An Executives Off-Site Session Built for What Won't Be Said Elsewhere
From board retreats to senior planning sessions, Alex drives alignment and vision
FREQUENTLY FEATURED IN:
ALEX, BY THE NUMBERS
Executives say one version of their AI opinions in a board update and a different version once the door closes and it's just peers in the room. An off-site is one of the few places that second version gets to exist out loud. The version of the conversation that happens after the doors close is rarely the version anyone would put in a memo.
Why this executives off-site is different
Away from the office, away from direct reports and note-takers, executives tend to admit things they wouldn't in a normal meeting: genuine uncertainty about AI, doubts about their own company's readiness, private worry about being behind competitors. That candor is valuable precisely because it doesn't happen anywhere else on the calendar.
Protecting that candor takes deliberate design. If the session feels like it could be repeated outside the room, or summarized in a memo, executives revert to the same guarded, board-ready answers they give everywhere else, and the off-site setting stops mattering.
The actual output of a session like this isn't a set of slides. It's a more honest shared understanding among the executive group of where the company truly stands on AI, which tends to produce better decisions later than a polished but guarded conversation ever would.
Executives calibrate what they say based on who's listening and what might get repeated, which is a reasonable habit everywhere except the one setting specifically designed to get past it.
Protecting that setting means being explicit, early, that nothing said in the room becomes a talking point outside it, and then actually holding that line rather than quietly summarizing the discussion in a follow-up email anyway.
What this keynote delivers
- A closed-room framing of agentic AI and governance that doesn't need to survive outside the room
- Space for executives to voice doubts about their own company's AI readiness without it becoming a permanent record
- An honest comparison of where the group's real AI position sits versus its public messaging
- A candid read on competitive AI moves, separating genuine threats from posturing
- A private forum for questions executives wouldn't raise with direct reports present
Why Alex for this executives off-site
Alex sells nothing from the stage and holds no vendor relationships, which is exactly why executives tend to speak more freely with him in the room than with an internal facilitator or a vendor-aligned advisor. He also advises the California State University system's AI Working Group in closed sessions, where the same rule applies: candor requires knowing nothing said will leak.
Frequently Asked Questions
Is this session kept confidential?
Yes, closed executive sessions are treated as off the record by default, with an NDA available if your team requires one. That coordinator can also help identify a private space away from the main offsite agenda for this specific segment.
Who should attend this part of the off-site?
The executive group only; this format works best without direct reports or outside note-takers present. The format works equally well early in an offsite, before fatigue sets in, or as a closing session.
How long does this typically run within an off-site agenda?
Most run 60–90 minutes to leave real room for candid discussion beyond the initial framing.
What's the typical cost for this kind of closed-door session?
Fees are five figures depending on length and location; ask for specifics based on your off-site format. Scheduling for this format typically happens directly with the executive assistant coordinating the off-site. Some executive groups also use part of this time to pressure-test a position before it's shared more broadly outside the room.
Work with Alex
To create real candor at your next executives off-site, 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)
