How to Build Your First AI Workflow

In this week's episode of Open Tech Talks, host Kashif Manzoor takes you through a convenient, real-world guide to building your first AI workflow, even if you are not technical. After last week's conversation (Episode 175) with Rose G. Loops on Ethical AI, Human Safety & AI Identity Protection, this episode returns to the foundations of GenAI adoption for professionals and enterprise teams. It also continues the learning from Episode 173, How GenAI Is Changing Every Career. Most people know how to write a prompt. Very few know how to connect AI to their real work. This episode solves that gap. Kashif breaks down the entire concept of an AI workflow into four simple building blocks: trigger → input → AI processing → action, and shows how ANY professional can build practical, repeatable workflows using ChatGPT, OCI Gen AI, Claude, Gemini, and more. You'll also hear four real enterprise examples from sales, finance, customer support, and legal, across industries. These examples are practical, repeatable, and immediately usable for working professionals, leaders, and teams starting their GenAI adoption journey. What You Will Learn in This Episode By the end of the episode, listeners will be able to: Understand exactly what an AI workflow is (with a simple formula) Identify the four components every workflow needs Choose the right triggers, inputs, and context for reliable AI output Use LLMs for summarization, classification, analysis, forecasting, and writing Turn repetitive tasks into automated workflows using No-Code tools Understand enterprise considerations: privacy, compliance, cost, integration Build a complete workflow using input → AI → output Apply AI to real departments: sales, finance, legal, customer support Start building repeatable AI processes that improve productivity every week Resources: Starter AI workflow Library