AI Keynote Speaker for an Employee Brown-Bag
From casual discussions to future-focused insights, Alex empowers employees to grow
FREQUENTLY FEATURED IN:
ALEX, BY THE NUMBERS
Nobody is required to attend a brown-bag, which is exactly why it works for an honest AI conversation. The people in the room chose to be there on their lunch break, which changes the dynamic entirely from a mandatory all-hands, the questions get more specific, the skepticism gets more direct, and the format tolerates a slower, more exploratory pace. That willingness to show up voluntarily is worth protecting, and it only survives if the session actually earns the lunch hour. That willingness matters more than any slide in the deck.
Why employee brown-bags are different
A brown-bag audience self-selects for curiosity, not compliance. That means the session can go deeper into specifics, how agentic AI actually works, where it breaks, what a real workflow looks like, without needing to spend the first ten minutes justifying why the topic matters at all.
The informal setting also lowers the bar for admitting confusion. Employees who would not ask a basic question in a company-wide all-hands will ask it over lunch in a smaller room, which means a brown-bag often surfaces the real gaps in understanding that a bigger, more formal session never reaches.
Word of mouth matters more here than in a mandatory session. A brown-bag that delivers real substance gets talked about, and the next one fills up faster; one that feels like a recycled all-hands segment quietly kills attendance for future sessions. The informal format raises the bar, it doesn't lower it.
There's a spillover benefit worth noting. Employees who leave a brown-bag with real understanding often become informal translators for colleagues who didn't attend, which extends the session's value well past the room it was actually delivered in.
There's a scheduling advantage worth mentioning too. Because attendance is voluntary, a brown-bag can run at whatever cadence actually fits demand, whether that's a single session or a recurring monthly slot, without the coordination overhead a mandatory company-wide meeting requires.
What this keynote delivers
- A relaxed, substantive walkthrough of agentic AI pitched for genuine curiosity, not compliance
- Room for the basic questions employees are hesitant to ask in bigger, more formal settings
- Concrete examples of where AI actually helps daily work, without inflated promises
- An informal Q&A structure that can run long if the room is engaged
- A low-pressure entry point for employees who are AI-curious but have not found the right on-ramp yet
Why Alex for employee brown-bags
Alex is a practitioner, not a futurist, and that shows up most in an informal format like this one; he is comfortable fielding basic and advanced questions in the same session without defaulting to a rehearsed keynote structure. His 98% audience recommendation rate reflects sessions built to earn attention rather than assume it, which matters most in a format nobody's required to attend.
Frequently Asked Questions
How is a brown-bag different from a full keynote booking?
It is more conversational and shorter, typically structured around open discussion rather than a formal keynote arc, though the underlying substance is the same.
What is a typical length for a brown-bag session?
Usually 45-60 minutes including open Q&A, sometimes shorter for a strict lunch-hour window.
Is this available virtually for remote employees?
Yes, and virtual sessions are often under $10,000, which fits a brown-bag typically smaller budget.
Do we need to prepare specific questions in advance?
Not necessary, the format works well with live, unscripted questions, though submitting a few in advance can help shape the opening. Reach out with a few candidate dates and the logistics can be worked out from there.
Work with Alex
To give curious employees a real, unhurried AI conversation, reach out to set up a brown-bag.
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Frequently asked questions
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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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