Pricing

Scoped to the next step, not a big upfront bet.

Four ways to work together, with the ranges published. Governance is built into what you buy, not sold on top of it.

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The offers

Start small. Grow from there.

  • the Briefing

    $1,250

    90 minutes

    Three answers, in writing.

    See the Briefing

  • AI Readiness & Governance Audit

    From $7,500

    2 to 3 weeks

    What is safe to build, and what to build first.

    See what is included

  • Governed AI Deployment + Compliance Evidence

    $25K to $75K

    6 to 10 weeks

    The governed system, deployed in your cloud.

    See what is included

  • Fractional Chief AI Officer (CAIO) / AI strategist

    From $8K per month

    Ongoing, monthly

    Senior ownership of your AI, month to month.

    See what is included

Running a smaller team? The AI Opportunity Snapshot is a shorter, productized version of this for solo owners and small teams.

Prices are published so you can work out whether this is worth a conversation before you have one.

Assess, build, embed

Each step earns the next. You start where it makes sense, and nothing further is bought until the value is clear.

Step zero

AI Leverage Briefing

90 minutes. Three answers. $1,250.

100% of the briefing fee credits toward the Audit within 60 days.

$1,250 You pay for the briefing $1,250 Credited to the audit $6,250 Due on the core audit, normally $7,500

Book the audit within 60 days and the briefing costs you nothing.

See the Briefing

Most common first step

Assess

AI Readiness & Governance Audit

A senior read on where AI creates real leverage, what is safe to deploy now, and the governance gaps to close first.

What the audit includes Show less

You leave with a prioritized roadmap and a risk register you own.

The roadmap also names what to stop: recurring work your team should no longer be doing by hand, which is time you recover whether or not you build anything.

Best for leaders who need to know what is safe to build before spending on it.

  • The Prioritized 90-Day Roadmap What to build first, and why it comes before the rest.
  • The Risk Register What could go wrong, written down and yours to keep.
  • The Governance and Compliance Gap Assessment What to close before anything gets deployed.
  • The Safe-to-Deploy Read What is safe to put into production now, and what is not yet.

Use them in that order.

The roadmap says what to build first; the register says what to guard while you build it.

Both are written so your own team, or another firm, could execute from them without us.

Both are written to be taken upward as they are.

The roadmap is specific enough for your board.

The Regulated scope is built for where a regulator, an examiner, or an external auditor reads the output.

2 to 3 weeks

In under 3 weeks you know what is safe to build.

What we need from you A few hours of your team's time across two to three weeks, aimed at the hours your team could stop spending every week. We do the rest.

The roadmap prioritizes exactly what the build would deploy first, so nothing gets re-scoped if you go forward.

What happens after you book

The first days, in order, so none of this is a surprise.

  1. Within one business day

    Your scope is settled, in writing.

    You hear back from Mark directly, not from a queue.

    Which scope applies, Core or Regulated, is agreed in writing before any work begins, and the working sessions go in the calendar.

  2. In the first sessions

    The work starts where your team is.

    The sessions ask a few hours of your team's time in total, spread across two to three weeks.

    Everything between them is our work, not yours.

  3. By the end, two to three weeks in

    You own the roadmap and the risk register.

    The prioritized 90-day roadmap, the risk register, and the governance and compliance gap analysis, written and handed over.

    They are yours either way, whether or not you go on to build anything.

Not ready for the audit? Run the free assessment first.

What happens after the audit

When the audit shows what is worth building, these are the next steps, taken in order. You take them when you are ready, not before.

  1. Build

    Governed AI Deployment + Compliance Evidence

    We stand up the agents your audit identified, governed from day one and built to our governed deployment pattern (Command Center).

    What is included Show less

    Evidence capture, encryption, and remediation ship with the deployment, so you can prove what the system did and why.

    Best for teams ready to deploy governed AI, not just talk about it.

    • A governed agent deployment in your own cloud account
    • The agents your audit prioritized, governed from day one
    • Permissioning, approval gates, and audit logging built in
    • Encrypted, audit-ready trails captured as the system runs

    Your audit and risk teams get dated artifacts they can hand to a reviewer instead of a reconstruction.

    6 to 10 weeks

    The base system stands up within days of the assessment. In about two months you have the full governed deployment in production, with audit-ready evidence.

    What we need from you Access to your cloud account, the priorities from your audit, and a named approver for high-risk actions.

    Your build price is fixed in the audit roadmap. Every project is quoted fixed-fee, never time and materials.

    The system is designed to be run, by your team or with ongoing senior ownership.

    One governed system you own, with audit-ready evidence built in, instead of a pile of disconnected tools.

    Starting range

    $25K to $75K Per project

    What ships today, and what it costs to run Show less

    What ships today The base system stands up in your cloud within days of the assessment.The full governed deployment lands on the timeline above.What you buy is a deployment we build into your cloud and you own, not a license to finished software.The packaged product layer on top of that pattern is still being built, and nothing on the roadmap is billed as delivered.

