Pricing

Pick how much we own after it works.

Start with a $997 diagnosis, hand us the daily running, or give us a whole function. Each tier is priced against the hire it replaces — never a tool.

Tier 1
AI Audit
Know exactly what to build, in order.
We x-ray your stack, your workflows, and your bottlenecks, then hand you a prioritised build plan. The $997 comes off month 1 if you start AI Operations within 30 days.
$997 once
Book the audit
Full stack and workflow audit
45-minute recorded working call
AI Opportunity Map and 90-day roadmap
What to cancel, what to keep
Tier 2
AI Operations
We build it, run it, keep it alive.
Everything in the Audit, then a new system live roughly every 1–2 weeks — and we run everything already live, daily. You never touch a tool.
$2,497$1,997/mo
Founding rate — first 12 clients
Start AI Operations
Everything in Audit, plus
A new system live every 1–2 weeks
We run everything already live, daily
Weekly email: what ran, what changed
All maintenance included
Tier 3
AI Transformation
We rebuild a whole function — or become your AI department.
For going all-in. A fixed 6-week Sprint that transforms one function, or an ongoing Embedded partner that runs your whole operation. We take only two Sprints a month.
from $15,000
Apply for transformation
Everything in AI Operations, plus
Sprint — one function in 6 weeks, $15k–$50k by scope
Embedded — your whole operation, from $7,500/mo
Deep discovery and process mapping
6–10 systems built as one pipeline
Prefer to keep it in-house and just direct someone?

Place a Certified AI Implementer on your team — pre-trained by the team behind the Guinness World Record, so you skip the part where you train them. Starting from $1k/mo part-time, or $2k/mo full-time.

Hire an implementer →
Try it for a weekNot loving it after a week? Get 75% back, no questions asked.
Cancel or pause anytimeNo contracts, no lock-in. First system usually live in ~3 days.
Your tools, not oursWe build into the stack you already run — no forced migration.

Still deciding? Message me on Instagram, Facebook, or LinkedIn — happy to point you to the right fit.

Full comparison

Everything, side by side.

The difference between tiers isn't how much you get — it's who owns the outcome, and how the work gets measured.

AI Audit$997 once AI Operations$1,997/mo Sprint$15k–$50k Embeddedfrom $7,500/mo Placementfrom $1k–$2k/mo
You're buyingA diagnosisA done-for-you serviceA transformation projectAn AI departmentA trained person
Owns the resultYouUsUsUsYou
Directs the workYouUsUsUsYou
How work's measuredOne diagnosis, one planA new system every 1–2 weeks, all kept runningA fixed 6-week plan, week by weekScope set each quarterTheir hours, you direct
Operated byYouUs, dailyUs, then you after handoverUs, end-to-endYou
Maintenance—All includedThrough handoverProactiveYou direct
ReportingThe deliverableWeekly emailWeekly, plus a final reportWeekly, plus quarterly reviewTo you
First result livePlan in 3 days~3 daysFunction live in weeks 4–6~3 days, then builds outYou set the pace
CommitmentOne-timeCancel or pause anytimeFixed 6 weeks3-month minimumNo minimum
Risk reversalRefund if it's not worth 10×75% back in week 150% back in the first 2 weeksMonth 1, 50% back if it's not landingFree replacement
Where it stopsThe plan, not the buildBounded systems only — bigger builds move up a tierOne function, 6 weeksThe ceiling — still not a full-time hireWe vouch for training, not the outcome

$1,997 versus $2,000. For about the same money you can manage a person yourself — or have us own the entire outcome. Most founders pick us.

The ROI

What "figure it out yourself" actually costs.

Learning the tools runs six hours a day for the better part of a week — before you've built anything. A "vibe-coded" prototype takes a day or two; getting one system production-ready takes weeks of tinkering. And once it's live, it still needs you — every week. Move the slider.

$150/hr

Running and maintaining it yourself — building, fixing, re-prompting, keeping it alive — eats 10–15 hours a week. We'll use 12.

Your time$150/hr
×
Per week12hrs
=
You're losing$7,800/mo

We build and run it all for $1,997/mo. That's a:

3.9× return

…before we do a single thing you'd call strategic.

The details, pinned down.

The words behind the pricing — "system", "bounded", "Sprint" — in plain English, plus the logic behind every number. If you're scrutinising, start here.

