Is my company data going to end up training somebody's AI?
No. We build on open-source models that run on your equipment. Your contracts, customer records, and financials stay inside your network — that's the entire reason we work this way.
My team isn't technical. Will they actually use it?
That's the most common reason these projects fail, so we treat it as part of the build. Systems show up inside tools your team already opens — email, your CRM, a shared folder — and we train on-site before we call it done.
What if the AI gets something wrong?
Anything customer-facing or financial is set up to draft and wait for a person to approve, not to act on its own. A human stays in the loop on the decisions that matter, permanently — not just during rollout.
Do I need to buy servers?
Sometimes a modest one, and we'll spec it and tell you the cost up front. Often what you already have is enough, and where it isn't, a private single-tenant server is a reasonable fallback.
How do I know it'll be worth it?
You'll see the math before you commit: what the bottleneck costs you per year, what the fix costs once, and how long the payback takes. If the audit doesn't find at least $50,000 a year in recoverable waste, you don't pay for it.
Why only four clients at a time?
Because there are two of us and we both work on every engagement. It's a real constraint, not a sales tactic — it's also why the work gets done properly.