AI, applied
AI that ships, not AI that demos
Everyone's selling AI decks. I build AI features that run in production inside real business software — including an AI assistant living in a platform businesses use every day.
What AI can realistically do
Concrete uses, not magic
The honest version: today's AI is phenomenal at language, documents, and repetitive judgment calls — when it's wired into your systems carefully, with a human in charge.
Assistants that know your business
An assistant inside your site or your software that answers like your best employee — trained on your services, your policies, your data — and hands off to a human the moment it should.
Documents that read themselves
Invoices, work orders, forms, emails — extracted into structured data automatically instead of being retyped by someone who has better things to do.
Ask your data a question
"How did last month compare to last year?" answered in plain English from your real numbers — reporting without the report-building.
Workflows on autopilot
Follow-ups drafted, requests triaged, records summarized, the right person notified — the repetitive middle of your operation, automated with judgment.
Data & trust
Your data is not the product
AI done responsibly is an engineering discipline, not a checkbox. Here's the deal, in writing.
- Your data stays yours. Business-grade AI services with contractual no-training guarantees — your customer data never trains someone else's model.
- Least data necessary. The AI sees only what its job requires, nothing more.
- A human stays in charge. AI drafts, suggests, and flags; people approve anything that matters.
- Tested like software, because it is. AI features go through the same engineering rigor as everything else I ship — with guardrails for when the model is wrong.
- Honest about limits. If AI is the wrong tool for your problem, you'll hear that for free.
- Built and supported in the US. Developed here in Minneapolis — and for local clients, we can walk through what it does, in person, at your place of business.
Where to start
The right first AI project
Find the repetitive hour
We identify one task your team does over and over that follows a pattern — that's where AI pays fastest.
Pilot it in weeks
A working feature wired into your real workflow, measured against the hours it saves.
Expand what works
Results decide the roadmap. No moonshots, no science projects — compounding small wins.
Curious what AI could actually do for your business?
Bring me the task your team hates most. I'll tell you honestly whether AI can take it — and what that costs.
Start your project