There’s a wide gap between deciding to use AI and having AI actually working in your business. Implementation is the bridge — the end-to-end work of getting from idea to a system in production. This page explains what AI implementation services deliver and how dgm approaches them. (dgm implements osFoundry, a separate company’s platform — we are not osFoundry.)

What “implementation” actually covers

AI implementation is the whole arc, not a single step:

  1. Assessment — where AI delivers real ROI in your business, and where it doesn’t.
  2. Platform setup — configuring the right platform around your needs.
  3. Integration — connecting it to your data and systems so it can do real work (see AI Integration Services).
  4. Build — the custom agents and automations that run your specific workflows.
  5. Rollout — putting it in front of your team in production.
  6. Training and ownership — so your people can run and extend it.

The deliverable is working AI in production, owned by your team — not a recommendation, and not a pilot that never graduates.

Why phased delivery matters

The most common way implementations go wrong is the “big bang”: months of work toward one large launch that either slips or lands without proving value. dgm structures implementations in phases — prove ROI on one high-value use case first, then scale — so you get early results, build internal confidence, and avoid betting everything on a single launch. It also means you can stop or redirect after the first phase if the evidence points somewhere else.

What dgm delivers, and what it costs

dgm keeps the engagement and the pricing simple and public:

  • Assessment + roadmap ($399, one-time). A readiness assessment and a concrete implementation roadmap — decisions made on evidence, not hype.
  • Full implementation ($3,999/month). Platform deployment, integration with your systems and data, custom agents and automations, migration off redundant tools where sensible, team training, and ongoing optimization. No per-seat fees.

We specialize in osFoundry because focus produces better outcomes — it’s model-agnostic and built to consolidate tools rather than add one. But the work starts from your goals; if osFoundry isn’t the right fit for something, we’ll say so.

An implementation engagement can include or follow any of these; the assessment clarifies the right entry point.

How dgm helps

dgm implements osFoundry and other AI for US businesses, end to end — from the first assessment to a working system your team owns. If you’d rather explore the platform yourself, you can go straight to osFoundry; if you want it implemented right, fast, and in phases that prove value early, that’s where dgm comes in.