What we do
Services
We start with the problem, not the technology. Here is what that usually looks like.
Your systems don't talk to each other
Your CRM says one number and your point-of-sale says another, so once a month somebody sits down and reconciles the difference by hand. Or your ordering system and your accounting system both know about the same invoice and neither one will admit it. The workaround has a name and it's usually a person.
We build the connector. Real API work against real systems, with error handling, retries, and a log you can read when something goes wrong. Not a nightly CSV export that somebody forgets to run.
Typically: API connectors · webhook endpoints · scheduled sync · reconciliation dashboards
The business runs on a spreadsheet
It started as a quick fix. Now three departments depend on it, one person actually understands the formulas, and everyone is afraid to change it. It has no history, no permissions, and no way to tell you who changed the number or when.
We replace it with a real application, without losing the logic that made it work. Roles, an audit trail, soft deletes, and a schema that reflects how the business actually operates. Usually the hardest part is getting the rules out of the spreadsheet and into words, which is why we start there.
Typically: internal tools · role-based access · audit logging · data migration
Your data is trapped on a server you don't control
The numbers you need are sitting in a database behind your firewall, in a system owned by a vendor with no commercial interest in helping you get at them. Every question takes a support ticket, or a person with database access and a free afternoon.
We've moved that data out and made it answerable, without opening a port to the internet. Outbound tunnel, selective sync, and enough schema discipline that you can still tell which location a row came from.
Typically: secure data sync · cloud replication · reporting layers · AI over your own data
Work falls through the cracks
Leads sit unassigned. Invoices get paid above the rate the contract specifies. Inventory counts get entered wrong and nobody notices until the month closes. None of these are hard problems. They're just problems nobody has time to watch continuously.
This is where AI genuinely earns its place: routing, checking, and flagging, at a volume no person can sustain. We build it with a human in the loop for anything the model isn't confident about, and a log of every decision so you can audit it later and correct it.
Typically: routing engines · document and invoice checking · anomaly flagging · review queues
How we engage
Three ways this starts
Diagnostic
We sit with the people doing the work and map what actually happens. You get a written picture of the problem and a straight answer on whether software is the right fix. A week or two.
Pilot
The smallest real thing that proves it. One workflow, your data, in front of the people who'll use it, so you find out before you commit to the rest. Four to eight weeks, typically.
Build and hand off
The full system, your team trained on it, documentation they'll actually read. You own the code and the data.
Every project is scoped after the diagnostic, so we're quoting something we understand instead of something we guessed at. If the diagnostic says you don't need us, we'll say so.