Small businesses are told AI is either too complex or too expensive for them. Neither is true — if the consulting is practical and focused on real ROI instead of enterprise theater. This page explains what good AI consulting looks like for a small business and how dgm approaches it. (dgm implements osFoundry, a separate company’s platform — we are not osFoundry.)

What small businesses actually need

A small business doesn’t need a transformation program or a slide deck about AI strategy. It needs a couple of concrete things working:

  • Less time on repetitive work — automating the manual tasks that eat hours.
  • A smaller software bill — consolidating the overlapping SaaS tools small businesses accumulate.
  • Quick, visible ROI — value you can see in weeks, not a project you fund for a year on faith.

The wins are practical and close at hand. The job of good consulting is to find them and deliver them without over-complicating anything.

The two biggest small-business wins

For most small businesses, two opportunities deliver the most, fastest:

  1. SaaS consolidation. Small businesses pay for a surprising number of overlapping tools. Replacing several with one AI-orchestrated layer cuts cost and complexity — see SaaS Consolidation with AI. This is the one where the AI engagement can partly pay for itself.
  2. Automating repetitive work. The manual, repetitive tasks that consume a small team’s time — handling inquiries, processing documents, routine follow-ups — are exactly what AI automation handles well.

Get these two right and a small business feels the difference quickly.

Start small, prove it, expand

The way small-business AI stalls is by trying to do everything at once. The way it succeeds is the opposite: pick one high-value use case, prove it works and pays off, then expand with the confidence (and savings) that creates. dgm’s assessment exists to find that first use case — and to be honest if a particular idea won’t pay off.

Affordable and predictable

The fear that AI consulting means an open-ended, unpredictable bill is fair — for a lot of the market. dgm answers it with fixed, public pricing:

  • Assessment + roadmap ($399, one-time).
  • Full implementation ($3,999/month) — with no per-seat fees, so the cost doesn’t balloon as your team uses it.

For a small business that consolidates a few tools in the process, the net cost is often far lower than it first appears.

How dgm helps

dgm helps small US businesses adopt AI the practical way — automating real work, consolidating tools, and proving ROI on one use case before expanding — at predictable, fixed pricing. If you’d rather explore the platform yourself first, you can go straight to osFoundry; if you want AI that pays off without the enterprise overhead, that’s where dgm comes in.