Case Studies · Texas Results

Texas Businesses That Stopped Renting Their AI

The argument for owning your AI is simple math and plain privacy — but it lands harder when you can see it play out for a business like yours. Below are two scenarios, drawn straight from the kind of switches we build across Houston and Fort Bend County. We're publishing our first client results soon; until then, these are clearly marked as illustrative.

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A note on what you're reading: the two studies below are illustrative examples, not published client results. They show what a typical Texas switch looks like — the figures are representative and clearly flagged. Real, named client results will replace them as our first engagements wrap up.
Illustrative example

A Houston law office replaced a per-seat cloud AI tool with an owned AI server

The situation
A 12-seat firm was paying a monthly per-seat subscription for a cloud AI tool — a bill that climbed with every new hire. Worse, the partners were uneasy about client documents leaving the building to be processed on someone else's servers. (Illustrative scenario.)
What we built
A single Business-tier AI server running a private model, sized to the firm and installed in their own office. No subscription, no data leaving the network.
The switch
An on-site install plus a half-day training session, connected to their existing document system. See how that process runs on our How It Works page.
The numbers
Twelve seats at about $25/month runs roughly $3,600 a year — near $10,800 over three years, and it never stops. A Business-tier server is a one-time cost that ends the subscription and keeps privileged documents in-building — which, for a law firm, is the real driver: industry research finds 44% of companies name data privacy as their #1 barrier to AI. (Per-seat figure is current market pricing; this firm is an illustrative scenario.)
In their words
A client quote will appear here once a real engagement is published. We don't fabricate testimonials.
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Illustrative example

A Fort Bend County services company automated document intake on a server it owns

The situation
Manual document intake was eating staff hours every week, and management was reluctant to push customer records to a cloud automation vendor. They wanted the speed without handing their records to a third party. (Illustrative scenario.)
What we built
A Starter-tier server running private document automation, installed on-site in Richmond and connected to their existing intake folders.
The switch
On-site setup, two staff trained, wired into the folders they already used — no new workflow to learn. The same build process applies to any pillar.
The numbers
The recurring cloud automation fee is avoided entirely, and the server's ongoing cost is mostly the power bill — published analysis puts on-prem running cost around $8–$127 a month versus per-token cloud metering. A Starter-tier build keeps customer records on the LAN the whole time. (Operating-cost range is from published research; this company is an illustrative scenario.)
In their words
A client quote will appear here once a real engagement is published. We don't put words in anyone's mouth.
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Want to see real builds we've shipped? Browse our portfolio of completed work — and when our first client results are published, they'll live right here on this page.

What the data says

The scenarios above are illustrative — but the case for owning your AI rests on real, published research. These are industry figures, not TIS client results.

44%

of companies name data privacy as their #1 barrier to adopting AI — every prompt to a public model is a copy you don't control.

57.6%

of generative-AI infrastructure revenue went to private / on-prem in 2025, with healthcare the fastest-growing segment (17.9% CAGR).

~90%

of organizations now use AI regularly, and roughly a third are redesigning core processes around it (McKinsey, 2025).

6–24 mo

typical on-prem break-even for steady "sweet-spot" usage (10–50M tokens/month) versus premium cloud AI APIs.

Sources: arXiv 2509.18101 (on-prem break-even); Data Bridge Market Research (private-AI infrastructure market); McKinsey State of AI 2025; published industry analysis. External references — not TIS engagements.

Your story could be the first one we publish

Tell us what you want your AI to do, and we'll scope a private server you own outright — built and supported on-site, right here in Texas. No monthly-fee pitch.

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