What exactly is "a system"?
One trigger, one job of AI judgment, one delivered result — wired into a tool you already use. The test: if it fits the sentence "when X happens, AI does one job and delivers one result into your tool," it's one system. A carousel agent, a weekly newsletter draft, a Monday ad-spend report — each is one system.
Why can't I just use ChatGPT myself?
You can — and you'll have a chat window, not a system. ChatGPT waits for you to open it, prompt it, check it, and paste the result wherever it needs to go. That's you, operating a tool, every day. What we build runs without you: it triggers itself, pulls from and writes back to your tools, delivers the result where it belongs, and a person on our team catches it when it's wrong. ChatGPT is the engine — we build the car around it and drive it. You already have access to AI; what you don't have is someone making it run.
What does "a new system live every 1–2 weeks" really mean?
It's the building rhythm on AI Operations. The first system is usually live in about 3 days; after that we ship a new one roughly every one to two weeks while you have a queue, and we keep everything already live running the whole time. It's build capacity, not a quota you have to fill — most founders want 8–15 systems, and then the work shifts to running and improving them.
What makes a system "bounded" — and when does it stop being one?
Bounded means a single trigger-to-output loop: one trigger, one output, one or two tools, no database or dashboard built from scratch, and we can scope it without a discovery phase. The moment it needs several systems handing off as one pipeline, a custom dashboard or data store, or discovery before we can even scope it — it's no longer bounded. That's a Transformation.
A Sprint is "6–10 systems as one" — what are they?
Every bounded system one function needs, built and then wired together into a single pipeline. For leads and sales that's instant lead response, a voice agent, booking, follow-up, CRM enrichment, outbound, deal scoring and reporting — eight systems, integrated so a lead flows through all of them automatically. The exact list is set in the Sprint's first week.
How is a Sprint different from just queuing those systems on AI Operations?
Integration and speed. On AI Operations you'd get those systems one at a time, each standalone, over a few months. A Sprint builds the whole function and wires it into one pipeline — shared data, automatic handoffs — in six weeks. Same parts; you're paying for the integration and the compressed timeline.
Why is a Sprint $15k–$50k, and why only two a month?
A Sprint is the deepest work we do — full discovery, process mapping, building and integrating a whole function, training your team, and handover, all in six weeks. The range tracks scope: how many systems, how many tools, how tangled the current process is. We take only two a month because each one is a serious time commitment from our most senior people, and overbooking would dilute it.
Why is the Audit paid instead of a free call — and what happens to the $997?
A free call attracts tyre-kickers; a paid diagnosis attracts people serious about fixing the problem, and it means we do real work before we meet, so the call is substance, not discovery. If you start AI Operations within 30 days, the full $997 comes off your first month — so continuing costs you nothing. Either way, you keep the plan.
AI Operations and a full-time Implementer are both about $2k a month — what's the difference?
Who owns the outcome. With AI Operations we own it: we build, run and answer for the systems, and you never touch a tool. With a Placement you own it: you get a trained person who takes your direction, and you manage the work. Same rough price, opposite amount of effort on your side. Most founders want the outcome, not another person to manage.
Sprint or Embedded — which Transformation is mine?
A Sprint is a fixed project: one function, six weeks, then it's yours to run on the SOPs we leave behind. Embedded is ongoing: a partner who runs and keeps evolving your whole operation, month after month. Choose Sprint to transform one thing fast; choose Embedded to hand over a whole function for good.
What's a Certified AI Implementer, and how is that different from a VA?
A person we've trained and certified on the exact systems we build, placed onto your team. The difference from a raw VA is the training — you skip teaching someone the tools and re-teaching them every time something changes. We vouch for their training; you direct their work.
Why is it monthly — why can't I pay once and be done?
Because AI doesn't stay still. Models update, tools change their APIs, integrations drift, and your business moves. A one-time build works for a while and then quietly stops. The monthly keeps everything running, current and improving — you're paying for it to keep working, not for a file.
Can I start small and move up later?
Yes, and most people do. Start with the Audit to see how we think, move to AI Operations when you want the work off your plate, step up to a Transformation when you're ready to hand over a whole function. Upgrade, downgrade or pause anytime — no lock-in.

The best hire you'll make this year is still a person. (Us.)

We build your AI and run it ourselves — you describe the outcome, we own the result.

See plans → Book a 15-min call