A warm, sunlit modern-classical atrium with a central rotunda, representing a calm, governed AI operating model.
    Fractional AI Office

    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.

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    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.

    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.

    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 2025

    80%+

    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, 2024

    How 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 at $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. Material builds are 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.

    $7,500
    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; material implementation is scoped and approved separately, 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

    Published pricing

    One clear flow: then launch, then operate.

    Most engagements: $6,000 to $8,000 per month. No quote theater and no hidden mandatory steps: the Sprint is the front door, the on-site activation is optional, and every number below is published. An embedded, regulated, or board-intensive Office is scoped by custom proposal.

    01

    Diagnose: the $7,500 Sprint

    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: most engagements $6,000 to $8,000 per month

    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.

    Most engagements

    $6,000 to $8,000/month

    The standard tier: weekly, multi-initiative, principal-led work with a weekly working session, a monthly executive review, and the standardized board-ready summary. Standard engagements may begin with a 90-day term.

    Focused Office

    From $4,000/month

    A restricted entry point, not the standard tier: one priority initiative, one executive sponsor, twice-monthly working sessions, and one monthly executive review with the board-ready summary. It does not include weekly access, cross-departmental governance, open-ended vendor review, or material implementation oversight.

    Sprint credit

    Up to 100% credited

    A standard Office begun within 60 days may credit the full $7,500 Sprint fee across a six-month commitment, or up to $3,750 across a 90-day commitment. The focused Office receives no credit, and credits never apply to the On-Site Activation, travel, implementation, custom builds, managed operations, or third-party costs.

    The Office leads, prioritizes, governs, and oversees the portfolio. Material implementation is scoped and approved separately against our published build pricing, 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

    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 at $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 $7,500 Readiness + Governance Sprint. Both paths begin with the same free 30-minute AI Strategy Call.

    Book an AI Strategy Call