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.

Start My Success Story See Our Work

Client engagement Anonymised Last verified 2026-08-21

A Texas law firm cut first-pass deposition summaries from days to hours

The situation: After a document production lands, someone has to read it and produce the first pass — a deposition summary or digest, or a draft response. It is slow, it is unavoidable, and it arrives on a deadline.
What we built: A private AI server the firm owns, working across the produced documents on their own hardware rather than uploading privileged material to a third-party AI platform.
The result: Work the firm previously measured in several days now takes a couple of hours.
What it does not do: It produces a first pass. A lawyer reads, corrects and signs off everything before it goes anywhere. The saving is in the drafting, not the judgement.

Where these numbers come from. This is a paying client engagement, not an illustration. The timings are the firm’s own estimate of before and after — we did not run a stopwatch, and there are no billed-hour records behind them. It is one firm and one kind of task, so treat it as evidence that this works, not as a rate you should expect. The firm is anonymised because we do not have written permission to name them; we will not publish a client name or a quotation without it.

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, your data on your own 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.

Start My Success Story

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.

Start My Success Story

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.

Tell us what your slow task is

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.

Start My Success Story Call 832-338-2926