900+
hours recovered across deployments
PATENT-PENDING · INDIAN PATENT OFFICE 2026
AEVA was developed from first-hand observation of AI failure modes in live enterprise PMOs — Shadow AI proliferation, agentic workflow risk, and the alignment breakdown that happens when AI tools outpace policy.
900+
hours recovered across deployments
5
departments governed in first deployment
THE PROBLEM
⚠️
Employees adopt AI tools outside sanctioned channels. No visibility, no risk assessment, no audit trail. It spreads before anyone has named it.
🔀
AI agents make decisions autonomously across systems. Without a governance layer, no one knows what decisions were made, by whom, or why.
📉
AI policies exist on paper. Delivery teams ignore them under pressure. The gap between what is written and what is practiced grows with every sprint.
AEVA was built to close all three gaps — simultaneously.
THE FRAMEWORK
A
Embeds governance into existing agile ceremonies without slowing delivery.
E
Maps every AI tool in use — sanctioned and unsanctioned — across the organisation.
V
Governance designed to add structure without adding friction.
A
Connects AI tool usage to strategy, risk appetite, and regulatory requirements.
DEPLOYMENT EVIDENCE
MANUFACTURING
Shadow AI proliferation detected across 5 departments before any policy existed.
Result: 400+ hours recovered. AI tool usage governed. Risk register implemented.
Enterprise AI Visibility · Agile Governance Layer
AVIATION
Agentic delivery workflows across a 200+ person programme with no governance alignment.
Result: 500+ hours recovered. Cross-functional alignment achieved.
Alignment Architecture · Velocity Preservation
AEVA has been deployed at enterprise scale across manufacturing and aviation. If you are building or hiring for an AI governance function, I would like to hear from you.
Agam Agrawwal · Founder, ChisokuLab · Creator of AEVA Framework