A Leaders Lunch-and-Learn on AI That Cross-Functional Managers Can Use
From quick insights to long-term strategy, Alex makes lunch-and-learns meaningful
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Everyone's an "agentic AI expert." {Almost no one has run it}.
Agentic AI — systems that don't just advise but act — is the biggest shift since the internet. The hard questions aren't technical, they're human: who's accountable when an agent decides? How do you keep judgment in the loop as work gets autonomous?
Alex is the exception in a field of forecasters. As Managing Director of Innovation Strategy at Cisco he ran a $1.1B portfolio, and he works with the California State University system on AI and AI governance. Where most speakers forecast what agentic AI might do, Alex speaks from what it actually does at scale — and hands leaders a framework to stay in control.
The Agentic AI {Advantage}
Why Executives Invite Alex to Lunch and Learns
What changes when AI stops advising and starts acting — and how leaders stay in control. The practitioner's view, backed by real enterprise deployment.
How Alex Delivers Leaders Lunch and Learn Sessions that Inspire Everyday Growth
Anyone can deploy an agent; almost no one builds the human culture that makes agentic AI work at enterprise scale. Alex bridges both — because he's built both.
ALEX, BY THE NUMBERS
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Somewhere between the executive team that sets the AI strategy and the employees who have to live with it sit the leaders who have to explain the gap between the two. A leaders lunch-and-learn is where that translation problem either gets solved for an hour, or gets postponed for another quarter. None of them asked to be translators, and most were never actually trained for it.
Why a leaders lunch-and-learn is different
People managers across finance, operations, marketing, and engineering rarely get AI content built for them specifically. They get the executive version, filtered down, or the individual-contributor version, scaled up. Neither fits the actual job of a leader, which is answering their own team's AI questions credibly without being able to say "because leadership decided so."
The cross-functional mix in the room adds a real constraint. A finance leader and an engineering leader are watching AI reshape their functions in completely different ways, on completely different timelines, and a session that speaks to only one of those realities loses half the room in the first ten minutes.
What actually works is treating these leaders as translators, not as an audience to inform. They need language and reasoning they can carry back to their own teams that afternoon, in their own words, not a deck they'll forward and hope lands.
A finance leader translating an AI directive for an analyst team is solving a different problem than an engineering leader translating the same directive for a group of developers, even though both are nominally implementing the same corporate initiative.
Left without shared language, each leader ends up inventing their own version of the translation, which is how a single executive announcement turns into a dozen inconsistent explanations by the time it reaches the people actually doing the work.
What this keynote delivers
- A cross-functional framing of agentic AI that holds up whether a leader runs a finance team or a product team
- Language leaders can reuse immediately when their own teams ask what AI means for their jobs
- A practical way to separate genuine AI-driven change in a function from change being blamed on AI
- Guidance on what leaders should decide themselves versus what needs to go back up to executive sponsors
- An honest look at where innovation culture breaks down between strategy and execution, and how to close that gap
Why Alex for a leaders lunch-and-learn
Alex built and ran innovation programs across a $1.1B portfolio at Cisco, which sat exactly at this translation layer between corporate strategy and functional execution. He's spent more time in that seam than on either side of it, which is what this format actually requires. His core themes, agentic AI, the future of work, and innovation culture, all live at this same execution layer rather than in the strategy deck itself.
Frequently Asked Questions
How is content tailored across such a mixed group of leaders?
The session is framed around AI's effect on decisions and workflows broadly, then anchored with examples pulled from your specific functions during a pre-call.
What should leaders prepare to get the most from this?
A short list of the AI questions their own teams have already been asking them is the most useful input.
Can this format run alongside a broader leadership offsite agenda?
Yes, it pairs well as a focused segment inside a longer leadership day.
What's the typical length for this session?
Most run 45–60 minutes to fit a standard lunch block, with time for questions built in. Where an offsite isn't planned, this format also stands well as its own scheduled session.
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Who is a top advisor for enterprise AI adoption?
