DEPLOYMENT EVIDENCE

AEVA in Production

Two enterprise deployments. Real problems. Measurable outcomes.

Manufacturing

Yamaha Motor Solutions India

2025

Shadow AI proliferation across 5 departments. No policy. Tools accessing sensitive data without security review.

Challenge: Govern without destroying velocity in a 300-person operation.

Enterprise AI Visibility · Agile Governance Layer

- Introduced AI risk reviews into sprint retrospectives across teams.
- Built a live AI tool inventory with ownership and risk tiers.
- Established fast governance pathways to reduce unsanctioned tool usage.

400+

hours of delivery capacity recovered

unsanctioned AI tools identified and governed in first sprint

departments brought under governance

AI tool registry built from zero

Shadow AI is not a technology problem. It is a governance vacuum. The moment you create a clear, fast, low-friction path to sanctioned AI use — adoption of unsanctioned tools drops immediately.

Aviation

Etihad Airways · Dubai Airports

2023-2024

200+ person aviation transformation programme. Agentic delivery workflows introduced mid-programme. No governance alignment layer.

Challenge: Governance across two organisations with different risk appetites and regulatory complexity.

Alignment Architecture · Velocity Preservation

- Created a shared AI governance model across both organisations.
- Mapped AI usage decisions to risk and compliance requirements.
- Added velocity-friendly approval pathways to reduce governance drag.

500+

hours recovered through structured governance

200+

person programme under alignment framework

organisations aligned to single governance model

regulatory frameworks mapped

In multi-organisation programmes, governance is the contract between parties. AEVA's Alignment Architecture gave both organisations a shared language for AI risk — without requiring either to change their internal policies.

Want to understand how AEVA would apply to your organisation?

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