The CIO’s Roadmap to Enterprise AI Transformation for 2026
A practical guide for implementing enterprise-grade AI agents across your organization without sacrificing security or governance.
Explore in-depth guides, technical tutorials, and real-world success stories on how AI agents and large language models are transforming businesses, automating workflows, and creating smarter organizations.
A practical guide for implementing enterprise-grade AI agents across your organization without sacrificing security or governance.
Industry technology adoption curves close. The question is not whether your distributor will deploy AI. It is whether the AI will be grounded in your catalog or someone else's.
75% of B2B buyers now prefer to research without a rep, and they prefer AI for the questions that feel too basic to ask a person. The goal is not fewer reps — it is better conversations.
There is no position one in generative search. When a buyer asks an AI which distributor to trust, your brand is either cited or invisible — and your AI agent is the content engine you're probably not using.
ITR Economics' leading indicators are all pointing up at once: 2026 is a favorable cycle. The bottleneck won't be inventory — it will be the people who answer technical questions.
When are we going to fix AI's hallucination bug? Wrong question. Hallucinations are a feature of how LLMs work — here is what that means for industrial distribution, and what to build instead.
We'll demo on your SKUs, run your evals, and show citations for every answer.