01
Functional intent
Business outcomes, constraints, and the definition of done — set by the architect.
Enterprise AI consulting for software delivery
Enterprise AI delivery without the false choices.
Architect-led. Specification-first. Model-agnostic. Built to survive production.
We help CIOs, engineering leaders, and Dynamics owners install a governed AI-assisted software delivery operating model, prove it on real work, and leave their team able to run it.
01 / Start with the decision
Choose the risk you need to remove.
The operating model is one system. The right entry point depends on the decision, delivery risk, or continuity gap in front of you.
CIO / CTO
Set the operating model before scaling AI delivery.
Align governance, architecture, model policy, evidence, and investment around a plan the organization can fund and defend.
Explore the Blueprint →Engineering leadership
Prove a better delivery system on real work.
Run one bounded project from intent through reviewed implementation, measurement, handoff, and a reusable team playbook.
Explore the Pilot →Dynamics owner
Recover an inherited or stalled solution.
Restore architecture, security, integrations, testing, ALM, and delivery confidence in difficult Microsoft environments.
See Dynamics delivery →Transformation leader
Keep principal judgment in the room.
Add bounded, ongoing architecture and AI-delivery leadership without treating a senior role like hourly staff augmentation.
Explore fractional leadership →Leaders defining decision rights, model policy, governance, and investment can start with the AI delivery operating model Blueprint. Teams ready to prove the method can run an AI-assisted software delivery Pilot. If an inherited Microsoft implementation has stalled, our Dynamics 365 project rescue restores a credible path to production. Teams that need an honest adoption baseline can start with the enterprise AI adoption Workshop, while organizations needing continuing senior judgment can retain a fractional solution architect.
02 / The delivery system
Specifications before code. Evidence selects the tool.
One connected line from business intent to production—and a system your team can run without us. Agents accelerate the work; the architect retains authority.
02
Specifications & decisions
Requirements, ADRs, and acceptance criteria. Connected and versioned.
03
Implementation
Built against the spec. The tool is chosen per step, not per vendor.
04
Independent review
A separate pass checks the work against the spec — not the prompt.
05
Testing & ALM
Automated tests, migration, release, and traceability back to intent.
06
Reusable operating model
The routines stay with your team. You can run it again without us.
03 / Engagements
Align. Design. Prove. Lead.
01Align
AI-First Engineering Workshop
$12,500
Fixed · 2 weeks
A shared, honest read on where AI helps your delivery — and where it does not yet.
View scope →02Design
Enterprise AI Delivery Blueprint
From $40,000
Starting investment · 4 weeks
A target operating model your organization can fund, staff, and defend.
View scope →03ProveFlagship
AI-First Delivery System Pilot
From $75,000
Starting investment · typically 8–12 weeks
One real project delivered under the operating model — plus a playbook your team can run again.
View scope →04Lead
Fractional Principal Architect
From $15,000
per month · 5 reserved principal days
Senior architecture and AI-delivery leadership, on a defined and bounded commitment.
View scope →04 / Evidence you can inspect
We run the system on our own products.
Each public product is evidence of the same discipline: explicit requirements, governed delivery, observable behavior, and production ownership.
ValulyLive · Public
Evidence-grade domain valuation
Prices a domain as a market band from recorded sales, cites every comparable, and publishes its own median error.
Shows its work — delivery discipline, made public.
valuly.ai ↗MeetCrewLive · Public
AI meeting participant
Joins Teams, Zoom, Webex, and Meet by name, answers when addressed, and hands memory back to your agent. Always disclosed; no voiceprints stored.
Microsoft-stack native, governance-first.
meetcrew.ai ↗SpecStepLive · Public
Build-ready specifications
Turns messy product ideas into requirements, architecture, risks, and acceptance criteria your AI coding tools can build from. MCP-native.
The spec system inside our own delivery model.
specstep.com ↗Evidence discipline
See the artifacts behind a supportable delivery claim.
Specifications, decisions, review findings, tests, and release records stay connected. Client material appears only with explicit publication authority.
05 / Fit
A fit call is a fit test.
We will be candid about whether the delivery challenge, operating model, capacity, and working relationship fit both sides.
A fit
- Inherited, stalled, or failing enterprise projects
- Teams adopting AI without abandoning governance or maintainability
- Dynamics 365 & Power Platform owners
- Leaders who want a repeatable operating model — not a one-off
Not a fit
- Staffing a seat by the hour
- Prompt-engineering training on its own
- “Vibe coding” with no architectural ownership
- Teams unwilling to change how they deliver