Tools for organisations adopting AI-DLC.
A full stack of vocabulary, readiness, business case, transition-planning, and governance frameworks for CTOs, VPs of Engineering, and transformation leads navigating the shift to AI-driven software development.
What’s available now.
Ten tools and two bundles, organised into five categories, plus two free resources — the Dictionary of Terms and the Context Pack Builder skill — covering the full AI-DLC decision arc from vocabulary and readiness through business case, transition planning, and ongoing governance and risk.
Foundation & Assessment
AI-DLC Dictionary of Terms
The vocabulary, resolved — AI-DLC vs. ADLC vs. ASD vs. ADS vs. AI-Native SDLC. No sign-up required.
Download Free →AI-DLC Adoption Readiness Assessment
25 criteria, 5 dimensions. A weighted Readiness Score and an Adoption Path — before a pilot team or budget is committed.
View Framework →Business Case & Portfolio
AI-DLC ROI & Business Case Model
Payback, Year-1 ROI, and multi-year NPV built from this organisation’s own delivery economics, not a borrowed case study.
View Framework →Pilot Selection & Portfolio Segmentation
Score up to 12 candidates across six dimensions. A ranked shortlist, a Wave assignment, and a mission-critical hard gate.
View Framework →Operating Model & Transition
Context Engineering Playbook
11 sections on building the context artefacts every AI-DLC Bolt depends on — written once, used as a standing reference. Paired with the free Context Pack Builder skill.
View Playbook →AI-DLC Context Pack Builder
A free agent skill that assembles one Bolt’s Context Pack and won’t hand it over until it passes a pass/fail quality gate. Plain markdown, open source on GitHub.
Get the Free Skill →·GitHub →SAFe / Agile / Waterfall → AI-DLC Transition Playbook
Three mapping tables, a four-phase roadmap, four failure modes, and a 90-day checklist — nothing quietly left behind.
View Playbook →Role Transition & Org Design Guide
Eight roles, mapped before and after — what changes, what grows, what doesn’t. No euphemisms.
View Guide →Governance & Risk
RACI & Governance Gate Design Template
12 pre-seeded activities scored RACI, then classified Hard, Soft, or Autonomous gate — with an enforced exactly-one-Accountable rule.
View Template →Risk & Compliance Register
20 pre-seeded risks across four categories, scored Inherent and Residual — the operational risk surface AI-DLC delivery itself creates.
View Register →Governance & Metrics Dashboard
11 indicators, a Delivery Health Score, and a Ritual Discipline Flag that catches methodology drift before it shows up in defect counts.
View Dashboard →Maturity Model & Benchmarking Tool
24 criteria, six dimensions, CMMI-style levels. A Weakest-Link Flag and an 8-team benchmark comparison, quarterly.
View Diagnostic →Bundles
AI-DLC Starter Kit
The Dictionary, the Adoption Readiness Assessment, and the ROI & Business Case Model — the starting point for an AI-DLC adoption. $99 instead of $118 bought separately.
View Starter Kit →AI-DLC Transformation Kit
The Transition Playbook, the Context Engineering Playbook, and the Role Transition & Org Design Guide — the complete transition reference. $117 instead of $147 bought separately.
View Transformation Kit →Five dimensions. Twenty-five criteria. One evidence-based adoption decision.
The assessment scores readiness across five dimensions using configurable weights. For Brownfield and Regulated-Core programmes, Technical and Governance weights auto-adjust upward — because foundations matter more before adoption proceeds in legacy or regulated environments.
What is AI-DLC, and how does it differ from ADLC, ASD, and ADS?
Five terms in this space are routinely confused. None are interchangeable. Each comes from a different organisation and describes a different scope. Download the free Dictionary for the full 22-term reference — these are the five that matter most before your first meeting.
Built for the people who have to make the adoption decision defensible.
Assess whether your organisation is actually ready to commit to AI-DLC before the first pilot Unit of Work is scoped — with evidence, not optimism.
Understand the vocabulary before the vendor arrives. Know which readiness gaps to close before a pilot is funded. Navigate the transition from Agile/SAFe using the cross-mapping.
Run a structured AI-DLC readiness assessment or transition plan with any client in a single session — grounded in primary sources, not vendor marketing.