A governance framework is only as good as its deployment evidence. Here is what AEVA does, how it does it, and what it has achieved in production environments.
A
Agile Governance Layer
Problem
Governance frameworks fail when they live outside the delivery workflow. Teams under pressure skip compliance steps.
How it works
- Embeds a 15-minute AI Risk Review into every sprint retrospective
- Adds AI tool assessment as a standing item in sprint planning
- Creates a lightweight risk token system — each new AI tool requires a token before use
- Produces an automatic audit trail from existing agile ceremonies with no extra overhead
In practice
At Yamaha, the first retrospective with the AEVA AI Risk Review revealed 7 unsanctioned tools in active use across 2 teams.
Connects to
Enterprise AI Visibility · Alignment Architecture
E
Enterprise AI Visibility
Problem
You cannot govern what you cannot see. Most enterprises have no inventory of AI tools in use.
How it works
- Deploys a lightweight AI tool declaration process — form-based, not bureaucratic
- Builds a live AI tool registry: name, purpose, data access, risk tier, owner
- Classifies each tool: Sanctioned / Under Review / Unsanctioned
- Triggers automatic review workflow for any Unsanctioned classification
In practice
At Yamaha, the first AI tool inventory revealed tools accessing customer data without any security review. Two were immediately suspended.
Connects to
Agile Governance Layer · Alignment Architecture
V
Velocity Preservation
Problem
Governance that slows teams down gets bypassed. The fastest way to create Shadow AI is to make sanctioned AI usage too slow.
How it works
- Pre-approves entire categories of low-risk tools — teams do not wait for individual approvals
- Creates a fast lane declaration process — low-risk tools approved within 24 hours
- Separates governance overhead from delivery overhead
- Measures governance overhead per sprint and actively reduces it
In practice
At Etihad, official AI procurement took 6 weeks. AEVA's fast lane reduced approval to 48 hours for low-risk tools — Shadow AI adoption dropped immediately.
Connects to
All dimensions — velocity is the design constraint that shapes everything
A
Alignment Architecture
Problem
AI tool decisions made at team level are invisible at board level. Risk accumulates without anyone having a complete picture.
How it works
- Produces a monthly AI Governance Dashboard — board-ready, one page
- Maps every AI tool to the organisation's risk appetite framework
- Connects tool usage data to regulatory requirements (DPDP, GDPR, ISO 42001)
- Creates escalation triggers — when risk threshold is crossed, governance lead is notified automatically
In practice
At Yamaha, the first AEVA Alignment Architecture output was a one-page board summary showing AI tool risk exposure across 5 departments — the first time leadership had seen the complete picture.
Connects to
Enterprise AI Visibility · Agile Governance Layer
IP and Credentials
Provisional Patent Pending
Filed with Indian Patent Office, 2026
Copyright Registration
Diary No. LD-14934/2026-CO. Registered under Agam Agrawwal, 2026
Live Deployment
AEVA has been deployed in production enterprise environments across manufacturing and aviation