annual value, one pilot division, year 1 (estimate)
days per engineering change (target)
per product carbon footprint vs 2–6 weeks (target)
new part numbers (target)
CLIENT
Global Tier-1 automotive supplier
REGION
Europe
WHEN
2026
ENGAGEMENT
Solution design
WEXA COMPONENTS
Wexa · PLM, ERP and supply-network connectors · 3 governed agents · approvals · audit

01Case 39

The challenge

  • Engineering changes consume a third to a half of engineering capacity
  • Product carbon footprints take weeks and are now required by customers
  • Duplicate parts across PLM systems and ERP

What Wexa built

  • Change-impact agent: traces assemblies, plants, stock and orders; checks engineering vs manufacturing BOM; prices the change; drafts the change-board brief
  • Carbon-footprint agent: maps the BOM to emission factors per the industry rulebook; hotspots and lower-CO₂ options; sign-off by the footprint lead
  • Parts-reuse agent: finds look-alikes across PLM and ERP and ranks duplicates by spend and stock
  • Starts read-only; approval and audit on every write; EU cloud or on-premise; 12-month gated programme

02Case 39

How it runs on Wexa

03Case 39

Results

MeasureBefore / without WexaWith Wexa

Engineering cost of change impact, footprints and parts search (one division)

$9M a year

$4.5M a year

Annual cost of the process

$9M

$4.5M

Days per engineering change

17

9–10

Time to implement the AI solution

9 months

16 weeks

AI build cost (one-time)

$1.2M

$177K

AI operating cost per year (models, infrastructure, upkeep, platform)

$704K

$336K

Total AI cost in year 1

$1.9M

$513K

Value figures are planning estimates from industry benchmarks, to be re-baselined in a four-week discovery phase.

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