Adoption & Scaling
6,298 real tests. 104K lines of mock theater deleted. SOC2 + APRA CPS 234 alignment. Zero testing theater.
“For every $1 you spend on developing a digital solution, plan to spend at least another $1 (and sometimes more) to ensure full adoption and scaling. That additional $1 will go toward implementing process changes, user training, change management initiatives.”
Chapter 31: Managing risk and building digital trust. Beware of the new risks introduced by your digital and AI transformation into areas such as cybersecurity, data privacy, and AI biases. ADLC addresses this through deterministic hook enforcement, APRA CPS 234 + SOC2 alignment, supply chain SBOM, and the Testing Theater anti-pattern elimination.
Source: Rewired: The McKinsey Guide to Outcompeting in the Age of Digital and AI (Lamarre, Smaje, Zemmel, 2023)
AI vulnerability detection improves with model updates. NemoClaw kernel-level sandboxing adds hardware-enforced boundaries. Anti-pattern catalog grows with each incident.
9 components implementing this pillar
What happens without this pillar, and why ADLC scales from 1 person to enterprise
McKinsey: “For every $1 you spend on developing a digital solution, plan to spend at least another $1 (and sometimes more) to ensure full adoption and scaling” (Rewired S6, p.287). Chapter 31 warns: “Beware of the new risks introduced by your digital and AI transformation into areas such as cybersecurity, data privacy, and AI biases” (p.288). Without security and quality gates, adoption fails because users don’t trust the system.
Testing theater detection and supply chain enforcement are automated via hooks. Coverage gates are honest (fail_under measured, not estimated). The quality bar is the same whether shipping a PyPI package or deploying to production AWS accounts.
ANZ enterprise verticals where this pillar is most critical
Each pillar feeds the next — creating a self-reinforcing cycle of capability building
Quality metrics and security posture feed back into the business roadmap — closing the continuous improvement loop.
Real products built and governed by this pillar
Browse the full component catalog or read the documentation
AI agents build governed & Humans ship trusted.