    After launch you run it in your own cloud.

    Ongoing cost is your cloud and model usage, paid directly at cost with no markup.

    There is no separate platform or license fee, and the Fractional retainer is optional.

    See how we work
  2. Embed

    Fractional Chief AI Officer (CAIO) / AI strategist

    Ongoing senior ownership of your AI direction.

    What is included Show less

    I keep the system governed, maintained, and expanding, and stay accountable for the outcomes.

    Best for organizations that need senior AI ownership without a full-time hire.

    • Ongoing senior ownership of your AI and technology direction
    • The governed system kept maintained and expanding
    • A single accountable owner for AI outcomes
    • A monthly working cadence with your team

    Ongoing, monthly

    What we need from you No full-time hire, no equity commitment.

    Founder-led means I take a maximum of three Embedded or Full engagements at a time.

    Starting range

    $8K to $22K Per month

    Hiring a full-time CTO costs $250K and up per year before overhead.

    This is senior AI ownership on tap instead, scaled to what you need.

    Compare with hiring a full-time CTO

    See the three retainer levels

    • Advisory

      Strategic direction and governance oversight on a set monthly cadence.

      Includes roadmap ownership and decision support.

      Does not include hands-on build or day-to-day operations.

      $8K to $12K per month

    • Embedded

      Advisory plus hands-on involvement in your build and operating cadence.

      Includes system maintenance and active expansion.

      Does not include full-time availability.

      $12K to $17K per month

    • Full

      Senior ownership at the widest scope: direction, build, operations, and accountability for outcomes.

      Includes priority availability.

      Does not include a full-time employment or equity commitment.

      $17K to $22K per month

Parallel track, available at any stage

Enable

Claude & Codex Enablement

Get your team genuinely productive with Claude, Codex (an AI coding assistant), and the modern AI stack: workflow design, guardrails, hands-on training, and reusable playbooks your people keep using after we are done.

Best for teams that want to use Claude and Codex well, with guardrails that stick.

  • Workflow design for Claude, Codex, and the modern AI stack
  • Guardrails that fit how your team actually works
  • Hands-on training for your people
  • Reusable playbooks your team keeps after we are done

Weeks, not a one-off

Starting range

$8K to $25K Per engagement

Your team productive on the modern AI stack in weeks, with guardrails that stick, not a one-off training they forget.

Prioritize your automations

See how the engagement works

An illustrative example

What a full first year actually adds up to.

Ranges are honest, and on their own they are hard to plan against.

So here is one path through the ladder with the arithmetic shown.

Take a mid-size specialty clinic that wants intake and records work governed before it touches anything clinical. They start with the briefing, and this is what the published prices come to.

Where a first year goes, at the low end of every published range
  • Audit 7%
  • Build 24%
  • Retainer, 9 months 69%

The audit is the smallest part of the year, and it is the part that decides whether the rest is worth buying.

Audit scope
Retainer level

Moves the illustrative total below. Still not a quote.

Illustrative example, not a quote

  1. AI Leverage Briefing 90 minutes, paid up front $1,250
  2. Briefing credit Credited in full against the audit, within 60 days - $1,250
  3. AI Readiness & Governance Audit Core at $7,500, Regulated at $12,000 $7,500 to $12,000
  4. Governed AI Deployment + Compliance Evidence 6 to 10 weeks, one-time project, fixed fee $25,000 to $75,000
  5. Fractional Chief AI Officer (CAIO) / AI strategist, Advisory level 9 months of year one, at $8,000 to $12,000 per month $72,000 to $108,000

First year total $104,500 to $195,000

The briefing nets to zero on this path, because it is paid and then credited in full against the audit. A buyer who takes the briefing and stops there pays $1,250 and nothing else.

For a sense of scale: a full-time CTO runs $250K and up per year before overhead, and that buys leadership, not a built system.

The illustrative first year here covers the briefing, the audit, the build, and nine months of senior ownership. At the top of the published ranges it still comes in under that figure.

What this figure assumes Show less
  • The figures are the published starting ranges added together. They are not a quote, and no engagement has been priced from this page.
  • Cloud and model usage sits on top and is paid directly to those providers at cost, with no markup. It is usage-based, so it depends on your volumes rather than on us.
  • Where you land inside each range is confirmed in the audit, in writing, before any build work starts.
  • Plenty of organizations stop after step one. That is a legitimate end point, not a failed engagement.

Which model fits

The engagement models, side by side.

Each is the wrong purchase for some organizations. The last row says when.

