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    Insightful AI

    Fractional Head of AI Operations

    Fractional head of AI operations

    A senior technical AI delivery lead on a monthly retainer. We own the operations layer so your AI tools keep working, your backlog keeps moving, and your leadership sees the time saved.

    How an engagement runs

    1. Discovery call

      30 minutes, no commitment

    2. Scoping workshop

      One structured day on your real processes

    3. Written findings

      Report, priorities and a clear order of action

    4. Delivery

      Fixed price, defined deliverables, governance built in

    5. Handover

      Documentation your team can run without us

    If we are not the right fit, we say so at the first step, not the last.
    From
    £1,500 / month ex VAT
    Commitment
    3 months minimum
    Delivery lead
    Kane Lukassen + team

    You are already using AI. People in your organisation are in ChatGPT and Copilot most days. If you are honest, you played around and never turned it into anything that stuck. You bought a tool, brought someone in, and your team is still doing half of the work manually. An automation broke and nobody fixed it, because nobody owns this. You cannot justify a full-time AI hire.

    A fractional head of AI operations is a senior technical AI delivery lead on a monthly retainer, without a permanent appointment. You get a named lead responsible for making your AI work and keeping it working. Our co-founder Kane Lukassen leads the service, supported by our technical delivery team.

    The ownership gap

    42% of companies abandoned most AI initiatives in 2025, up from 17% in 2024 (S&P Global, 2025). Over 80% of AI projects fail, twice the rate of traditional IT projects (RAND Corporation). 46% of proofs-of-concept fail to scale (Resultsense).

    None of those figures is about poor technology. They are about what happens when no named person owns the AI layer after deployment. 75% of AI adopters report improved workforce productivity (DSIT, 2026). The organisations in that group are not using better tools. They are maintaining the ones they have.

    How this differs from a fractional chief AI officer

    DimensionFractional CAIOFractional Head of AI Operations
    Primary focusGovernance, policy, and board oversightTechnical delivery, workflow operations, automation, QA
    The question it answersIs our AI safe, compliant, and defensible?Is our AI working, improving, and measured each month?
    Who it servesLeadership, board, trustees, compliance leadsOperations teams, technical leads, AI day-to-day owners
    What you receiveAI policy, risk register, board-ready governanceWorking automations, backlog, time-saved tracking, retrieval oversight
    Best fitOrganisations preparing for board scrutiny or regulatory reviewOrganisations with AI in use but no named operations owner
    Commercial valueReduces regulatory and reputational riskDelivers measurable monthly time savings and continuity

    The two roles work well in combination. If your organisation needs both board-level governance and day-to-day delivery, both retainers can run simultaneously.

    What a typical month produces

    Every month produces eight structured outputs. The outputs are the same every month, which means you can hold the engagement accountable. Nothing drifts.

    • AI operations review
    • Use case backlog update
    • Active workflow review
    • Automation performance review
    • Issues and failures log
    • Time-saved estimate against baseline
    • Next-month priorities
    • Leadership summary

    The monthly operating rhythm

    The tier determines the depth.

    Foundation (1 day / month)

    Priority issues, three workflow reviews per quarter, email support for agreed AI operations questions, and a quarterly leadership summary.

    Active (2 days / month)

    Adds fortnightly check-ins, one new workflow area mapped per month, prompt and automation QA, build oversight for internal or Insightful AI delivery, a monthly metrics review, and a leadership decision note.

    Embedded (4 days / month)

    Adds weekly working sessions, full ownership of the AI operations backlog across multiple workstreams, technical design review, pilot management for automation and knowledge retrieval work, supplier review and tool selection, and an implementation roadmap.

    Pricing

    All prices ex VAT. Three-month minimum term. Most clients start with a one-day AI readiness scoping workshop (£1,500 ex VAT).

    Foundation

    £1,500 / month

    1 day per month

    30–150-person organisations beginning implementation, or those who have completed an AI at Work session with clear workflows and no internal owner.

    Active

    £3,000 / month

    2 days per month

    100–700-person organisations actively rolling out Copilot, ChatGPT, automation, or knowledge retrieval across departments.

