Service · Custom AI build
Own the software you run on.
Stop renting software for work you could own. I build custom apps and AI systems that replace the rented tools, run in your cloud, and belong to you, with a baseline measured before and the result measured after.
St. Augustine, Jacksonville, Ponte Vedra, and Northeast Florida.
The average company rents over a hundred apps, most priced per head, and pays again with every hire. Half of them do narrow, specific work: enter time, post a batch, approve a change, render a dashboard. Work you can own instead of rent.
I embed in your operation, find the licenses worth replacing, and build the replacements as production software in your own cloud. Your code, your data, your tenant. When I'm done, nothing of mine has to come with you.
Every build ships with the harness around it: the setup around the AI that connects it to your systems, enforces your rules, catches mistakes, and remembers what works. That layer is the difference between a demo and software your team can rely on.
What I replace
The licenses worth owning instead of renting.
The system your team works in
Time entry, job costing, approvals, reporting, rebuilt as apps you own. Every new hire is a login, not another bill.
The dashboards you rent per viewer
The charts and KPI cards your team actually looks at, rendered in software you own instead of a dashboard you rent per viewer.
Single-purpose tools
The single-purpose tools (document review, scheduling, reporting) replaced by an agent or app grounded in your real data, not guessed joins.
How it is priced
Scoped from a Roadmap, or embedded by the month.
A bounded custom build is fixed-priced from a Roadmap, so the number is set before any code is written and there are no blind quotes. For ongoing work, an embedded Build at $6,000/mo ships a stream of production systems on your cloud.
Either way it runs in your Google Cloud or Azure tenant under your billing, with the code in your repo from day one. No lock-in. The opposite of the SaaS model I am replacing.
Founding case
The thesis, in production today.
I'm embedded inside a Northeast Florida commercial contractor's own cloud, replacing the rented tools app by app. Cost-to-complete forecasting, change orders, approvals, each one a workflow that used to need its own license. The system of record stays; the daily work moves into software they own.
I measured the rented-tool spend before, shipped the replacements, and measured after: every project manager they add is now a login they already own instead of another license, and work the old tools never did (cross-system reporting, multi-stage approvals) now ships. This is work shipping this week, not a case study from years ago.
FAQ
Common questions.
- What kinds of software can you replace?
- The rented tools for work I can rebuild: the system your team works in daily, the dashboards you pay per viewer for, and single-purpose tools for documents, scheduling, or reporting. If a vendor charges per head for a workflow, it's a candidate.
- What does "you own it" actually mean?
- Everything runs in your Azure or GCP tenant, under your billing, with full repo access for your team from day one. When the engagement ends, nothing of mine has to come with you.
- How do you keep the AI from making things up?
- I ground every agent in your real data: your tables, your business glossary, your verified queries, using your warehouse's own context tooling. It reasons against governed metadata, not guesses, and when it doesn't know, it says so.
See what you can stop renting.
Thirty-minute call. Tell me what's on your software bill; I'll tell you what's worth owning, what it should return, and how I'd build it.