“Agentic AI” is the term of the moment, and for once the hype points at something real. For business leaders, it’s worth understanding what it means, how it differs from the generative AI you already know, and what to watch for. Here’s the plain-English guide, and how dgm builds it. (dgm implements osFoundry, a separate company’s platform — we are not osFoundry.)

What agentic AI means

Agentic AI is AI that acts autonomously toward a goal — it can plan and execute multi-step tasks in your systems, not just generate content in response to a prompt. Where a generative model answers a question, an agentic system can decide what steps to take and carry them out, within boundaries you set.

How it differs from generative AI

  • Generative AI produces content — text, code, images — in response to prompts. It answers.
  • Agentic AI builds on that but adds action and autonomy — it plans and does, taking steps in your systems.

Agentic AI uses generative models under the hood, but the leap is from producing output to completing work. (See AI agents explained for the building block.)

Where it delivers value

Agentic AI shines at automating whole multi-step processes that span systems and used to require a person to coordinate — handling a request end to end, running an operational workflow, completing a task across several tools. The value is removing that coordination work entirely (see AI workflow automation).

The risk: autonomy without guardrails

The flip side of autonomy is that an agent can act beyond its intended scope or act wrongly with no human check. So agentic AI must be bounded: clear limits on what agents can do, human oversight for high-stakes actions, and audit trails (see how to keep humans in the loop). Powerful and bounded, not powerful and loose.

How dgm helps

dgm builds agentic AI on the model-agnostic osFoundry platform — with the access, boundaries, and oversight that make it safe — starting with one bounded, high-value process. A $399 assessment scopes it; implementation is $3,999/month with no per-seat fees. If you’d rather explore the platform yourself first, go straight to osFoundry; if you want agentic AI implemented safely, that’s where dgm comes in.