An Employee Off-Site AI Session Built Around Limited Time Away
From Fortune 10 boardrooms to team off-sites, Alex equips leaders and employees alike
FREQUENTLY FEATURED IN:
ALEX, BY THE NUMBERS
What is the one thing employees should walk out of this off-site actually able to do differently? If an AI session can't answer that before it's booked, it shouldn't get a slot on a day this expensive to schedule. A day away from the desk has a real cost, and every agenda slot has to earn its share of that cost back.
Why an employee off-site is different
An off-site pulls people away from their actual jobs for a day or two, which makes every agenda slot expensive in a way a regular meeting slot isn't. An AI session here has to justify that cost specifically: not general awareness, but something concrete enough that people can point to it later as time well spent away from their desks.
The agenda pressure is real. Off-sites are usually packed with team-building, planning sessions, and social time, and an AI keynote competes directly with all of it for attention that's already stretched thin by the second half of the day. A session that isn't tightly designed for this format gets treated as the nap slot.
What earns its place is a session built specifically for the constraints of the day: focused, concrete, and designed to leave people with something they'll actually use once they're back at their desks, not just something they enjoyed hearing once.
Off-site planners already know this instinctively, which is why team-building and open discussion time routinely get protected first, and any AI content has to compete for whatever's left once those priorities are set.
Winning that competition takes concreteness: a session people can point to afterward as the reason a specific task got easier, not a general afternoon of AI awareness that fades by the following Monday.
What this keynote delivers
- A tightly scoped session on agentic AI designed to earn its slot in a packed off-site agenda
- Concrete takeaways employees can point to as worth the time away from their desks
- A realistic view of what's changing in day-to-day work, without off-site-specific hype
- A format that can flex around energy levels at different points in a multi-session day
- Room for informal questions in a setting more relaxed than a normal workday meeting
Why Alex for an employee off-site
With 310+ engagements delivered across 6 continents and 14 countries, Alex has built sessions for exactly this kind of competitive, multi-session agenda, where a keynote has to earn attention rather than assume it. 98% of his audiences say they'd recommend the session, which matters most in a format where every agenda slot has to earn its place.
Frequently Asked Questions
How long should we schedule for this session at our off-site?
Most off-site sessions run 45–60 minutes, though a longer format with discussion is available if your agenda allows it. That shorter format still includes time for a few live questions, just less open discussion overall.
Can this be a keynote plus a shorter workshop segment?
Yes, some off-sites pair a keynote with 60–90 minutes of facilitated discussion later in the day. The session can also be scheduled for the morning or afternoon depending on where energy is highest in your agenda.
Will employees get anything to take back to their teams afterward?
A short set of takeaways can be provided for employees to reference once they're back at their desks.
What should we tell employees to prepare?
Nothing formal — arriving with real questions gets more value than any pre-reading would. A shorter 30-minute version is also available for off-sites with an especially tight agenda.
Work with Alex
To make your next employee off-site earn its AI agenda slot, reach out at /contact.
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 below.
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.
.svg)
