Cloud AI vs. owned AI: a 3-year cost comparison

When an owner asks us "why wouldn't I just subscribe?", we don't answer with philosophy. We answer with a three-year total, because three years is long enough for subscription math to show its shape and short enough to plan around. Here is that comparison for a concrete case, every assumption visible, including the scenarios where the subscription honestly wins.

The test case

A ten-person office. A clinic, a law office, a contractor's front office, take your pick. It wants two things: the phone answered reliably (including lunch and after hours) and follow-up done (reminders, unpaid invoices, unreturned paperwork). Roughly 500 inbound calls a month. Everyone on staff uses AI assistance for drafting and questions.

Path one: the lease (cloud subscriptions)

To cover those jobs with cloud products, you'd realistically stack:

Over 36 months: $30,960, if nothing changes. Two things usually change. Head count: seats are priced per person, so two hires add ~$720/year, forever. And the terms themselves: prices, tiers, and the products' own capabilities all move at the vendors' discretion. Budget the drift or at least name it.

What you hold at month 36: working tools (if the vendors still offer them), your data in export formats, and a renewal invoice.

Path two: the deed (owned)

The same two jobs as a Freehold-style build, numbers from our published pricing, middle of the ranges:

What you hold at month 36: the server (yours), the model files (yours, still working), every call transcript and customer record (in your building), and a system that keeps operating even if you cancel the care plan or your vendor, us, disappears.

Same money, different position

The totals land within a rounding error of each other. That's not an accident of our pricing; it's the point. The real difference is the shape of the two curves:

• The lease is flat-ish and endless. Years 4, 5, 6 cost the same as year 1 or more. Per-seat pricing taxes growth. You are always one policy email away from new terms.
• The deed is front-loaded and then falls. After the build, the mandatory spend is electricity. Even keeping the full care plan, years 4–6 run ~$5,600/year against the lease's ~$10,300 at the same head count, and the gap widens with every hire.

Where cloud honestly wins

Run the same math with different inputs and the subscription takes it:

• Tiny teams. At 2–3 people with light call volume, $100–$200/month of subscriptions beats a five-figure build for years. Own later, when the seat math turns.
• Frontier-grade work. If your business's edge is deep research, complex analysis, or heavy coding, the biggest cloud models are simply better at it today. Rent that; it's cheap for what it is.
• No one to hold the keys. Ownership includes stewardship. If neither you nor anyone you pay will own updates and backups, a reputable business-tier cloud account with retention turned off is the responsible choice.

The line items that aren't dollars

Three entries never make the spreadsheet but decide more than it does. Where the data lives: on the lease, your customers' information sits on vendors' servers under revisable terms; on the deed, it's behind your own locks, which is decisive if you carry HIPAA, privilege, or financial-confidentiality duties. What survives the vendor: subscriptions end when vendors do; owned systems don't. And who the growth tax falls on: per-seat pricing means your hiring plan is also your software vendor's revenue plan.

Run it for your own shop: your call volume, your seat count, your growth. That's the first thing a blueprint does. And if your inputs say "keep renting for now," a straight answer is cheaper than a wrong build.