AI SOFTWARE DEVELOPMENT LIFECYCLE & DELIVERY
I redesign your software development lifecycle using AI at every stage—from planning through build, test and release—so delivery becomes a continuous, low-risk flow of AI changes instead of a handful of big bets per quarter.
Engagement: 15–30 day AI SDLC lane — design, run and hand over one lane end-to-end.
- Move from "one release a month" to many safe releases per day by shortening feedback loops and letting AI handle the mechanical work across plan–build–test–run.
- Use focused lanes (typically 2–4 people) to prove the pattern, with clear ownership, automated checks and practiced rollback, then roll it out across more teams.
- Treat infra, configs, prompts, evals, guardrails and skills as code with full traceability and telemetry, so you can see what changed, why, and what it did to your KPIs.