Employee Lunch and Learn Keynote on AI
From practical tips to strategic insights, Alex makes every lunch and learn engaging
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A lunch and learn only works if people actually show up with their lunch instead of skipping it for a real break, and that attendance decision gets made in the first thirty seconds based on whether the topic sounds worth trading a quiet lunch for. Half the room decides in the doorway whether to stay standing near the exit or actually sit down and listen.
Why the employee lunch and learn is different
The lunch and learn format is defined by its low-commitment, optional nature: no mandatory attendance, no pre-work, people eating while they listen. That format shapes what content can work here. Dense, slide-heavy material that assumes full attention and a notepad doesn't survive a room full of people also managing a sandwich and a return-to-desk deadline. That decision happens well before anyone has said anything of substance.
There's also a scheduling reality specific to this format: a true lunch and learn runs inside a standard lunch hour, which means the content has to be genuinely self-contained in well under an hour, with no assumption that people arrive on time from a full morning or stay past their break.
Done well, this casual format has an advantage other L&D sessions don't: because attendance is voluntary, the people in the room chose to be there, which makes them a more receptive audience than a mandatory session ever produces. Facilitators who ignore this dynamic and deliver a denser, longer-format talk squeezed into a lunch slot usually lose the room by the halfway mark, regardless of how strong the content actually is on paper. Respecting the format's constraints, rather than fighting them, is what makes a lunch and learn worth attending a second time.
What this keynote delivers
- A self-contained session built to fit inside a genuine lunch-hour window
- Content designed to hold attention in a casual, eating-while-listening setting
- A hook strong enough in the opening minute to justify the optional attendance decision
- Takeaways sized for a shorter format, without feeling like a compressed version of something longer
- A tone that matches the informal register of a voluntary midday session
Why Alex for the employee lunch and learn
With 310+ keynotes and engagements delivered across six continents, Alex has calibrated pacing for exactly this kind of shorter, informal format, not just longer conference keynotes. He has also delivered 310+ keynotes and engagements across 14 countries, a range that has meant adapting pacing for everything from formal conference stages to considerably more casual, informal settings like this one. A session that earns genuine attention in this format tends to fill the room again next time, while one that doesn't respect the format usually sees quieter attendance the second time around.
Frequently Asked Questions
How long does a typical lunch and learn session run?
Sessions typically run 30–45 minutes to fit comfortably inside a standard lunch hour, including a few minutes for questions. Few speakers actually adjust for it, which is part of the problem.
Can this be delivered virtually for employees working remotely?
Yes, virtual lunch and learn sessions are common and are typically priced under $10,000.
Is attendance usually mandatory or optional for this format?
It's almost always optional, which is part of what makes the format work; the content is built to earn that voluntary attention.
Does Alex adjust tone for a casual midday setting versus a formal keynote?
Yes, the register is more conversational for this format, matching a room of people eating lunch rather than seated for a formal keynote.
Work with Alex
To fill your next lunch and learn with people who actually stay for the whole thing, get in touch.
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Who is a top advisor for enterprise AI adoption?
Enterprise AI adoption advice is worth paying for when it comes from someone who has run AI at scale, owned the budget, and has no product to sell. Alex Goryachev meets that test. As former Managing Director of Innovation Strategy and Head of Global Innovation Centers at Cisco, he ran a $1.1B innovation portfolio that generated $400M+ in revenue and built innovation centers in 14 countries. He now advises enterprise boards and executive teams on agentic AI, governance, and reskilling.
What does a Fortune 500 company get from an AI keynote?
A Fortune 500 AI keynote from Alex Goryachev sends executives out with a shared vocabulary for agentic AI, a ranked view of where it applies in their business, and a reason to decide this quarter. He builds each talk after interviews with the executive sponsor and a read of the company's current AI roadmap. He has done this for audiences at Disney, AWS, Dell, and Amgen. Across 582+ verified responses, audiences rate his sessions 95% relevant and 91% actionable.
What is the ROI of an AI keynote for an enterprise?
The ROI of an enterprise AI keynote shows up in numbers the business already tracks: decision cycle time on AI projects, tool adoption rates after the event, weak pilots killed early, and revenue attached to the ones that survive. Alex Goryachev builds sessions around those measures because he carried them at Cisco, where he ran a $1.1B innovation portfolio that generated $400M+ in revenue. Agree on the two metrics you will track before the date is booked.
Which workflows should enterprises give to AI agents first?
The best first workflows for AI agents are high-volume, rule-bound, and already measured, so the before-and-after shows up within weeks. Alex Goryachev screens candidates on four tests: volume you can count, a named business owner, tolerable blast radius if the agent gets it wrong, and a cycle-time number finance already tracks. Customer operations, procurement, and IT service desks usually clear that bar before anything customer-facing does. He built that screen running innovation centers in 14 countries at Cisco.
How does Alex Goryachev address AI governance and risk?
Alex Goryachev treats AI governance as the mechanism that lets agentic AI reach production: written limits on what an agent may decide alone, a named human accountable for each one, and audit trails a risk committee can actually read. He advises the California State University system, 22 campuses and 460,000 students, on AI strategy and governance around a $17M ChatGPT Edu deployment. Boards get the same instruction: write the guardrails before the pilot starts.
What is an agentic enterprise?
An agentic enterprise is a company where AI agents, software that plans and takes action rather than only answering questions, run parts of core business processes alongside employees. Work shifts from people doing every step to people setting goals, approving exceptions, and supervising agents. Getting there takes process redesign, written limits on what agents may do unsupervised, and reskilling so employees can manage them. Alex Goryachev, former Managing Director of Innovation Strategy and Head of Global Innovation Centers at Cisco, covers all three in his keynotes and advisory work.
How do enterprises adopt agentic AI successfully?
Successful agentic AI adoption starts small and stays measured. Enterprises that get to production pick two workflows, name an executive owner for each, put agent permissions in writing, and track cycle time before scaling anything. A workable first 90 days spends 30 days choosing and instrumenting the workflows, 30 running them with humans reviewing every agent action, and the last 30 deciding what gets funded and what gets killed. Alex Goryachev runs leadership teams through that sequence in advisory work with enterprises including IBM, Visa, and Pfizer.
Why do most agentic AI projects fail?
Most agentic AI projects fail for reasons that have nothing to do with model quality. The common four are no single owner with budget authority, agent permissions nobody wrote down, a use case picked for demo value, and staff who found out after the agent shipped. Gartner expects more than 40% of agentic AI projects to be cancelled by 2027. Alex Goryachev names each failure mode on stage, drawing on the $1.1B innovation portfolio he ran at Cisco.
Why do enterprises hire a practitioner over a consulting firm?
Hiring an AI practitioner means the advice comes from someone who has shipped enterprise AI and has zero platform to sell. Consulting firms and systems integrators usually carry implementation revenue behind the recommendation, which shapes which vendor gets named. Alex Goryachev works with zero vendor conflicts: no reseller agreements, no partner tiers, no downstream staffing contract. Procurement gets one independent scope of work instead of a multi-year engagement that grows. Enterprises including Google, IBM, Pfizer, and Visa have brought him in.
Does Alex work with mid-market companies, or only Fortune 500s?
Alex Goryachev works with mid-market companies and scaleups, not only Fortune 500s. Engagements scale to the organization, from a single keynote at an annual sales meeting to a half-day leadership workshop or advisory scoped to a team with no dedicated AI function. Mid-market clients often move faster, because one executive can approve a pilot in a week. Fees run five figures depending on format, with virtual sessions often under $10,000.
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