Leaders Lunch-Learn: Equipping Managers to Answer the AI Questions
From strategic updates to emerging trends, Alex makes short sessions impactful
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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 Leaders Choose Alex for Lunch-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-Learn Programs that Drive Clarity and 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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A manager's worst moment in the AI conversation isn't being asked a hard question by their team. It's not having an answer, in real time, in front of the people who report to them. A leaders lunch-learn either prepares managers for that moment or leaves them exposed to it. Most managers would rather admit real uncertainty than bluff, if they had a credible way to do it.
Why a leaders lunch-learn is different
Employees increasingly bring their managers pointed AI questions: will this tool replace part of my job, why is the company rolling this out now, why wasn't I asked first. Those questions land on managers, not on executives, because managers are the ones in the room every day. Most managers have not been given anything close to a good answer to work with.
That gap creates a specific kind of anxiety in leaders themselves — not just about AI, but about their own credibility. A manager who fumbles an AI question loses standing with their team in a way that's hard to rebuild, and most lunch-learn content aimed at leaders never actually addresses that risk directly.
Solving it means treating leaders as the people who will be quoted, paraphrased, and pressed on this content by their own teams within days — and building the session so what they walk away with actually survives that pressure.
The AI questions employees bring to a manager rarely have a clean answer, which is exactly why managers need practice handling ambiguity out loud rather than a script written for questions that will actually come up cleanly.
Managers who fumble one AI question rarely lose credibility over that single moment; they lose it over the pattern, if it keeps happening without ever getting better. A session that gives leaders a repeatable way to acknowledge what they don't yet know, and how they'll find out, fixes the pattern, not just the moment.
What this keynote delivers
- Straight, defensible answers to the AI questions employees are most likely to bring to their managers
- A way to talk about AI and job security candidly, without overpromising or catastrophizing
- Guidance on when a leader should answer an AI question directly versus escalate it upward
- A grounded view of agentic AI's real near-term impact on day-to-day team workflows
- Language for handling the moment a team member asks something a leader truly doesn't know
Why Alex for a leaders lunch-learn
Alex is a practitioner, not a futurist — the distinction leaders need most when they're the ones who'll be asked to defend this content to a skeptical team the next morning. His themes center on exactly this seam: innovation culture and the future of work as lived by the people managing it day to day. He has delivered more than 310 keynotes and engagements to exactly this kind of manager-level audience across 6 continents and 14 countries.
Frequently Asked Questions
Will this session prepare leaders for specific questions their teams are asking?
A short pre-session intake gathers the real questions your managers have already fielded, and the keynote responds to those directly.
Is this delivered in person or virtually?
Either works well for this format; virtual sessions are often priced under $20,000.
Does the session cover AI's effect on jobs candidly, or does it avoid the topic?
It addresses it directly and without invented promises — leaders get a straight account, not reassurance for its own sake.
How much time should we budget?
45–60 minutes covers the keynote and leaves room for leaders to ask their own questions before returning to their teams. Leaders are also welcome to submit questions anonymously ahead of time if that gets more candid input from their teams.
Work with Alex
To help your managers walk out with real answers, reach the team at /contact.
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Frequently asked questions
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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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