Employee Lunch-Learn Keynote With Real Substance
From future trends to daily practices, Alex equips employees to learn in every session
FREQUENTLY FEATURED IN:
ALEX, BY THE NUMBERS
Forty-five minutes is not much time to say anything real about AI, and yet that's exactly the window most lunch-learn sessions get, which means the honest question for anyone booking one is whether real substance is even possible in that compressed a slot. Whatever doesn't land in that window simply doesn't land at all; there's no second pass to catch it.
Why the employee lunch-learn is different
The lunch-learn format compresses everything a longer session would normally have room for: context-setting, audience questions, a slower build toward the main point. Getting real substance into that shorter window means cutting straight to the two or three ideas that actually matter and skipping everything else, which is a harder editing exercise than it sounds. That's a harder needle to thread than it sounds, and most short-format sessions don't manage it.
There's a temptation in this format to trade substance for entertainment, since a shorter, lighter session is easier to keep engaging. But employees can tell the difference between a session that was genuinely distilled down to its essentials and one that was simply made shallow to fit the clock, and only the first earns real respect for the next one booked.
Getting the compression right means the content should feel complete, not like a preview of a longer talk employees didn't get to hear. Sessions that try to cram in everything a longer keynote would cover usually end up rushing the ending, which is the part audiences remember most. Committing early to what gets cut, rather than trying to save it all, is what makes a compressed session feel complete instead of hurried.
What this keynote delivers
- A distilled set of two or three ideas that actually matter, not a shortened version of a longer talk
- Content that feels complete within a compressed window, rather than like a trailer for more
- A pace built specifically for a short-format session, not slides trimmed down from something bigger
- Real substance employees can act on immediately, despite the limited time
- A tone that respects the audience's short attention window without talking down to it
Why Alex for the employee lunch-learn
Alex is featured in Forbes and The Wall Street Journal, coverage built on the same skill this format demands: distilling a real idea down to what actually matters, without diluting it. He is also a LinkedIn Top Voice, a platform built entirely around saying something substantive in a format that rewards brevity, the same discipline this session applies to a compressed midday slot. A session that respects the clock and still lands its point earns the kind of attention that makes the next one worth scheduling in the first place.
Frequently Asked Questions
Can a session this short actually cover something substantive about AI?
Yes, the content is built specifically for this compressed window, focused on a small number of ideas rather than a trimmed-down longer talk. That distinction is easy to claim and considerably harder to actually deliver.
What's the typical length for this compressed format?
Most sessions run 30–45 minutes total, including time for a few audience questions at the end.
Is virtual delivery available for this shorter format?
Yes, virtual sessions work well for this shorter format.
How is this different from the standard employee lunch and learn format?
The emphasis here is on distilled substance within a tight window, rather than the casual, come-as-you-can tone of a broader lunch and learn series. Getting that balance right is worth the extra editing effort every single time.
Work with Alex
To get real substance into a short session that still respects the clock, reach out.
Explore more AI keynotes
Or browse the full directory: AI Keynotes by Event Format.
310+ Keynotes, Workshops & Advisory Engagements
.svg.webp){kind=logo}
Turn your next event into AI and innovation action.
These aren't just better ways to use ChatGPT, or create short-term buzz. This is what the most influential organizations on earth use to shape the future.
Check Alex's availability
Frequently asked questions
If you don't see what you need, message Alex directly using the form above.
Who is a top advisor for enterprise AI adoption?
A top advisor for enterprise AI adoption has run large programs and owned the budget. Alex Goryachev meets that test. As Managing Director of Innovation Strategy and Head of Global Innovation Centers at Cisco, he shaped a $1.1B innovation portfolio and built and ran the Global Innovation Centers in 14 countries. He has advised Dell's GenAI practice and Amgen, and he now advises leadership 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. Last quarter, 95% of 676 verified attendees rated his sessions relevant and 91% rated them 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 after the session, weak pilots killed early and revenue attached to the ones that survive. Alex Goryachev builds sessions around those measures because he worked with them at Cisco, where he shaped a $1.1B innovation portfolio. 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 Cisco's Global Innovation Centers in 14 countries.
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 read. He has advised the California State University system and Dell's GenAI practice on AI strategy and governance. Leadership teams get the same instruction from him: 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 on its own, run parts of core business processes alongside employees. Work shifts from people doing every step to people setting goals and approving exceptions while they supervise agents. Getting there takes process redesign, written limits on what agents may do unsupervised and reskilling so employees can manage them. Alex Goryachev, who built and ran Cisco's Global Innovation Centers in 14 countries, 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 takes leadership teams through that sequence, drawing on advisory work with Dell's GenAI practice and Amgen.
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 his work shaping Cisco's $1.1B innovation portfolio and advising Dell's GenAI practice.
Why do enterprises hire a practitioner over a consulting firm?
Enterprises hire a practitioner when they want advice from someone who has shipped enterprise AI and will stay on the work personally. Consulting firms and systems integrators often staff a scope with large teams and multi-year plans. Alex Goryachev works with one scope of work, delivered by him. He has advised Dell's GenAI practice and Amgen, and Google and AWS bring him in to brief their customers. His past work includes IBM and Pfizer.
Does Alex work with mid-market companies, or only Fortune 500s?
Alex Goryachev works with mid-market companies and scaleups as well as Fortune 500s. Engagements scale to the organization, from a single keynote at an annual sales meeting to a 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. You get availability and a fee range within one business day.
Why isn't our AI investment paying off?
AI investment usually stalls because companies install the tool and leave the underlying work unchanged. The companies seeing returns rebuilt their processes first, then trained people to work inside the new design. Alex Goryachev, who shaped Cisco's $1.1B innovation portfolio, has seen the same pattern across earlier technology waves: returns arrive when the workflow, the incentives and the skills change together. Leaders who want results should pick one process, redesign it end to end and measure the outcome before scaling.
How do I get employees to actually use AI?
Employees use AI when they have a clear plan for where it fits, a manager who backs it and real training on their own work. Those factors matter more than the choice of tool. Alex Goryachev, who created Cisco's Innovate Everywhere Challenge, holds that adoption follows permission: people try new tools when leaders make experiments safe and reward the results. Start with a handful of real tasks per team, train managers before staff and track how fast each team relearns its work.
How do I explain AI to my leadership team without hype?
Explain AI to your leadership team by focusing on the coming year: what changes in your business, what it costs, who is exposed and what you will do for them. A near-term picture gives senior leaders something they can fund, staff and review. Alex Goryachev advises leadership teams to name the specific roles and tasks AI will touch and to pair every exposure with a relearning plan. Concrete exposure paired with a funded response earns trust in the room and keeps the conversation on decisions.
.svg)
