Let's Map Your AI Software Development Process — Together
A 30-minute working session on how your team builds with Claude, Cursor, Antigravity, Amazon Q and others today — and where an AI Control Plane adds governance, traceability, auditing, and coding & testing efficiency.
You'll leave with a clear picture of your current process and concrete improvements you can make — with or without Projexlight.
Pick a Time — We'll Come Prepared30 minutes · No pitch · Next available slots below
What we'll cover together
We walk the lifecycle end to end — plan, build, validate, release — and mark where structure is already strong and where it's still prompt-driven.
Your AI SDLC, mapped
How requirements become prompts, code, and releases today — and where the project plan and development structure are missing.
Governance, traceability & audit
Whether you can trace a shipped line of code back to a requirement — and what an enterprise audit or compliance review would ask you for.
Coding & testing efficiency
Where functional and unit tests can be generated in parallel with code, and how API and UI acceptance criteria get validated automatically.
Your improvement roadmap
A prioritized shortlist of changes, sized against the benchmark our teams see: up to 90% lower testing cost and 3x faster delivery.
Best for CTOs, VPs of Engineering, Heads of QA, and platform/developer-experience leads scaling AI-assisted development across teams.
Prompt-based development doesn't leave a record
The code ships, but the link between the task, the prompt that produced it, the APIs it touched, and the context it was given is never captured. Six months later, when a production issue finally surfaces, there is nothing to reconstruct — no one can answer what was missing, or why.
Prompt-based, iterative
- Prompts live in chat history, not in the project record
- No link from requirement → task → prompt → API → test
- Test coverage is decided after the code exists, if at all
- Audit questions answered from memory and git archaeology
With an AI Control Plane
- Structured project plan drives every generation, not ad-hoc prompts
- Task, prompt, API, context and test linked at a granular level
- Functional and unit tests generated in parallel with the code
- API and UI acceptance criteria validated before release
- A durable audit trail that still answers questions in month six
In this session we'll find where your process sits on that line — and what it takes to close the gap.
Projexlight gave us the plan first, then the code, with the tests written alongside it. Every feature in our CRM traces back to a requirement — I can hand someone the trail instead of an explanation.
Pick a Time — We'll Come Prepared
Tell us your stack and AI tooling, and we'll bring a delivery blueprint built for a team like yours.
30 minutes, engineer to engineer — we'll walk your AI development process end to end and show where structure, governance, and parallel testing pay off first. Pick a time and we'll prepare examples relevant to your stack.
Available times for Aug 14
Prefer not to book? Get a written AI SDLC assessment by email (no call)
Prefer to reach us another way?
Just reply to any of our emails or reach out directly — we'll coordinate a time that works.