Organizations everywhere are experimenting with artificial intelligence, but many leaders find themselves overwhelmed by jargon and conflicting advice. This course tackles that challenge head‑on by breaking AI adoption down into clear, digestible steps. Over four weeks, you’ll gain a structured understanding of what AI can (and can’t) do for your organization, and practice translating technical possibilities into business outcomes.

Each module is designed to build on the previous one. You’ll start by learning simple ways to explain core AI concepts—such as machine learning, large language models, and generative AI—using everyday language. You’ll then apply diagnostic tools to assess your team’s current readiness, identify capability gaps, and prioritize the most promising AI projects. Throughout, you’ll work through real‑world case studies drawn from Kima Sargsyan’s experience advising Fortune 500 clients and innovative startups helping you see how others navigate similar challenges.

Who It’s For



This program is designed for mid-level managers, directors, and business leaders responsible for driving AI initiatives. Whether you lead product, marketing, operations, or strategy, you’ll gain practical tools to guide your teams through change.

Outcomes You’ll Achieve

Design your AI adoption roadmap: Prioritize high‑value use cases using a structured framework and leave with a roadmap aligned to your P&L.

Master the AI conversation: Translate complex concepts into clear, persuasive language for executives and clients using ready‑to‑use scripts and analogies.

Unlock quick wins: Map your team’s existing skills to AI opportunities using a step‑by‑step template so you know where to invest and what to ignore.

Shift culture to AI‑native thinking: Develop a change‑management plan to overcome resistance and embed AI into day‑to‑day workflows.

Build a personalized playbook: Compile a repeatable playbook with templates for readiness assessment, pilot selection and ROI measurement.