Where AI in software development stalls
Most organisations started with coding assistants, and developers got faster. Delivery often didn't, because code was never the only constraint. Requirements, testing, approvals and release still run at the old pace, and the time saved waits in the queue.
Agentic delivery changes the lifecycle itself. Agents draft requirements, write and test code and assemble release evidence. People set direction, judge quality and stay accountable. Getting there takes clear guardrails, new roles and an architecture agents can work in safely.
This assessment shows how ready your delivery lifecycle is for that shift.
How it works
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Answer 20 questions
About 5 minutes, one tap each.
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Overall and for each dimension.
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Get your board-ready PDF
What to fix first in each dimension.
5 Dimensions. 20 Questions. One Honest Score.
Your score is assessed across five dimensions, the areas where we see the biggest gaps between AI ambition and actual readiness.
in transformation programs at some of Australia's most complex organisations.
Use Case Potential
Do you know which use cases move your P&L?
Data Foundations
Can your data feed AI you can trust?
Technology & Integration
Can your platforms take AI into production?
People & Organisation
Do your people have the skills and the mandate?
Governance, Risk & Compliance
Is AI risk governed before the first incident?
Frequently Asked Questions
Common questions about the AI-Native Software Delivery Assessment and how it works.
An AI-native software delivery lifecycle (SDLC) redesigns how software moves from idea to production around AI: agents carry routine work such as drafting requirements, generating code, testing and release evidence, while people set direction, judge quality and hold accountability. The gains come when roles, governance and the lifecycle change together.
Still have a question? Take the 5-minute assessment and get your personalised PDF report with answers specific to your organisation.
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