900+
hours recovered across Yamaha and Etihad deployments
Patent-pending · Indian Patent Office 2026 · Copyright LD-14934/2026-CO
The Governance Framework Built for the AI-Augmented Enterprise
Enterprises are trapped in Pilot Purgatory — AI capability is racing ahead while governance, methodology, and adoption infrastructure remain frozen. AEVA is the infrastructure designed to close that gap.
14
original IP contributions across four dimensions
88%
per-project cost reduction in financial model
THE PROBLEM
Enterprises are not failing at AI because the technology is insufficient
They are failing at the specific, repeatable transition from pilot to production — because the governance, methodology, and team architecture required to productionise AI capability do not exist in most organisations.
🔄
Pilot Purgatory
AI initiatives proliferate at the pilot stage — funded, celebrated, announced — but fail consistently at the transition to production. Not because the technology is insufficient. Because the governance infrastructure does not exist.
⚠️
Shadow AI Proliferation
Employees adopt AI tools outside sanctioned channels before governance exists. No visibility, no risk assessment, no audit trail. Directly observed at Yamaha Motor Solutions — across 5 departments simultaneously.
📐
Broken Agile Assumptions
Story points assume human effort as the production variable. Sprint cadences assume human velocity as the constraint. None of these assumptions hold in an AI-augmented delivery environment. Every ceremony requires structural rethinking.
AEVA provides the governance infrastructure. The methodology. The team architecture. All three — simultaneously.
THE FRAMEWORK
Four dimensions. Fourteen original IP contributions.
01
Ceremony Restructuring
Six core Agile ceremonies evolved into AI-era equivalents — each with an original name. DataRetro. Precision Backlog Refinement. Increment Planning. Pulse Sync. Increment Governance Review. Feature Clearance.
02
Lean AI-Era Team Structure
Role evolution map for every Agile role. Four newly defined roles not existing in any prior framework. Junior-senior hierarchy inversion. Approximately 40% headcount reduction at equivalent output.
03
Velocity Recalibration and Financial Model
Decision Complexity Index — a 16-point scoring system replacing story points. DCI Governance Shield preventing gaming. 88% per-project cost reduction. Up to 12 projects per year where traditional teams deliver 2.
04
Five Transition Risks
The predictable failure patterns that destroy AI adoption programmes before production scale. Governance Lag. Governance Drag. Shadow AI Proliferation. The Identity Crisis. Strategic Blindness. Each named, defined, and mitigated.
DEPLOYMENT EVIDENCE
AEVA in production environments
MANUFACTURING
Yamaha Motor Solutions India — 2025
Situation
Shadow AI proliferation detected across 5 departments before any policy existed. Employees using unsanctioned AI tools on uncleared data with no governance, no visibility, no audit trail.
Result: 400+ hours of delivery capacity recovered. First live AEVA deployment. AI tool registry built from zero. 5 departments brought under governance framework.
Ceremony Restructuring · Shadow AI Proliferation Mitigation
AVIATION
Etihad Airways + Dubai Airports
Situation
200+ person aviation transformation programme. Agentic delivery workflows introduced mid-programme. No governance alignment layer. Multiple organisations, different risk appetites.
Result: 500+ hours recovered through structured governance. Delivery portfolio achieving 108% revenue growth. Programme value exceeding USD 90 million.
Financial Model · Identity Crisis Mitigation
Is your organisation still running AI pilots that never reach production?
Pilot Purgatory is not a technology problem. It is a governance infrastructure problem — and governance infrastructure can be built. 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 · Patent Pending IPO 2026