AI for Small and Mid-Sized Businesses

If you run a small or mid-sized company, you've probably watched the AI conversation happen mostly above your weight class. The case studies all involve Fortune 500s, the pricing pages assume you've got an ML team on staff, and most of the demos seem to involve a chatbot answering trivia questions about Wikipedia.

None of that is particularly useful when the real problem is that your support inbox has three hundred unread messages in it and the same five questions keep showing up.

What we hear from SMB customers

The pattern tends to be roughly the same. There's some process, often support triage or lead qualification or invoice extraction, that takes one of your people several hours every day and mostly doesn't require their judgment. They suspect AI could handle a lot of it. What they don't know is who to call, what it would cost, or whether any of it would actually work on their specific data.

That's the gap we exist to close, and it isn't "AI for everyone" as some kind of slogan. It's AI applied to the one specific process that's costing you a headcount you can't really afford.

What you don't have to build

If you decide to build this in-house, the bill of materials gets long quickly. You need an ML engineer, infrastructure, a vector store, an evaluation harness, a prompt-engineering loop, integrations into the tools you already use, monitoring, and someone on call when the model starts behaving strangely after a vendor pushes an update. Most of that work is invisible to the business and doesn't ship value on its own.

We do all of it on a retainer. You get the result; we handle the rest of the iceberg.

Where it actually fits

A few of the use cases that have worked well for our SMB clients:

• Inbox triage. Classify, route, and auto-reply to the routine 60 to 80 percent of messages so the team only sees the ones that need them.
• Document extraction. Pull structured fields from invoices, contracts, or forms directly into your existing system of record.
• Content workflows. Draft, summarize, and translate, always with a human review step before anything goes out externally.
• Internal search. Make the documents buried in Google Drive, Notion, or SharePoint actually findable when someone needs them.

None of those are flashy. All of them save real hours every week.

How we price it

One retainer covers the platform, the integrations, the monitoring, and the people who keep it running. We talk through the scope before we sign anything, and if a use case doesn't make sense at your size, we'll tell you. We would rather not start at all than start something we end up having to walk back.

If you've got a process that's eating time and you've been wondering whether AI could help, that's the conversation we want to have. Email us and we'll figure out together whether it's actually a fit.