Explore the Framework
Five pillars, one compounding system
Each layer amplifies the next — precision compounding at every stage of the lifecycle. Open a pillar to see how it works, what it looks like in practice, and how it’s read through the AADV™ metric.
Precision-Led
Eliminate ambiguity before it reaches the team.
Read the pillar →AI-Augmented
AI as a delivery partner, not a tool bolted on.
Read the pillar →Transformational
Incremental delivery, transformational intent — never separate.
Read the pillar →Execution
Strategy is nothing without rhythm.
Read the pillar →Lifecycle
From discovery to hypercare — one coherent system.
Read the pillar →Where PATEL Takes You
From traditional delivery to autonomous delivery
PATEL isn’t a one-time adoption — it’s a maturity path. Teams move through these stages as AI augmentation deepens, governance keeps pace, and trust in AI-driven decisions is earned one delivery cycle at a time.
Traditional Delivery
Manual planning, estimation, and review. AI is absent or used ad hoc, outside the delivery system.
AI-Augmented Delivery
AI is embedded into planning, coding, testing, and reporting — assisting the team inside existing ceremonies.
Agentic Software Development
Agents take on bounded, governed tasks end-to-end, with humans reviewing outcomes and exceptions.
Autonomous Enterprise Delivery
Multi-agent systems run coordinated delivery workflows under continuous governance, quality, and compliance controls.
The Measurement System
AADV™ — AI-Adjusted Delivery Velocity
Traditional velocity counts story points completed. AADV™ goes a layer deeper — a directional read on how much of a team’s delivery speed comes from genuine AI augmentation versus headcount and hours, tracked continuously across the PATEL lifecycle rather than measured once at sprint’s end.
It isn’t meant to replace your existing velocity or throughput metrics — it sits alongside them, giving delivery leaders a lens on whether AI-augmented practices are actually compounding, or just adding noise to the same old pace.