The audit, the governed build, and the fractional retainer compared on starting range, timeframe, what is needed from the client, and when each is the right or the wrong choice.
Dimension Assess AI Readiness & Governance Audit Build Governed AI Deployment + Compliance Evidence Embed Fractional Chief AI Officer (CAIO) / AI strategist
Price $7,500 or $12,000, one-time, by scope$25K to $75K, project$8K to $22K, per month
Timeframe 2 to 3 weeks6 to 10 weeksOngoing, monthly
What we need from you A few hours of your team's time across two to three weeks, aimed at the hours your team could stop spending every week. We do the rest.Access to your cloud account, the priorities from your audit, and a named approver for high-risk actions.No full-time hire, no equity commitment.
Right when Leaders who need to know what is safe to build before spending on it.Teams ready to deploy governed AI, not just talk about it.Organizations that need senior AI ownership without a full-time hire.
Wrong when You already hold a prioritized roadmap you trust and a risk register you would put in front of a regulator. Then this is a second opinion, not a necessity.The audit finds that the highest-value work is a process or a data problem. Automating it would only make the wrong process faster, and that gets fixed first.You already have a technology leader who owns AI direction and is accountable for it. A second owner splits accountability rather than adding any.
  • Assess

    AI Readiness & Governance Audit

    Price
    $7,500 or $12,000, one-time, by scope
    Timeframe
    2 to 3 weeks
    What we need from you
    A few hours of your team's time across two to three weeks, aimed at the hours your team could stop spending every week. We do the rest.
    Right when
    Leaders who need to know what is safe to build before spending on it.
    Wrong when
    You already hold a prioritized roadmap you trust and a risk register you would put in front of a regulator. Then this is a second opinion, not a necessity.
  • Build

    Governed AI Deployment + Compliance Evidence

    Price
    $25K to $75K, project
    Timeframe
    6 to 10 weeks
    What we need from you
    Access to your cloud account, the priorities from your audit, and a named approver for high-risk actions.
    Right when
    Teams ready to deploy governed AI, not just talk about it.
    Wrong when
    The audit finds that the highest-value work is a process or a data problem. Automating it would only make the wrong process faster, and that gets fixed first.
  • Embed

    Fractional Chief AI Officer (CAIO) / AI strategist

    Price
    $8K to $22K, per month
    Timeframe
    Ongoing, monthly
    What we need from you
    No full-time hire, no equity commitment.
    Right when
    Organizations that need senior AI ownership without a full-time hire.
    Wrong when
    You already have a technology leader who owns AI direction and is accountable for it. A second owner splits accountability rather than adding any.

Claude and Codex Enablement runs alongside these rather than competing with them, which is why it is not a column here.

Before you ask

The questions that come up at this point.

  • Is this the same as a fractional Chief AI Officer?

    This role is often called a fractional Chief AI Officer (CAIO) or AI strategist.

  • Why is every figure a range instead of a price?

    Because the work is scoped to your environment, and a fixed number quoted before anyone has seen it would be a guess wearing the clothes of a commitment. The range is the honest boundary. Where you land inside it is set during the audit, in writing, before any build work starts.

  • What decides where in the range we land?

    Three things. How many systems the work has to touch, how much of your data is already in a usable state, and how much evidence your auditors and regulators expect. One governed workflow in a clean environment sits near the bottom of a range. Several workflows across systems that do not talk to each other sits near the top.

  • Can we stop after the audit?

    Yes, and some organizations should. You own the prioritized roadmap and the risk register either way, and both are written so that your own team, or another firm, could execute them without us. Stopping is a real option, not a threat to the engagement.

  • What if the audit says do not build?

    Then it says so, and you have saved the build budget. An audit that can only ever recommend the next purchase is a sales document. Recommending a smaller build, a later one, or none at all is a normal outcome here.

  • Am I buying software or a service?

    A service that leaves you owning a deployed system. It runs in your own cloud account, and the audit trails and evidence it captures are yours. Command Center is the name of the governed pattern we build to. The packaged product on top of that pattern is still in development, so it is not part of what you are quoted.

  • What does it cost to run after the build is finished?

    Your cloud and model usage, paid directly to those providers at cost with no markup, plus an optional Fractional retainer if you want senior ownership to continue. There is no separate platform fee and no license fee.

  • Do we have to commit to a long contract?

    No. The audit is a one-time engagement, the build is a project, and the retainer is monthly. There is no full-time hire, no equity, and no multi-year minimum. Each step is bought once the previous one has earned it.

  • We are a small team, not an enterprise. Is there a smaller starting point?

    Yes, and it sits deliberately beside this ladder rather than under it. The AI Opportunity Snapshot is a short, productized version of the assessment for solo owners and small teams. It is a different lane with a different scope, not a discounted audit.

Running a small team rather than an enterprise? The AI Opportunity Snapshot is a separate, much smaller lane for solo owners and small teams.

What you are protected on

What stays true whichever step you buy.

  • You own the deployed system
  • A human approves what matters
  • Audit-ready evidence, built in
  • It stays yours if the retainer ends
  • The audit is guaranteed

Start with an assessment. Grow from there.

A twenty minute intro call, not a pitch. A clear read on where you stand and what is worth doing next, whether or not we work together.

IntellaGrow is founder-led. I take a limited number of engagements at a time, so every client works directly with me.

Book an intro call

If AI is not the right tool for your problem, you will hear that from us.

Just have a question? Call, text, chat, or send a note.