    Embedded

    £5,500 / month

    4 days per month

    200–2,000-person organisations that need a serious part-time AI operations lead without a full-time appointment.

    What the retainer includes and what is priced separately

    IncludedPriced separately
    Technical leadership and prioritisationFull automation builds
    AI operations backlog ownershipCustom software development
    Automation maintenance and monitoringLarge-scale knowledge retrieval implementation
    Workflow and prompt QALarge data migration
    Knowledge retrieval scoping and governanceDeep system integrations
    Monthly time-saved reportingOngoing support desks
    Leadership summariesAny fixed-price project build

    When the backlog surfaces a build requirement, we scope it, quote it clearly, and manage it as a separate engagement. For larger builds, see AI Automation, Agentic AI Workflow Design, and AI Software Development.

    Frequently asked questions

    What does a fractional head of AI operations actually do?
    They take ownership of AI delivery on a monthly retainer. The role covers prioritising your use case backlog, maintaining and monitoring automations, overseeing builds, reviewing knowledge retrieval systems, and producing a monthly summary for leadership. It is technical delivery and oversight, not strategy reports.
    Do we need this, or should we just hire an AI operations manager?
    Hiring full-time means recruitment costs and a salary before you know what the role needs. The retainer gives you senior technical AI delivery from £1,500 ex VAT per month, no recruitment cost, and three months to understand the function before deciding whether to hire permanently. If you decide to hire, we can help you write the brief.
    How is this different from a fractional chief AI officer?
    A fractional chief AI officer focuses on governance, board confidence, and regulatory alignment. A fractional head of AI operations focuses on delivery: are the automations running, is the backlog prioritised, is measurement in place? Ben Sefton leads governance and advisory; Kane Lukassen leads our technical delivery team. The two roles work well in combination.
    Is our data safe, and can you build a knowledge assistant on our documents?
    Governance is built into every use case assessment. Before any knowledge retrieval pilot, we review the data, permissions, and sensitivity, and document the position under UK GDPR. Where processing personal data carries significant risk, a Data Protection Impact Assessment (DPIA) is documented. You receive documented governance for every live use case, not general assurances.
    How do you measure whether AI is saving us time?
    Every month includes a time-saved estimate calculated against a baseline set at the start of the engagement. The baseline documents how long each targeted workflow takes, who runs it, and how often. The monthly leadership summary translates operational data into hours recovered, workflows improved, issues resolved, and what comes next.
    How quickly can we start, and what is the minimum commitment?
    The minimum commitment is three months. Most clients start with a one-day AI readiness scoping workshop (£1,500 ex VAT) that maps current AI use and produces the initial operations backlog. The first retainer month follows immediately. Clients arriving after an existing engagement can move directly into the retainer.

    Is our data safe, and can you build a knowledge assistant on our documents?

    Governance is built into every use case assessment. Before any knowledge retrieval pilot, we review the data, permissions, and sensitivity, and document the position under UK GDPR. If a workflow creates regulatory risk, that surfaces before deployment. You receive documented governance for every live use case, not general assurances.

    76% of organisations have one person or fewer responsible for managing data protection compliance (ICO Data Controller Study 2024). Most organisations running AI tools have less clarity still about the data those tools are accessing. The knowledge retrieval work begins with a source review: which documents are in scope, who holds permissions, what personal data they contain, and what the UK GDPR position is for that specific use case.

    Knowledge retrieval, also called RAG (Retrieval-Augmented Generation), is a system that answers questions using your organisation's own documents rather than a model's general training data. Where processing personal data carries significant risk, a Data Protection Impact Assessment (DPIA) is documented. For ongoing data work, this connects to Data Preparation & Advisory and AI Ethics & Governance.

    For board-ready ROI reporting, our AI Impact & ROI Auditing service provides the independent measurement and documentation that investment decisions require.

    AI tools running but no one owns them?

    Book a free discovery call. We will talk through where your organisation stands, which workflows have no owner, and whether a monthly retainer would give you the delivery structure you need.

    Book a free discovery call