AI is already happening, informally
Staff are already using AI tools, prompts, and data in ways leadership has little visibility into. That is shadow AI, and it creates data, quality, and consistency risk before anyone has decided the rules.
Fractional AI Office
Practical AI leadership, without the full-time hire.
Most businesses do not need a full-time Chief AI Officer. They need practical AI strategy consulting: an office that sets safe rules, prioritizes the right use cases, builds useful workflows, and keeps improving them. If you have been searching for a fractional Chief AI Officer, this is that role, delivered as an office backed by the team that builds the workflows.
The problem is ownership, not ideas
AI is already in your business. No one owns it.
The gap is not a shortage of AI ideas. It is governance, workflow redesign, adoption, and measurement. A Fractional AI Office closes that gap with rules and running systems, not another pilot.
Experiments, but no operating model
Teams run pilots that never become adopted workflows. There is enthusiasm and tool sprawl, but no owner, no governance, and no measured path from experiment to a workflow the business relies on.
You need governance and implementation
Most businesses do not need a full-time Chief AI Officer. They need a practical AI office that sets safe rules, prioritizes the right use cases, builds the workflows, and keeps improving them, not a strategy deck.
95%
of enterprise generative AI pilots delivered no measurable business return in 2025, with the failures traced to tools that never adapted to the organization's workflows.
MIT Project NANDA, State of AI in Business 202580%+
of AI projects fail, roughly twice the rate of non-AI IT projects, with unclear or miscommunicated objectives among the leading causes. Ownership and governance are the fix.
RAND Corporation, 2024How the office works
Diagnose, then launch, then operate.
One motion, not a strategy handoff. It starts with a 30-day AI Readiness + Governance Sprint, moves into a remote or on-site launch, and operates the portfolio through the monthly Office.
01
AI Readiness + Governance
We inventory the AI already in use, review shadow-AI and data risk, draft an approved-use policy, map the highest-value workflows, and produce a prioritized 90-day roadmap ranked by value, risk, and readiness. This runs as a 30-day AI Readiness + Governance Sprint from $7,500.
02
Launch
After the Sprint, most clients launch the ongoing Office remotely; an optional Two-Week On-Site Activation is available for multi-departmental, regulated, business-critical, or change-intensive programs. The Office redesigns the process around AI, defines human review points, trains the staff who use the workflows, and measures adoption, time saved, and quality. The standard bounded implementations of the workflows it prioritizes run inside the Office through one active implementation lane. Regulated work is included and scoped upfront against the client's existing control framework. Work needing dedicated engineering beyond that lane, private infrastructure, or business-critical scope is scoped and approved separately against published build pricing.
03
Ongoing Operating Partner
After launch we run a leadership cadence, manage the AI backlog, keep governance current, review tools and vendors, refresh staff enablement, monitor the workflows, and report business impact. Automation is a product, not a one-time delivery.
What the readiness sprint produces
A 30-day sprint, concrete artifacts.
AI usage inventory across teams and tools
Shadow-AI and data-risk map
Approved and prohibited AI use policy
Workflow opportunity map ranked by value, risk, and readiness
Prioritized 90-day implementation roadmap
First workflow selected for build
Measurement plan for adoption, time saved, quality, and risk reduction
Who runs the office
Fractional AI leadership, in tandem.
Ryan McCainAntwon KilcreaseCo-principals on every engagement
For Claude-based systems, architecture is led by Ryan McCain, Claude Certified Architect – Professional (Anthropic). Verify credential
Every AI Office engagement is led directly by Ryan McCain and Antwon Kilcrease, working in tandem. No account managers between you and the principals accountable for the work. Two complementary operators who pressure-test each other's calls, which keeps engagements moving cleaner and faster than a single fractional executive can. Between them: 15+ years across DevOps, security, CI/CD pipelines, workflow automation, AI systems, and architecture. The principals who set your AI rules stay directly accountable for what is built and operated under them, backed by implementation capacity that scales around the approved portfolio.
The operating cadence is published, not vague: a weekly working session and a monthly executive review that produces a standardized board-ready summary, with governance decisions documented as they are made. The office owns AI portfolio prioritization, governance, vendor and tool review, and oversight of the build-and-operate loop. Standard bounded implementations run inside the Office through one active implementation lane. Regulated work is included and scoped upfront. Work needing dedicated engineering beyond that lane, private infrastructure, or business-critical scope is scoped separately, in one commercial picture with no duplicated fees. Every engagement is principal-led. New launches are scheduled around active client commitments so Ryan and Antwon remain directly involved while implementation capacity scales around the approved portfolio. Legal, clinical, financial, and compliance accountability stays with your organization and its advisors.
