Start Here: Local AI Without Getting Fleeced

If you own or operate a business in the Flathead Valley right now, you are getting pitched. Software vendors are bolting "AI" onto their dashboards. Out-of-state agencies are sliding into your inbox promising 10x productivity. Some local guy at a Chamber event has a deck about ChatGPT. Your accountant just asked if you've thought about it.

I want to give you a practical filter — the same one I use when I sit down with a new client.

The three questions to ask before any AI purchase

When someone — a vendor, an agency, a "consultant" — pitches you on AI, ask:

1. What specific work does this take off my team's plate? Not "increases productivity." Not "saves time." What hour-by-hour task disappears or shrinks?
2. What does it cost when it gets the answer wrong? AI is wrong sometimes. Sometimes funny-wrong, sometimes expensive-wrong. If the wrong answer goes straight to a customer, that's different than if it goes to your team for review.
3. What does it look like in six months when the novelty is gone? Is your team still using it? Has someone become the internal owner? Or did it quietly get unplugged the third time it embarrassed you?

If the pitch can't answer those three, it's not ready for your business. Doesn't matter how slick the demo is.

The categories that actually pay back

For most businesses in the $1–10M range I've sat down with, the AI investments that actually earn their keep cluster in five places:

• Customer intake and routing. Phone, web form, email — sorting incoming work into the right bucket faster than a human can.
• Document handling. Quotes, invoices, intake paperwork, insurance forms, equipment specs. AI doesn't get tired of typing.
• Follow-up sequences. The customer who got a quote two weeks ago and went silent. AI is shameless about following up; humans are not.
• After-hours coverage. A voice agent that handles routine questions and books appointments while you're closed beats sending callers to voicemail.
• Internal Q&A. Your team asking "where's the policy on X" or "how do we handle Y" — AI trained on your documents answers consistently.

Notice what's missing: AI writing your marketing copy, AI replacing your customer service team, AI making strategic decisions. Those pitches make great YouTube content. They make terrible business cases.

The trap with "AI features" in your existing software

Every SaaS vendor you already pay is adding AI features. Most of them are forgettable. Some are genuinely useful. The trap is paying more for an AI feature you'd never have purchased standalone.

Before you upgrade to the AI tier of anything, ask: would I buy this feature on its own? If the answer is no, you're paying a tax on hype.

What "graduation" means in our work

Last thing. If you're going to spend money on AI help — from us or anyone — make sure the engagement has an end. The right outcome of bringing in outside expertise is that your team can run the system afterward without us. If a vendor's pricing model depends on you being permanently dependent, that should make you nervous.

That's the whole point of this practice. We do the work, ship something, and train your team. You graduate. We get called for the next thing — not because you're stuck on the last one.

If any of this is rattling around in your head and you want a 20-minute call to talk through your specific situation, book one here. No pitch deck, no obligation. Honest answer about whether AI is even the right thing to spend on right now.