Book — 9 chapters
The LegacyForward Framework — Revised
Pillar 1: Signal Capture
Signal Capture: Finding Net New Value
The core question every AI initiative must answer before a dollar is spent — and the transformation-versus-automation distinction that most organizations get wrong.
Signal Capture: The Value Assessment Framework
The three-stage framework for evaluating, validating, and tracking value — and the anti-patterns that destroy AI portfolios before anyone notices.
Pillar 2: Grounded Delivery
Grounded Delivery: The Five Phases
Why Agile breaks for AI — and the five-phase delivery methodology built for systems whose outputs cannot be predicted with certainty.
Grounded Delivery: Anti-Patterns
The five delivery anti-patterns that cause AI systems to fail in production — and the key questions to ask at every phase gate before it is too late.
Pillar 3: Legacy Coexistence
Legacy Coexistence: The Five Patterns
Five architectural patterns for deploying AI alongside the enterprise systems that will not be replaced — starting from the premise that most AI strategies ignore.
Legacy Coexistence: Data Challenges and Anti-Patterns
The data challenges endemic to legacy environments and the anti-patterns that cause AI integration to fail in production even when the coexistence pattern was chosen correctly.
The Complete Framework
How the Pillars Connect: Feedback Loop and Core Principles
How Signal Capture, Grounded Delivery, and Legacy Coexistence form a closed feedback loop — and the six principles that underpin everything.
Quick Reference
The LegacyForward.ai framework at a glance — summary tables for Signal Capture, Grounded Delivery, Legacy Coexistence, and Core Principles.