Your AI Partner, on subscription

Put AI to work in your business, without hiring a tech team.

AI raised the floor. I raise the ceiling.

Three offers, one path. Start with a Roadmap to find where AI saves you time or makes you money, then move to Build to ship it or Run to keep it running.

If the Roadmap doesn't surface at least $16,000 in opportunity you can act on, it's free, and you keep the working prototype either way.

Let's build together
  1. Start here

    Roadmap

    Where AI saves time. Where it makes money.

    What you get

    • AI Opportunity Map

      Ranked workflows, ROI estimates, and a sequenced build plan.

      Value $15,000

    • Working Prototype

      One real AI workflow built and tested with your team.

      Value $6,000

    Each value is what that piece would cost as a standalone engagement at typical senior-consulting rates.

    The 2 weeks of a Roadmap

    1. Access & intake

      We align and get started.

    2. Interviews & opportunity mapping

      Baseline and uncover AI opportunities.

    3. ROI sizing, prototype & handoff

      Prototype, prioritize, and hand off.

  2. Then, for hands-on work

    Build

    Senior hands shipping production automation, one task at a time.

    What you get

    • Senior engineering delivery

      Production work shipped into your stack, two to four tasks a month.

      Value $15,000 / mo

    • AI architecture and technical judgment

      What to build and how to build it right, at scale.

      Value $5,000 / mo

    Each value is what that capability would cost as a standalone hire or engagement each month.

    How Build runs · 3 steps

    1. Subscribe and get your board

      Pick the plan, sign up, and within 1 business day you get your Build board. The Roadmap backlog you came in with seeds the queue.

    2. Queue the work

      Drop tasks into the queue from the Roadmap backlog or anything new that comes up. One active task per client, the rest waiting in line.

    3. I deliver in production

      Work ships into your stack, not a slide deck. When the current task is live, the next one pulls from the queue.

  3. Or, to monitor usage and keep your team leveling up

    Run

    See and steer what your team is doing with AI.

    What you get

    • Coaching driven by your usage data

      Sessions targeted at what your team's Claude usage shows.

      Value $3,000 / mo

    • Governance and visibility, maintained

      Guardrails kept current, with a plain quarterly report on what's paying off.

      Value $5,500 / mo

    Each value is what that piece would cost as a standalone engagement each month.

    How Run runs · 4 steps

    1. Subscribe

      Pick the plan and sign up. We do a brief intake call so I understand your team and tools.

    2. Admin access and standards

      I get visibility into your team's Claude usage. We agree on guardrails, standards, and what good looks like.

    3. Coaching driven by your usage

      Monthly sessions targeted at what your usage data shows. Real interventions, not generic training.

    4. Quarterly status report

      Where AI is paying off, where adoption stalled, and what to fix next. Written so a non-technical owner can act on it.

What you're really comparing this against

You were never going to hire a $200,000 head of AI. Your real options are to do nothing and let your team poke at AI tools between tasks, or hire a freelancer for $3,000 to $5,000 a month and hope you can tell good AI work from bad. The freelancer is the real trap, because if you're not technical you can't direct or judge one, and that's the whole reason you're here. WorkHoodie puts the judgment first. It tells you what's worth building, sized against your own numbers, before anyone writes a line of code. Senior judgment on subscription, no payroll or headcount risk.

