Ship New Features at AI Speed — With Discipline to Match
New Features Development extends your production software through the governed AI-MSL lifecycle — business intent turned into structured requirements, implementation-ready specifications, and production-ready code, with expert review at every gate.
Trusted by teams running production software
For product teams whose roadmap outpaces what they can ship
In headcount-bound models, feature delivery depends on sprint cycles, cross-team alignment, and engineering availability. Requirement clarification continues deep into development — producing rework, scope disputes, and release timelines nobody fully trusts.
As an AI-MSL core capability, feature development starts with structured requirement finalization before implementation, then runs through governed Requirements → Specifications → Code phases. Velocity rises — and architectural coherence is preserved while it does.
“Feature velocity isn't typing code faster. It's never building the wrong thing — requirements finalized before implementation, and an expert gate before anything ships.”
Co-Chair, LF AI & Data committee
What New Features Development covers
AI-MSL extends your production software across these areas — scoped to your system through assessment and delivered as governed lifecycle changes.
You always have visibility into the highest-value feature work available — and what it costs before it ships.
New Features Development Starts With Understanding Your System
Every AI-MSL engagement begins with a comprehensive system assessment. Using AppGraph and AI-MSL analysis, we evaluate your applications across 20+ dimensions — producing a prioritized report of operational risk and where reliability and cost can improve.
With AI-MSL, system intelligence is not a one-time assessment — it becomes a continuous discovery process that keeps every new feature grounded in how the system works today.
Pay for Changes— Not Headcount
Traditional development bills for a standing team — capacity you fund whether or not the roadmap moves. AI-MSL works differently — every feature becomes a series of delivery-ready changes you can evaluate, prioritize, approve, and measure independently.
One Completed Governed Software Change
Delivered in cycles. Governed by design.
Features in 2–3 day cycles
Most features are decomposed into small, governed cycles — each delivering an independent, validated increment of business value.
Governance built into every change
New features touch critical systems, customer experiences, and business operations. Every change passes through AI-MSL governance controls before deployment.
cycles
gates
“Teams ship new features faster without sacrificing quality, accountability, or operational control.”
Nick Chase · Chief AI Officer, CloudGeometry
What you can count on every cycle
The same shape, every time — predictable, measurable, and prioritized.
What a cycle looks like in practice
Representative changes — each delivered as one governed cycle.
Small, validated increments ship continuously — AI speed, with every gate enforced.
Is New Features Development right for you?
You're in the right place if:
Not sure
it's a fit?
New Features Development is built for extending existing production systems. If the system itself needs structural work first, Application Modernization is the better entry path; if you mainly need to keep things healthy, see Software Maintenance — every service runs on the same governed lifecycle. Or start with the assessment, and it will point you to the right one.
Outcomes you can measure
Feature delivery becomes measurable — across speed, cost, risk, predictability, visibility, and readiness for what's next.
Feature Delivery Proven in Production
New capabilities shipped on production systems under the governed AI-MSL lifecycle — measured in completed, validated changes.
Digital Remedy
AI-MSL ran end-to-end across three interconnected advertising-technology codebases simultaneously, with cross-product dependencies surfaced during evaluation rather than discovered in production. Sprint-level tasks delivered 5× faster, at roughly 10% of the cost of an in-house team using AI tools.
We ship across all three products without tripping over each other.
ShiftPixy
Legacy monolith modernized to cloud-native microservices, then extended with new capabilities at a transformed cadence — development velocity and cost structure rebuilt within months, with full investment payback in under five months.
New capabilities land at a cadence we couldn't touch before — with the discipline to match.
See What New Features Development Under AI-MSL Looks Like for Your System
Every engagement begins with a System Intelligence Assessment. You'll receive a clear analysis of your architecture, technical debt, AI-readiness, and expected AI-MSL operating cost.