AI Clarity for the Executive Lunch-Learn Series
From strategy updates to AI trends, Alex makes short sessions impactful
FREQUENTLY FEATURED IN:
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 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 Executive 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
Ask five executives on the same leadership team what the company's actual position on AI is, and you will often get five different answers — one cautious, one evangelical, one convinced it's overhyped. A lunch-learn slot rarely fixes that; it usually just adds a sixth opinion to the mix. The disagreement rarely gets voiced directly; it shows up instead as five executives each quietly running their own AI initiative.
Why the executive lunch-learn is different
Most AI content aimed at executives is built to inform, not to align. That's the gap this format keeps exposing: individually, executives can be reasonably fluent on AI, but collectively they still walk out of meetings without a shared read on how aggressive, cautious, or sequenced the company should be. A lunch-learn session that only delivers information leaves that gap untouched.
The politics compound the problem. Whoever's function is furthest along with AI tends to dominate the conversation, whoever's function feels most exposed tends to go quiet, and the result is a leadership team that sounds aligned in the room and splinters the moment they're back running their own departments.
Fixing that isn't about adding more AI facts. It's about giving the group a common frame — one set of definitions, one honest picture of where the technology is and isn't ready — that survives past the lunch hour and shows up in how the team actually talks about AI afterward.
Left alone, that quiet divergence compounds. A function that moves fast on AI without a shared frame ends up ahead of budget approval it never actually received, while a cautious function falls further behind without anyone deciding that was the intent. Neither outcome was chosen; both just happened by default.
A lunch-learn built to align rather than inform treats that drift as the actual problem to solve, not a side effect to tolerate. The measure of success isn't whether executives found the hour interesting; it's whether the next planning cycle references one shared position instead of five separate ones.
What this keynote delivers
- One shared, plain-English frame for agentic AI and the future of work that every executive in the room leaves using the same way
- A candid map of where the company's functions are actually positioned relative to each other on AI adoption
- A structure for talking about AI risk and opportunity that doesn't depend on whichever function is loudest that quarter
- Direct, undiplomatic answers to the disagreements this specific leadership team hasn't resolved on its own
- A short set of questions the group can carry into its next planning cycle
Why Alex for the executive lunch-learn
Alex advises the California State University system's AI Working Group on exactly this kind of cross-functional alignment problem, at a scale where dozens of leaders have to land on one workable position. That's a different skill than delivering information, and it's the one this format actually needs. He has also led innovation tracks for three Olympic Games, another setting where dozens of stakeholders had to align fast under a hard deadline.
Frequently Asked Questions
What should our executive team prepare before the session?
A short list of where your leaders currently disagree about AI priorities is more useful preparation than any pre-reading.
Does this pair with a follow-up workshop?
Often, yes. Some teams follow the lunch-learn with 60–90 minutes of facilitated discussion to work through specific decisions.
What does this cost, roughly?
Fees are five figures depending on format; a lunch-learn session delivered virtually is often under $10,000.
Does Alex sell an AI platform or consulting engagement afterward?
No. He sells nothing from the stage and has no vendor relationships to promote. Sessions typically run in-person for a single site or virtually when the leadership team is spread across multiple locations.
Work with Alex
If your leadership team needs one AI position instead of five, start the conversation 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 the former Managing Director of Innovation Strategy and Head of Global Innovation Centers at Cisco, he ran a $1.1B portfolio that generated $400M+ in revenue 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 agreement: 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 Managing Director of Innovation Strategy and Head of Global Innovation Centers at Cisco, 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 rather than 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 was Managing Director of Innovation Strategy and Head of Global Innovation Centers at Cisco. He 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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