Automation isn’t new — businesses have automated rules-based tasks for years. What’s new is automating the work that used to require a person’s judgment: reading messy inputs, classifying, summarizing, deciding. That’s what AI automation does. This page explains how dgm builds it. (dgm implements osFoundry, a separate company’s platform — we are not osFoundry.)

Where AI automation goes beyond traditional automation

Traditional automation is great at fixed, predictable steps and useless the moment something unstructured shows up — a free-text email, an oddly formatted document, a request that doesn’t match a rule. AI automation closes that gap. It can:

  • Read unstructured input — emails, documents, chats, forms — and pull out what matters.
  • Classify and route — triage incoming work and send it to the right place.
  • Summarize and draft — turn long material into briefs, or generate first-pass responses.
  • Apply judgment — make the kind of routine decisions that previously needed a human.

The result is automation that reaches into the messy, language-heavy work that rules-based tools never could.

The key principle: AI plus deterministic logic

A common mistake is using AI for everything, including steps that must be exact. The best automations are hybrids: AI for the judgment, deterministic logic for the parts that can’t be wrong. A model decides which category a request belongs to; a reliable rule then executes the precise action. This keeps automations both flexible and trustworthy — and it’s a big part of designing them well rather than just wiring a model into a workflow.

For multi-step processes that span several tools, see AI Workflow Automation Services; for the autonomous agents that drive more complex automations, see Custom AI Agent Development.

Start with one high-value process

The fastest path to value isn’t automating everything at once — it’s automating one high-value process end to end, proving it works, and expanding from there. A single well-chosen automation that removes hours of repetitive work or speeds a customer response builds the evidence and confidence to scale. dgm’s assessment exists precisely to find that first process.

What dgm delivers, and what it costs

dgm keeps the engagement and pricing simple and public:

  • Assessment + roadmap ($399, one-time). We map your processes, identify the highest-value automation opportunities, and produce a concrete plan.
  • Full build + integration ($3,999/month). We design and build the automations, integrate them with your systems and data, add human-review steps where stakes are high, and train your team — with ongoing optimization and no per-seat fees.

We specialize in osFoundry because it’s model-agnostic and built to orchestrate AI across your tools rather than add another silo.

How dgm helps

dgm builds AI automations for US businesses that handle the language- and judgment-heavy work rules-based tools can’t — combining AI with deterministic logic so the results are both flexible and reliable. If you’d rather explore the platform yourself first, you can go straight to osFoundry; if you want automations built and integrated properly, that’s where dgm comes in.