How to Empower the Manager Layer on your AI Strategy
The manager layer is where your AI strategy becomes day-to-day behavior. So if the middle of your org doesn’t know how to translate your vision into team-level execution, adoption at the bottom will stay uneven and impact shallow.
Michael Domanic
Head of AI, Section
Monika Saha
Chief Commercial Officer, Articulate
Making the mid-level your champions
On September 28 from 1 - 2 pm ET, Section’s Head of AI, Michael Domanic, will sit down with Monika Saha, Chief Commercial Officer at Articulate, for a conversation on empowering middle managers to drive your AI strategy. They’ll cover questions like:
- Why is the manager layer so critical to successful AI adoption?
- How can AI leaders move beyond broadcasting AI strategy to enabling managers to be champions of it?
- What support do managers actually need to lead AI adoption effectively?
- How should companies set expectations for managers so AI adoption doesn’t become patchy or superficial?
- How is AI forcing managers to rethink not just team workflows, but the function itself?
They’re taking your questions too – so RSVP free and bring your people managers.
Meet your speakers
Michael Domanic
Head of AI, Section
Michael Domanic leads AI transformation at Section, where he builds the strategy, governance, and agent infrastructure that make organizations genuinely AI-native. Previously Head of AI at UserTesting, he drove enterprise-wide AI adoption across the company, turning AI from a pilot initiative into an embedded part of how teams work. With over a decade in AI, he specializes in helping organizations move from experimentation to lasting operational impact.
Monika Saha
Chief Commercial Officer, Articulate
Monika Saha is Chief Commercial Officer at Articulate, where she leads commercial strategy. A global SaaS executive with more than two decades of experience, she has held leadership roles across post-sales, sales, marketing and product management at Zuora, Delphix and Gainsight. Her focus is on how AI can democratize learning-content creation, accelerate localization and personalization, and help enterprises build workforce capabilities at scale.
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