AVIATION · MAINTENANCE AND ENGINEERING
An airline reliability programme product, built by a partner on Wexa
Smaller airlines cannot afford reliability engineers, and their data is spread across maintenance, tech-log, delay and stores systems. A partner is building a reliability service on Wexa that runs the full loop from defect to costed action, installed in each airline's own cloud account.
- agents from ingest to monthly report
- Wexa installation in the airline's own account
- release tickets and 30 acceptance criteria
- release-1 target
- CLIENT
- Aviation-software partner building a reliability service for airlines
- REGION
- Australia / global
- WHEN
- 2026
- ENGAGEMENT
- Solution design
- WEXA COMPONENTS
- Wexa per airline · 8 agents · context graph · knowledge base · marketplace delivery
01Case 41
The challenge
- Reliability reviewed one source at a time
- Programmes stop at compliance reporting
- Findings rarely become costed actions
What Wexa built
- Pipeline: ingest → tech-log coding to ATA chapters → deterministic metrics → alerts and trends → correlation → review → human decision → effectiveness check → report
- Rules: models classify and draft, they never calculate; agents recommend, people decide
- Graph: aircraft, parts, serials, stations, ATA chapters, defects, removals, delays, findings, actions
- Per-agent switches and daily spend caps; every call logged with tokens, cost and trace id
02Case 41
How it runs on Wexa
03Case 41
Results
| Measure | Before / without Wexa | With Wexa |
|---|---|---|
Reliability engineers per airline | 4 engineers | 1.5 engineers |
Annual cost of the process | $440K | $165K |
Time to implement the AI solution | 6 months | 10 weeks |
AI build cost (one-time) | $480K | $74K |
AI operating cost per year (models, infrastructure, upkeep, platform) | $312K | $166K |
Total AI cost in year 1 | $792K | $240K |
With Wexa
net annual value to the client after Wexa's own operating cost
faster to implement
lower AI operating cost
less AI spend in year 1
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