We Build AI Systems and Automate

Both. A cabling run, a camera system, or a network build can be a standalone project quoted in writing. Many clients start with a build and move into a managed plan once they see how we work — but you're never forced to.

Real. We build agent systems and automation pipelines that move work between your actual tools — not a chat widget. We scope each one to what it can reliably do and keep a human in the loop wherever that's the right call. If AI isn't the right answer for a task, we'll tell you.

We size the channel count and retention to your site, install and aim the cameras, stand up one or more NVRs, and set up secure remote viewing. We've built dual-NVR, 32-channel-each deployments with cloud access — so scale isn't a problem.

We do the work — design, run, and terminate the cabling, and stand up the network. Hardware is never marked up: we spec the right gear and send you the links, and you buy it at our cost.

Yes. We manage infrastructure for multi-location and out-of-state clients from Texas, standardized and centrally managed. Distance isn't the constraint — good design and clean documentation are, and those are ours to control.

If you're on Google Workspace, start with Gemini — it's already in your Business Standard or Plus subscription. Copilot only makes sense if your business lives in Microsoft 365, and it's an added per-seat license there. We'll tell you plainly which one your stack justifies — sometimes the answer is neither yet.

Only if someone configures it that way. We control which departments and apps can use Gemini through Workspace admin policies, write an AI-usage policy your team actually follows, and keep client data inside your tenant instead of a public chatbot.

It answers calls your team can't, day or night — routes callers, books appointments, takes messages, and texts you a summary. A human still handles anything real; nothing gets decided by a robot.

No. AI makes the first pass — flagging the threat, drafting the response, catching the missed call. Our engineers make every call that matters. That's the whole design.

Ours are on this page. An Automation Audit is $1,500 flat. A single-workflow build is $2,500; a multi-step build across two or three systems with one AI step is $6,000. Automation Care runs $250–$750 a month by workflow count. The AI Use Policy Pack is $1,200 up front, then $150 a month. We don't sell automation by the hour and we don't bill on token or usage consumption — the fixed fee is the fee, and change orders go in writing at a stated rate before anyone starts work. The one hourly rate we publish here is $125/hr for breakage response under Automation Care. Custom integration work where no connector exists isn't on the menu; it's quoted separately after a paid discovery.

A half-day on site and a written deliverable. We inventory the five most time-expensive repeated workflows in your business, then say plainly which can be automated with tools you already pay for, which need glue built, and which should be left alone. You get the workflow inventory, the monthly time each candidate consumes, a ranked roadmap, and a fixed quote for the top item. The findings are itemized and client-owned — you keep the document whether you hire us or not, and you're free to take the roadmap to any vendor, including a cheaper one. If you do hire us for a build within 60 days, the $1,500 credits 100% toward it. There is no expiring discount and no urgency language inside the deliverable, because the party writing the findings shouldn't also be running a countdown clock.

For a fixed-fee build, yes — or we price the uncertainty instead of pretending it isn't there. Automating a workflow means encoding the decisions inside it, and decisions that only live in one person's head can't be encoded yet. This is the most common reason automation projects stall, and small dental, chiro, and tax offices are the least likely to have approved procedures written down. If yours aren't, there are two honest paths: scope the documentation as a separate, billed pre-step, or quote the build with the estimate flagged as carrying overrun risk. We won't quote a fixed fee against an undocumented process and discover it on your time. Every build also carries a hard stop — if it passes 1.5x the estimated hours, it ships as-is or you get refunded.

You do. The audit deliverable is your document to keep and to shop around. The build comes with a written scope, an explicit out-of-scope list, and a named acceptance test, so what you bought is on paper before it's built. Where we deliver on a third-party automation platform because it's the faster and cheaper path, we tell you in writing before we start: which platform, where your data travels, and what happens to the automation if that vendor changes its terms or you decide to leave. That's often the right call. It isn't a call we'll make silently on a dental or tax client's behalf.

If your staff have ChatGPT or any other consumer AI open on a work machine — and they almost certainly do — you already have an AI policy. It's unwritten and nobody has read it. The Policy Pack is $1,200 for a written acceptable-use policy, an approved-tool list, a shadow-AI audit of what your team is already pasting into consumer tools, and a 45-minute staff training; $150 a month keeps it current with a quarterly re-audit. The reason to care is concrete: in February 2026 a federal court in the Southern District of New York held in United States v. Heppner that a person's conversations with a consumer AI chatbot were not protected as privileged or confidential. The protection that ruling recognized tracked attorney-directed use — paying for a business subscription or signing a data-processing agreement does not by itself create privilege. The practical takeaway for a practice: ungoverned staff use of a consumer chatbot creates a discoverable record, and a governed, admin-controlled setup materially reduces that exposure. That's a decided federal case, not a vendor claim, and we won't stretch it further than it goes.