AI coding tools changed how developers work, but the gains stay personal. Every developer prompts and reviews differently, and what one person learns rarely reaches the team. Our AI Transformation moves your engineering teams to one governed, spec-first way of working with agents, on your own code and inside your own sprints. It is the inner loop of the Agentic SDLC Factory Platform.
AI Transformation is a six week program that moves engineering teams from individual AI use to one shared way of working with agents. It is a structured foundation phase, built on our Twelve Factor Agentic SDLC methodology, that establishes shared workflows, governance and core assets. It replaces ad hoc prompting with a clear methodology, shared assets and working habits that scale across teams, and it runs on your own code and inside your own sprints. It can be started on its own, or as the first stage of the Agentic SDLC Factory Platform.
The work happens inside your developers' existing IDEs and coding agents, with the models you already use. During the engagement we create a shared team-ai-directives repository, the single source of truth for how AI is used across the team. It captures the rules, personas, examples and shared context that guide consistent AI behavior and support the Agentic SDLC workflow. We use our open source agentic-sdlc-spec-kit CLI to run the spec-first workflow in the IDE. In the next stage, the Shared Brain, this first repository is expanded with skills, evals and more context for every team.
A consistent, spec-first way of working with agents across your teams.
Developers stay accountable for architecture and quality, while AI acts as a fast, guided collaborator.
Every task starts with a clear, versioned spec. When output misses the mark, developers fix the spec, not the generated code.
Pair with agents on complex problems and delegate routine toil, with a clear line between the two.
AI instructions become shared, versioned assets that evolve with the team.
Shared rules and spec gates make agent output more predictable and easier to review.
Successful patterns are captured during delivery and fed back as reusable knowledge.
AI Transformation runs as a focused six week process for a group of up to 50 developers, and then moves on to the next group. It is designed to build a strong foundation for agentic engineering across your teams.
(Week 1)
We assess current AI usage, friction points and trust levels. Together we set baseline metrics, adapt the methodology to your stack, and create the first team-ai-directives repository using real code scenarios.
(Weeks 2-3)
Intensive hands-on sessions where teams practice the Agentic SDLC on exercises built from your own code, including Developer as Orchestrator, sync versus async execution, and Directives as Code.
(Weeks 4-5)
We work alongside your teams in live sprints. Developers apply the methodology to real tasks while we mentor the workflow and capture successful solutions into shared assets.
(Week 6)
We measure improvement against the original baseline, validate adoption, and transfer ownership of the workflow and assets to your internal AI lead, with a roadmap for scaling.
AI Transformation is the first stage of the Agentic SDLC Factory Platform. Your teams can continue with the Shared Brain, the Agentic Factory Floor and AI Cost Optimization, or take the full Platform for the complete solution.
Interested?
Let's make sure AI helps your teams move faster, not create problems you'll debug later.