Governance without paralysis
Safe adoption, not bureaucracy.
The point of governance is not paperwork. It is making AI safe to run in your business. These controls are built into the workflows, not bolted on as policy nobody follows.
Human review points and escalation rules on every workflow
Clear data boundaries and access rules for AI systems
Audit trails so decisions and actions are traceable
Approved and prohibited AI use, documented and current
Vendor and tool review to control sprawl and risk
Measured adoption, time saved, and quality, not vanity metrics
How pricing works
One clear flow: diagnose, launch, operate.
The Sprint is published and the ongoing Office is priced to scope. The Office includes the standard bounded implementations of the workflows it prioritizes, including regulated work scoped upfront against the client's existing control framework. It runs one active implementation lane at a time, so you know what is inside the retainer before you sign. The Sprint is the front door, and the on-site activation is optional. Work needing dedicated engineering beyond the active lane, private infrastructure, or business-critical scope is quoted against our published build pricing.
01
Diagnose: the Sprint, from $7,500
Thirty days and seven buyer-owned artifacts: priority portfolio, governance structure, implementation roadmap, and operating plan. Yours regardless of what happens next.
02
Launch: remote by default, on-site when it earns it
Most clients begin the ongoing Office remotely, included in the monthly engagement. For multi-departmental, regulated, business-critical, or change-intensive programs, an optional Two-Week On-Site Activation is available: $30,000 flat, both principals, full-time, ten business days, one primary location, with travel and lodging pre-approved and billed separately. Defined outputs: stakeholder alignment, operating cadence and decision rights launched, priority initiatives moved into execution, initial training and adoption, an implementation sequence with risk register, and an executive launch summary with a next-90-day plan. The monthly Office begins after the on-site period unless the proposal states otherwise.
03
Operate: one active implementation lane, priced to scope
Weekly, multi-initiative, principal-led work: a weekly working session, a monthly executive review, and a standardized board-ready summary, with the AI portfolio, governance, and vendor decisions owned by the office.
AI Readiness + Governance Sprint
Starting at $7,500
Thirty days to a governance baseline and a prioritized portfolio you own, whether or not you continue with CloudNSite.
Fractional AI Office
Priced to scope
One accountable AI operating function. Governance, portfolio prioritization, weekly operating coordination, monthly executive reporting, and the standard bounded implementations of the workflows it prioritizes, run one active implementation lane at a time.
One active implementation lane
Sequential
Work moves from written scope through validation, deployment, and stabilization before the next implementation starts. Regulated work is included and scoped upfront. Work needing dedicated engineering beyond the active lane, private infrastructure, or business-critical scope is scoped separately.
The Office leads, prioritizes, governs, and oversees the portfolio, and it includes the standard bounded implementations of the workflows it prioritizes through one active implementation lane. Regulated work is included and scoped upfront against the client's existing control framework. Work needing dedicated engineering beyond the active lane, private infrastructure, or business-critical scope is scoped separately against our published build pricing and approved before the work starts, in one commercial picture with no duplicated oversight fees. Production monitoring and managed operations are included or coordinated according to the specific proposal.
Who it is for
A blunt fit check, both ways.
Good fit
- You have multiple AI opportunities and no one who owns them
- AI usage is scattered across teams with unclear governance
- You want progress but are not ready to hire a full-time AI executive
- Operational pain in intake, scheduling, billing, documents, support, or reporting
- An executive sponsor who wants safe, measurable adoption
Not a fit
- You only want a chatbot
- There is no executive sponsor for the work
- You expect AI ROI without any workflow or process change
- You want us to take legal, clinical, financial, or compliance accountability
- You are shopping for a cheap generic automation package
- You want unlimited AI advisory without a defined workflow, sponsor, or implementation path
Frequently asked
The AI office, answered straight.
Straight answers on what it is, what it costs, what we build, and where the accountability lines are.
Sources referenced on this page
- The GenAI Divide. MIT Project NANDA, State of AI in Business 2025.
- The Root Causes of Failure for Artificial Intelligence Projects. RAND Corporation, 2024.
Governance from day oneClear exit pathU.S.-based
Turn scattered AI into a governed operating model.
Start with a 30-day AI Readiness + Governance Sprint from $7,500. You leave with a practical AI operating plan and a governance baseline you own, whether or not you continue with CloudNSite.
One workflow
A known process, a clear owner, a measurable bottleneck. Start with the $999 Current State Assessment, credited toward qualifying builds under the published terms.
The whole organization
Multiple departments, scattered AI, unclear priorities, a governance gap. Start with the Readiness + Governance Sprint, from $7,500. Both paths begin with the same free 30-minute AI Strategy Call.