A single automated task saves a few minutes. An automated workflow — the whole multi-step process, across all the tools it touches — can remove an entire coordination job. AI workflow automation is about that bigger prize: orchestrating end-to-end processes with AI making the judgment calls along the way. This page explains how dgm builds them. (dgm implements osFoundry, a separate company’s platform — we are not osFoundry.)

Task automation vs workflow automation

The distinction matters:

  • Task automation handles one action — extract this field, send that message. Valuable, but narrow. (See AI Automation Services.)
  • Workflow automation handles the whole process — the chain of steps, the handoffs between systems, and the decisions in between. It’s what replaces a person manually shepherding work across five tools.

AI is what makes workflow automation flexible: at each decision point, a model can read unstructured input, classify it, and choose the right branch — so the workflow handles real-world variation instead of breaking on the first exception.

What a good AI workflow looks like

Consider a typical multi-step process: a request comes in, it needs to be understood and categorized, the right action has to be taken in one or more systems, and someone has to be notified or followed up with. An AI workflow can:

  1. Ingest the request from wherever it arrives.
  2. Understand and classify it with AI judgment.
  3. Act across the relevant tools — with deterministic steps where precision is required.
  4. Route to a human at checkpoints where stakes are high.
  5. Close the loop — update records and notify the right people.

The art is in the mix: AI for the judgment, deterministic logic for the exact steps, and human checkpoints where they matter. That blend is what makes a workflow both flexible and trustworthy.

Pick the highest-value process first

Not every process is worth automating, and trying to automate everything at once is how these projects stall. The right move is to find the one multi-step, high-volume, tool-spanning process where automation removes the most coordination cost — prove it end to end, then expand. dgm’s assessment is built to identify that process.

What dgm delivers, and what it costs

dgm keeps it simple and public:

  • Assessment + roadmap ($399, one-time). We map your processes and identify the highest-value workflow to automate first.
  • Full build + integration ($3,999/month). We design and build the workflow, integrate it across your tools and data, add human checkpoints where stakes are high, and train your team — with ongoing optimization and no per-seat fees.

We specialize in osFoundry precisely because it’s built to orchestrate AI across tools — which is exactly what workflow automation needs — while keeping you model-flexible and your data under your control.

How dgm helps

dgm automates end-to-end workflows for US businesses — orchestrating multi-step processes across your tools, with AI handling the judgment and humans in the loop where it counts. If you’d rather explore the platform yourself first, you can go straight to osFoundry; if you want a real process automated properly, that’s where dgm comes in.