Robert Myroniuk

Artificial Intelligence

Enterprise AI, platforms, and the services that turn them into measurable value.

Writing on artificial intelligence in the enterprise. OpenAI and Anthropic are valued in the trillions and spending hundreds of billions on compute. Chat apps and fun pictures bring in real revenue, but the biggest return on that investment will come from agents doing real work inside enterprise software. For the people doing that work, deciding what to hand to AI, what to check before anything leaves your desk, and where the research says it fails is becoming an essential professional skill. These essays look at both sides: where AI’s value is heading, and what it asks of professionals.

2026

  1. What it takes to build an agent

    Agents are supposed to change how we work, and some are pitched as replacements for workers. But are they really that simple to build and manage? In this article, we’ll look under the hood to see how they work and the complexity to build.

    Artificial Intelligence14 min read

  2. From Business Strategy to AI Agents

    A practical L0–L2 framework for identifying business value, designing enterprise architecture, and implementing governed agentic workflows

    Artificial Intelligence8 min read

  3. Getting Better at Handing Work to AI

    How I decide what to hand to AI, what I check before anything leaves my desk, and where the research says it fails.

    Artificial Intelligence6 min read

  4. Enterprise Software Is How AI Will Thrive

    Why AI agents will transform SaaS economics, not eliminate enterprise software.

    Artificial Intelligence7 min read