“AI consulting” has become a crowded phrase, so it’s worth being precise about what it actually delivers — and what it should cost. This page explains what AI consulting involves for a US business, how to tell good from bad, and how dgm approaches it as an independent integration partner. (dgm implements osFoundry, a separate company’s platform — we are not osFoundry, and we don’t speak for it.)

What AI consulting actually involves

Real AI consulting is not a slide deck about trends. It’s a practical sequence: assess where AI can deliver measurable ROI in your business, choose the right platform, integrate it with your existing data and systems, build the agents and automations that do the work, and train your team to run it. The deliverable isn’t “advice” — it’s working AI in production, owned by your people.

That distinction matters because a lot of AI spending fails not on the model, but on the integration: the tool never gets connected to real workflows, so it never moves a metric. Good consulting closes that gap.

What’s included in a dgm engagement

dgm structures the work in two clear stages:

  • AI readiness assessment + roadmap ($399, one-time). We map your current SaaS tools, data, and workflows, identify the highest-ROI opportunities, and produce a concrete integration roadmap — so you make decisions on evidence, not hype.
  • Full integration ($3,999/month). We deploy and configure the platform around your workflows, build the custom agents and automations that run your operations, migrate you off legacy tools where it makes sense, and train your team — with ongoing optimization and support.

These are the only prices dgm publishes, and there are no per-seat fees.

Why we implement osFoundry

dgm specializes in osFoundry, described as a “Hybrid AI Orchestration Platform,” for the same reason an agency specializes in one stack it knows deeply: focus produces better outcomes. osFoundry fits most businesses’ goals because it is model-agnostic (you bring your own models, avoiding lock-in to one vendor), it’s built to consolidate overlapping SaaS tools rather than add another one, and it’s designed so your data stays yours.

But the engagement starts from your needs, not the tool. If osFoundry isn’t the right fit for a particular goal, we’ll tell you — being platform-honest is part of the job.

How to tell good AI consulting from bad

A few signals worth applying to any firm you evaluate, including us:

  • It starts from your workflows and ROI, not from a product demo.
  • It’s honest about what AI can’t do and where the effort really goes (integration, change management, data).
  • It keeps you model- and vendor-flexible rather than locking you into one lab.
  • It proves value on an initial use case before scaling.

Who this is for

dgm works with US businesses that are past “should we use AI” and into “how do we actually implement it well” — whether you’re a small team wanting to cut SaaS costs or a larger organization consolidating a sprawling stack. If you’d rather explore the platform yourself first, you can go straight to osFoundry; if you want it done right and fast, that’s where dgm comes in.