Maturity assessment
Know your
AI Maturity
Score
For Product, Analytics & Engineering Leaders
Ten questions, about three minutes, across Product, Engineering and Analytics. You get a score out of 100 and a breakdown of where the points went.
Maturity whitepaper
The AI Workforce for Outer Loop Automation
Your score says where you sit today. This paper is what the next stage looks like: why AI at the keyboard plateaus, where company velocity actually comes from, and what it takes to automate everything after the code.
- Why the outer loop is where the effort goes once agents write the code
- The stages of the outer loop, and how each one is automated
- The agents that run it, and how one completes a task end to end
- Separating knowledge from intelligence, so a model swap costs nothing
- Security, governance and the deployment options an enterprise needs
Agentic SDLC whitepaper
The Guide to the Agentic SDLC
Coding agents made individual engineers faster, and most organisations still do not feel faster. This guide is how teams move from individual coding agents to one coordinated system of humans and agents across the whole lifecycle.
- Why individual productivity is not team productivity, and where the plateau comes from
- The four levels of AI transformation, and what Level 4 actually asks of a team
- The six stages of the agentic SDLC, and what humans decide at each one
- Agentic loops: PR to merge, ticket to PR, alert to resolution, feedback to features
- The platform stack, security and governance, and how to get started
AI-native levels whitepaper
How AI-Native Is Your Engineering Org?
Every CTO knows AI matters, and few have a clear path to scale it. This paper is the staircase: four levels from individual thought partner to autonomous, system-wide execution, and what it takes to move up each one.
- The four levels, from AI as a thought partner to an AI-native operational system
- The operating profile at each level: interface, context, execution and governance
- Why the Level 2 to Level 3 jump is agency, and where delivery speed plateaus without it
- Six principles for moving up, including why levels build rather than replace
- A three-phase plan to assess, plan and climb
Software verification whitepaper
AI Writes the Code. Verification Is Now 10x More Important.
A green build can still ship the wrong product. When one agent writes the code and the tests, both encode the same reading of the ticket, and CI confirms that reading rather than the requirement. This paper is how verification moves outside the agent loop.
- The blind spot: why one agent writing both code and tests leaves no independent check
- The testing pyramid as an economic bet, and what changes when agents absorb the upkeep
- Code verification against product verification, and why the source of expectations decides
- Three governance rules that keep expected outcomes out of the coding agent’s reach
- The ACC capability model, a case study of 12,000 green tests, and the playbook
