AI ops & automation for growing businesses
Answer a few questions about the work eating your team's time. Get a roadmap back, free.
Three ranked use cases with price bands built from your own numbers. Free, whether we ever work together or not.
Systems we have built for five businesses, still running today.
Where we sit
You don't need a new stack. You need the one you have to talk to itself and stop dropping the ball. Your existing tools stay the system of record. We add the layer that moves data between them and only interrupts a human when judgment is actually required.
AI & models
Automation & glue
Where your work lives
Sales, money & data
If your stack isn't listed, ask. We have almost certainly built against something similar.
Sound familiar?
You run a real business. The software you pay for does what software does. It stores records, accepts payments, fires the occasional notification. It does not chase any of it. Follow-ups slip. Leads cool off in the inbox. Invoices age out before someone catches them. Your CRM, your accounting tool, your email, and your team's heads each hold a slightly different version of the truth.
So your people spend their best hours copy-pasting between tabs, reconstructing what was said to whom, and remembering the things software was supposed to remember for them. The work gets done: late, manually, by humans who should have been doing higher-leverage work hours ago.
That's the work AI handles now. Quietly. On a schedule. With humans in the loop only where judgment actually matters.
What we build
Most engagements end up combining two or three of these. The mix is scoped on the fit call and tuned to what your operation actually needs, not a packaged "AI transformation" template.
01
Purpose-built AI that does specific jobs inside your business: drafting replies, triaging inbound, answering internal questions from your own documents. Not a chatbot bolted onto your homepage.
In the wild: An AI assistant that watches a shared inbox, drafts contextual replies inside Gmail, and surfaces only the threads that need a human's judgment.
02
The boring, repeatable pipework that ties your tools together and runs on a schedule. Lead capture into CRM. Invoices into accounting. Most of this work is just connecting things properly.
In the wild: A pipeline that watches a shared mailbox for new client intake forms, enriches the contact in the CRM, and triggers a personalized onboarding sequence, all before the team sees it.
03
Operational dashboards, lightweight admin apps, internal portals. Built fast, hosted simply, designed for the people who open them every day.
In the wild: An operational console where a small team can see what their automations did overnight, override anything routed for review, and trigger one-off runs without touching code.
04
APIs, webhooks, sync jobs, and the data cleanups underneath them. Unglamorous, and usually the reason a previous automation attempt quietly fell apart.
In the wild: A nightly sync that reconciles records across a CRM, an accounting tool, and a spreadsheet of record, flagging the mismatches a human needs to look at instead of papering over them.
The 4-Phase Build · how we work
Every engagement runs through the same four phases. The first three ship a working system. The fourth is how it stays working, and keeps getting better, as your business evolves around it.
Phase 1
We map your tools, your workflows, and the work eating your team's hours. You leave week one with a written scope: what gets built, in what order, on what timeline.
Phase 2
We design it on paper first, then build a working prototype against your real data. You see it before it goes live and tell us what to adjust.
Phase 3
It goes live against your real workload, with error handling, logging, and a clean off-switch wired in from day one. We watch it closely for the first two weeks.
Phase 4
Ongoing tuning, model updates, new automations as you grow, and repairs when an upstream tool changes underneath you. No new invoice every time you want a tweak.
Where to start. The 7-minute Automation Assessment tells you which build is worth doing first and roughly what it's worth, before either of us commits to anything.
Start the assessmentStart free
Both give you something useful on their own. Run either one and you will know more about your operation than a discovery call would have told you.
Free · about 7 minutes
Answer a few questions about the work eating your team's week. Get a personalized roadmap back: three high-ROI automations, ranked, with price bands built from your own numbers.
Free · takes about a minute
When someone asks ChatGPT, Claude, Gemini, or Perplexity for a business like yours, do you come up? VizAI scores how often you actually get recommended, then shows you what is holding you back.
Questions
Most agencies bolt automations onto whatever the prospect describes in a 30-minute call. We run every engagement through The 4-Phase Build (Discover, Design & prototype, Ship, Operate & evolve) and we don't skip phases. We start with discovery against the actual work (the inbox, the spreadsheets, the workflow), then design the system on paper before we build it. We use real software engineering practices (error handling, logging, version control, a clean off-switch) because we treat what we ship as production infrastructure, not a demo.
Ready?
The Automation Assessment takes about 7 minutes. You get a personalized Automation Roadmap in your inbox: three use cases ranked by ROI, price bands built from your own numbers, and a Care Plan estimate for ongoing support. Free, whether we ever talk or not.