An AI Keynote Designed for Your Executive Offsite
From board retreats to strategic summits, Alex equips executives to thrive in disruption
FREQUENTLY FEATURED IN:
ALEX, BY THE NUMBERS
An offsite is the one time your entire leadership team is in a room with the day-to-day switched off. Spending part of it on AI isn't the question anymore — the question is whether the session produces alignment and decisions, or just another round of interesting-but-inert conversation. This keynote is engineered for the former.
Why an executive offsite is different
A conference keynote performs for a thousand strangers. An offsite session works for twelve people who have to run a company together on Monday. That changes everything. The room already knows the headlines; what it usually lacks is a shared baseline — the CFO, CMO, CTO, and CHRO each hold a different mental model of what AI is and what it means for their function, and strategy built on misaligned mental models quietly falls apart in execution.
Offsites allow something no stage allows: candor. Behind closed doors, executives can say the true things — "I don't understand what our AI spend is buying," "our pilots are theater." A good outside voice makes those admissions safe, then converts them into decisions. That requires a speaker who can go off-script, take hard questions, challenge the room, and hold his own with people paid to be skeptical.
Because the audience is the actual decision-making body, the session can end differently: not with applause, but with commitments — which bets to make, which experiments to kill, who owns what.
What this keynote delivers
- A shared, jargon-free baseline on AI and agentic AI that levels the room in the first thirty minutes
- A candid outside read on where companies like yours are overinvesting, underinvesting, and fooling themselves
- A working framework for sorting your AI initiatives: scale, fix, or kill
- Facilitated debate on the two or three AI decisions your team has been circling but not making
- A closing alignment exercise so the offsite ends with owners and next steps
Why Alex for an executive offsite
Alex has sat where your team sits — he ran a $1.1B innovation portfolio that generated $400M+ in revenue as former Managing Director of Innovation Strategy and Head of Global Innovation Centers at Cisco, so he's argued for budgets, killed his own projects, and defended innovation decisions to skeptical executives. Across 310+ engagements, 98% of audiences would recommend him, and the closed-room format is where he does his best work.
Frequently Asked Questions
How is this different from a standard keynote?
The talk is shorter and the interaction longer — often 30–40 minutes of framing then 60–90 minutes of facilitated decision-making.
Will Alex prepare on our specific company and industry?
Yes — offsite engagements include deeper pre-work and a session designed around the decisions on your table.
How is confidentiality handled?
Closed-door sessions are the norm; NDAs are routine and nothing is recorded without consent.
Our offsite is at a remote venue. Does Alex travel?
He's delivered engagements across six continents and 14 countries.
Work with Alex
Building your offsite agenda? Reserve the AI session early — dates go first: /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)