Frequently Asked Questions

We don't have an internal AI lead. Does that matter?
That's exactly who this is built for. Most of the companies I work with don't have someone internal who can own AI, and they don't want to fake it with a junior person on the side. The whole point of working with me is that you get senior AI judgment in the business without making the hire. I sit in the seat your head of AI would sit in, on subscription, and your team gets the answers and the shipped work without you having to evaluate a candidate you can't really evaluate.
We bought a bunch of AI tools and got noise. Why is this different?
Tools without a system get you noise. Every company I talk to has a graveyard of subscriptions nobody adopted. The Roadmap is the system. Two weeks of mapping where AI actually saves time or makes money in your specific business, ranked in rough dollars and sequenced by what to build first. Build is where that plan gets shipped into production. Run keeps the team actually using what got shipped. The tools were never the problem. The judgment about which ones, in which order, wired into which workflow, was.
Do we have to hire a head of AI to take this seriously?
No, and this is the alternative to that hire. A head of AI runs roughly $200K all-in, takes months to recruit, and is genuinely hard to evaluate when you don't have an AI background yourself. You'd be betting a senior comp line on a hire you can't sanity-check. Working with me costs a fraction of that and ships now, with someone who has already built systems that can't fail at companies like Mastercard and Dapper Labs. When you're ready to make AI a permanent in-house function, I help you hire the right person and hand off everything I've been doing.
Will this work for a services business?
Yes. Services, operations, agency, staffing, and back-office-heavy businesses are the right fit, not the exception. The signal I'm looking for is a people-and-process company with real revenue and real competitive pressure showing up around AI. If your competitors are starting to move on AI and you can feel the gap widening, that's the trigger. Engineering-heavy startups with their own technical leadership are usually a worse fit, because they need hands, not a brain.
How do Roadmap, Build, and Run fit together?
Roadmap is the front door. Two weeks, flat rate, ending with a prioritized opportunity map, ROI sized against your own numbers, one lightweight working prototype, and a sequenced plan for what to build first, handed off so your team can act on it. Find-It-or-Free is attached: it identifies at least $16,000 in quantified opportunity, or it's free. Build is the hands-on monthly where that plan gets shipped into production, one active task at a time. Run is the scalable monthly that keeps the team using what got shipped, with governance, admin of team AI access, and coaching driven by your team's actual Claude usage data. Start with a Roadmap, then move to Build or Run. Some clients run on both.
What does the Roadmap actually produce?
A prioritized opportunity map across every part of your business, with each workflow examined for where AI saves time or makes money. ROI sized against your own numbers, not industry averages. One lightweight working prototype, a prompt, an agent, or a single workflow, built during the engagement so you see a real AI win and not just a deck. A clear sequence for what to build first and what to skip, with the reasoning behind every rank written so your team can act on it. The whole thing is handed off so you can run with it, in or out of a Build engagement. The work is done by someone who built payment systems that couldn't fail at Mastercard and scaled the platform team that ran $1B+ in transactions at Dapper Labs, so the prioritization comes from someone who has actually shipped at scale. Find-It-or-Free is attached: in two weeks the Roadmap identifies at least $16,000 in quantified opportunity, reviewed and agreed with you, or the Roadmap is free.
What's inside the AI Opportunity Map?
Every workflow in your business ranked for where AI saves time or makes money, sized against your own numbers and sequenced by what to build first. It also includes two things most assessments leave out: a ready-to-adopt AI usage policy your team can put in place on day one, and a shortlist of the AI tools that actually fit your business, plus the longer list of what to skip so you stop paying for subscriptions nobody adopts.
What happens after the two weeks are up?
The map and the working prototype are yours to keep, whether or not you continue with me. You also get 30 days of board and email access after delivery, so the plan doesn't stall the first time a question comes up or something needs a small adjustment. If you move into Build, that backlog seeds the queue and we keep going. If you don't, you still walk away with a prioritized plan your team can act on.
What if we want to bring the work in-house later?
That's part of the design. When you're ready to make AI a permanent in-house function, I help you hire the right person and transition everything I've been doing to them. Run is built for the companies that aren't ready, or don't want, to manage this in-house themselves. The handoff is part of the engagement, not an exit fee.
Can I cancel Build or Run anytime?
Yes. Build and Run are both month-to-month. Cancel before the next billing cycle and you're done. Everything I built for you while you were subscribed stays with you, owned by you. Roadmap is a flat-rate 2-week engagement, so cancellation works differently. If you need to pause partway through, we work it out.
What if I'm not technical and can't evaluate the work?
That's what Run is built for. The non-technical owner gets monthly coaching targeted at what your team's actual Claude usage shows, plus a quarterly status report written in business terms. The real answer to 'what is my team doing with AI and is any of it working' comes back in plain language, not a screenshot of a dashboard. On Build, there's also the Payback Guarantee: within 90 days something I've shipped is delivering savings that cover its own monthly fee on a forward run-rate, or I keep building at no extra fee until it does. The metric and the baseline get agreed in writing before Build starts, so the success criteria are something you can read, not something you have to be technical to judge.

How the guarantees work.

Both guarantees ride on the same five conditions, agreed up front and written into the client agreement.

  • Find-It-or-Free Guarantee

    In two weeks the Roadmap identifies at least $16,000 in quantified opportunity, reviewed and agreed with you. If we don't get there, the Roadmap is free. The working prototype is yours either way.

  • Payback Guarantee

    Within 90 days, something I've shipped is delivering savings that cover its own monthly fee going forward. If it isn't, I keep building at no additional charge until it does. The metric and baseline are agreed in writing before Build starts.

The five conditions behind both

  1. We agree on the metric, the baseline, and how we measure it, in writing, before Build starts.
  2. Your team completes the agreed adoption steps and provides the access the work needs. This gates both guarantees.
  3. If the Build guarantee triggers, continued work is capped to a defined window, not open-ended.
  4. Remedies differ by offer. Roadmap: if it misses $16,000, the Roadmap fee is refunded. Build: the remedy is continued work at no charge, never a cash refund.
  5. The Roadmap number is quantified opportunity you review and agree to, not a figure asserted at you.

Full terms live in the client agreement. This is the working version.

Ready to put AI to work?

Tell me where you're stuck. I'll tell you if it's Roadmap, Build, Run, or "not yet."

Selective by design. Three active Build clients at a time; the rest join a short queue.

Let's build together