Services · AI automation
AI automation for the repetitive parts of the job
Verrow AI builds AI automation for small businesses: the reminders, records, approvals and reports that someone on your team does by hand every week. We use AI where it does the job better and plain code where that is enough. We are in Harrison, Arkansas, and work with businesses across the Ozarks and the rest of the US.
Case studies
- Field Crew PortalAn employee portal a line-clearance crew actually opens every day.Private build
- Purchase OrdersPurchase orders and approvals without the email chains.Private build
- Spray LogPaper compliance records, replaced by an app built for the field.Private build
- Project SwarmOne coordinator, a swarm of scoped workers, every result reviewed.Open source
Start with the repetitive work, not the AI
The question we ask first is not "where can we add AI?" It is "what does someone here do over and over that a computer could do, or at least start?" The answers are usually ordinary:
- Sending the same reminder to the same people every pay period.
- Typing a field record into a form after it was already written on paper.
- Chasing an approval through email.
- Pulling the same numbers into the same report every month.
Some of these need a language model. Many do not. A scheduled job that sends a text is cheap to run and never makes something up. We would rather build that, and save AI for the steps that really need judgment or reading.
Automation we have built
These come from real projects on the shelf. Client names stay anonymous unless the client says otherwise.
Crew texts that run themselves
For a utility line-clearance company, payroll and certification reminders now go out automatically, from two sending numbers, with every message logged. Nobody has to remember to send them, and if someone asks whether a crew was told, the log answers. This is part of the Field Crew Portal, built on Supabase Edge Functions and ClickSend.
Records that fill themselves in
For an agricultural drone-spraying operator, Spray Log captures the mix and application records once, in the field, and turns them into clean PDF exports. The record is typed once instead of twice, and the paperwork a regulator asks for comes out of the app instead of a filing cabinet.
Approvals without the email chain
For a field services company, a purchase-order workflow moves each request through approval in one flow and keeps the record. It uses Make to connect the other tools the company already runs.
Numbers you do not have to pull by hand
For an online auction house, Auction Engine includes an analytics center that records the baseline and every month after it, so each change to the platform can be measured without someone building a spreadsheet.
Where AI does fit
We use AI in our own work. This site and our client projects are built with Project Swarm, the open-source system we created, in which AI coding agents do scoped jobs and a coordinator reviews every result. Nothing merges until the checks are green, a security gate holds risky changes for a person to approve, and spend caps stop a run before it gets expensive.
That is the pattern we bring to AI automation for a business: automation does the repetitive steps and hands the judgment calls to a person. If a step cannot be checked, it should not be automated yet.
For a drone operator's marketing site, Aerial, we used AI-generated flight footage of the hills, made with Higgsfield, to show the work from the air. AI is a tool in the kit, not the product.
When the job calls for agents that act on their own, see AI agent systems.
How an automation project runs
- Understand the work where it happens. We start with the people doing the job and the tools they use now.
- Build the first version you can use. One automation, working, before the next one.
- Build with our own agent system. Every change is checked and tested before it merges.
- Hand over, support and keep improving. You get the code and the notes, and we stay on to fix and improve it.
Questions people ask
How much does AI automation cost?
It depends on how many steps are automated, what they connect to, and whether a step needs a language model, which has a running cost per use. We do not publish a price list. We scope it with you first, and start with one automation so you can see it work.
How can AI help a small business?
Usually by taking over the repetitive steps: reminders, data entry, approvals and reports. Some of that needs AI, and much of it needs only a well-built app. We tell you which is which.
Will an automation send something wrong to a customer?
The crew texts log every message, so anything sent can be checked afterwards. We keep a person on the steps that need judgment.
Do you work with businesses outside Arkansas?
Yes. We are in Harrison, Arkansas, and work with businesses anywhere in the US by email and phone.
What tools do you connect to?
The projects above use Supabase, ClickSend for text messages, and Make for connecting other software. If your business runs on a tool with an API, it can usually be connected. Ask us about yours.
Other services
- Custom software: Operations apps, employee portals and compliance record apps, built around how your crews actually work.
- AI agents: Agent systems with scoped jobs, review and spend limits, built on the same tools we use to build this site.
- Websites: Fast marketing sites, from menu-first local pages to 3D and scroll-driven sites.
Tell us what you need built.
Email or call, whichever is easier.