New systems, new modules, new revenue surface. Our AI platform compresses the SDLC from requirements through deployment — senior engineers own architecture, security, and the production cutover. Plans trace to the PRD. Architecture is gated.
Greenfield is where AI looks the best in a sales call. A prompt becomes a working prototype in an afternoon. The slide deck writes itself. The hard parts — load testing, idempotent migrations, secrets management, the fourth alert at 3am — are invisible at the prototype stage, which is exactly where most projects sign off on AI as the delivery model.
What follows is predictable. UAT exposes the half of the requirements the agent never inferred. Security review exposes the half of the architecture nobody owned. The cutover slips. Engineers get pulled in to repair a system they didn't help design. The original timeline survives only as a footnote in the post-mortem.
The honest version of greenfield delivery uses AI heavily — and constrains it harder. PlanTrace makes every plan item answer to the PRD. ArchTrace makes every change answer to the architecture. Senior engineers own the parts AI shouldn't. The result is software that ships in weeks and runs on a Tuesday.
Requirements analysis, solution design, code generation, test scaffolding, and deployment artifacts are produced by our internal agents — not by hand and not from scratch. Senior engineers spend their time on architecture and judgment, not on boilerplate.
Choices about boundaries, data, security, and integration sit with a named senior engineer. Not the agent. Not a committee. The person whose name is on the architecture is on call for it after delivery.
PlanTrace produces a plan where every story carries its source — PRD section, paragraph, version hash. No orphan scope. No invented requirements. When a stakeholder asks why are we building this?, the answer is a link.
ArchTrace runs before every AI session stops. SHACL shapes over seven named graphs catch drift the moment it happens. Reviewers see violations in the IDE, not in a PR thread three days later.
Greenfield is where AI leverage is highest — and where the temptation to let it ship unchecked is strongest. We name both sides plainly. The engagement plan reflects what AI actually carries and where the senior engineers must own the keyboard.
Outcome statement, constraint register, system context. The thing being built becomes the thing being measured.
PRD becomes a plan with full lineage via PlanTrace. Architecture map is drawn and signed. Cutover sketch on day one.
Iterate in waves. Agents draft, generate tests, refactor. Seniors gate every change. ArchTrace enforces the architecture.
Production cutover with a rollback path. Observability live before the first user. Same team carries the pager for the first sprint after launch.
Every plan item links back to the PRD section it came from. Approved plans are immutable; updates ship as diffs. Scope creep stops being a conversation about memory and becomes a conversation about evidence.
Deterministic gate over seven named graphs. Every AI session is checked against the architecture before it stops. SARIF findings render in the IDE the senior engineer is already in.
Start with a sentence about the system you're trying to build.
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