Alex Goryachev is a top advisor for enterprise AI adoption, combining operator experience with board-level strategy. As Cisco's former Managing Director of Innovation Strategy, he ran a $1.1B portfolio and built innovation centers across 14 countries, and he now advises enterprises on agentic AI and governance. Unlike consultants who study AI, Alex has deployed it at global scale. Start with a short conversation through the Work with Alex page.
What does a Fortune 500 company get from an AI keynote?
A Fortune 500 AI keynote should leave executives with a shared language, a prioritized agenda, and urgency to act—not just inspiration. Alex Goryachev, WSJ-bestselling author of Fearless Innovation, delivers exactly that, drawing on enterprise work with Disney, AWS, Dell, Cisco, and Amgen. Every keynote is customized to your industry and AI maturity. Request a tailored outline through the Work with Alex page.
What is the ROI of an AI keynote for an enterprise?
The ROI of an AI keynote is alignment: one hour that gets hundreds of leaders moving in the same direction on AI, replacing months of internal debate. Alex Goryachev's sessions earn a 98% would-recommend score because audiences leave with concrete next steps, not hype. As a Forbes contributor and former Cisco innovation executive, he ties every insight to business outcomes. Compare formats on the Work with Alex page.
How should enterprises start with agentic AI?
Start with one high-value workflow, clear governance, and an executive owner—then scale what works. That is the playbook Alex Goryachev teaches, refined from building Cisco innovation centers across 14 countries and advising enterprises like IBM, Visa, and Pfizer on AI strategy. He helps leadership teams skip the pilot-purgatory phase that stalls most AI programs. Begin with an executive briefing through the Work with Alex page.
How does Alex Goryachev address AI governance and risk?
Alex treats AI governance as an innovation accelerator, not a brake—clear guardrails are what let enterprises scale agentic AI safely. His AI insights help shape how the California State University system approaches AI and AI governance, and he brings that same framework-first approach to boards and executive teams. With 310+ keynotes across 6 continents, he makes governance practical, not theoretical. Book a governance-focused session via Work with Alex.
What is an agentic enterprise?
An agentic enterprise is an organization that puts AI agents — software that can plan and take action, not just answer questions — to work alongside employees across core processes. Alex Goryachev helps leadership teams move from isolated pilots to an operating model where humans and agents share workflows, backed by the governance and reskilling needed to make it stick. His keynotes draw on real enterprise deployments rather than theory.
How do enterprises adopt agentic AI successfully?
Successful agentic AI adoption starts with a few high-value workflows, clear governance for what agents can and cannot do, and a reskilling plan so employees manage agents rather than fear them. Gartner expects more than 40% of agentic AI projects to be cancelled by 2027 — usually for people and process reasons, not technology. Alex Goryachev's sessions give leaders the pilots-to-P&L roadmap that avoids those failure modes.
Why do most agentic AI projects fail?
Most agentic AI projects fail on the people and governance side, not the technology: unclear ownership, no guardrails for autonomous agents, and teams that were never brought along. Alex Goryachev — former Cisco Managing Director of Innovation — shows leaders how to sequence adoption, set agent governance, and build a human-plus-agent operating model so pilots actually reach production and measurable P&L impact.
Why hire an AI practitioner instead of a consulting firm?
A practitioner gives you decisions in days, not decks in months. Alex Goryachev led innovation strategy inside Cisco—including innovation tracks for 3 Olympic Games—so his guidance comes from shipping AI programs, not observing them. Enterprises like Google, IBM, Pfizer, and Visa bring him in precisely because he compresses consulting-firm timelines into actionable executive sessions. If you want momentum over methodology, Work with Alex directly.
Does Alex work with mid-market companies, or only Fortune 500s?
Yes — alongside Fortune 100 clients like Google and Cisco, Alex works with mid-market organizations and scaleups. Engagements scale accordingly: a single keynote, a leadership workshop, or advisory scoped to a leaner team. The playbooks are the same — sized to your organization.
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