AI Leadership Toolkit

Kima Sargsyan

Strategy Director

Language, frameworks, and playbook to make your team AI-ready fast.

Teams 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, we'll build a structured toolkit of what AI can (and can't) do for your team or company, and practice translating technical possibilities into business outcomes.

Each module builds on the previous one. You'll learn simple ways to explain core AI concepts using everyday language, apply diagnostic tools to assess team readiness, identify capability gaps, and prioritize promising AI projects. Throughout, you'll work through real-world case studies from Fortune 500 clients and innovative startups.

Outcomes:

Design your AI adoption roadmap aligned to your P&L
Translate complex concepts into clear language for executives
Map existing skills to AI opportunities to prioritize investments
Develop a change-management plan to overcome resistance

What you’ll learn

Build an AI adoption roadmap: find high‑impact use cases, secure exec buy‑in and shift team mindset for lasting results.

Prioritize high‑value use cases using a structured framework.
Build a roadmap aligned to your P&L.

Adopt clear, persuasive language for executives and clients.
Help your team make sense of new AI reality.

Map your team's existing skills to AI opportunities using a step‑by‑step template.
Prioritize AI use cases that make sense for your team.

Develop a change‑management plan.
Embed AI into day‑to‑day workflows, test, analyze, pivot.

Compile a repeatable playbook with templates for readiness assessment.
Lead the pilot initiative and ROI measurement.

Learn directly from Kima

Kima Sargsyan

Contact

Kima is a Strategy Director at Huge, advisor to Fortune 500s and startups.

Previously worked with

Who this course is for

Managers and directors introducing AI.
Gain clarity, confidence, and tools to guide your team through AI adoption without overwhelm.
Strategy, marketing, and ops leaders.
Translate AI into plain language, cut jargon, and help your teams act on real opportunities.
Consultants and advisors.
Use simple frameworks and language to guide clients on AI adoption without needing deep technical expertise.

What's included

Live sessions

Learn directly from Kima Sargsyan in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Slack community

Join Kima's Slack community to continue building relationships with like-minded leaders.

Additional materials

Get access to further reading and learning recommendations curated by Kima.

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Syllabus

4 live sessions • 5 lessons

Week 1

Nov 12—Nov 16

Session 1 — The AI Clarity Toolkit

1 item

Nov

Session 1

Wed 11/125:00 PM—6:30 PM (UTC)

Week 2

Nov 17—Nov 23

Session 2 — Mapping Skills to AI Opportunities

1 item

Nov

Session 2

Wed 11/195:00 PM—6:30 PM (UTC)

Free lesson

Getting your team AI-ready

Speak about AI with confidence

Learn how to cut through hype and explain AI in clear, practical terms your team can act on.

Map skills to AI opportunities

Identify where your team’s current strengths align with new AI capabilities and where to upskill.

Introduce AI-native thinking

Shift from tool adoption to mindset change to help your team see work, strategy, and creativity through an AI-first lens

Schedule

Live sessions

2 hrs / week

90-minute weekly interactive classes with Kima are your primary commitment. Access curated readings and practical exercises to apply concepts at your own pace.

Wed, Nov 12
5:00 PM—6:30 PM (UTC)
Wed, Nov 19
5:00 PM—6:30 PM (UTC)
Wed, Nov 26
5:00 PM—6:30 PM (UTC)