AI Keynotes for Planning Retreats
From Fortune 10 retreats to startup sessions, Alex ensures planning is future-ready
FREQUENTLY FEATURED IN:
ALEX, BY THE NUMBERS
Every planning retreat now carries an unspoken tension: the strategy you set in the room will be executed in a year when AI keeps changing how the work gets done, yet most planning still treats it as one agenda item instead of a force acting on every goal. This session puts AI where it belongs, inside the plan rather than beside it.
Why planning retreats are different
A planning retreat is not a conference. The people in the room own the numbers they are about to commit to, and they will be held to them. That changes what they need from an outside voice. They do not want a tour of what AI might do someday; they want to know which of next year's assumptions are about to break, and where the same headcount can now carry more.
The hard part is sequencing. Leadership teams tend to either bolt an "AI initiative" onto the plan as its own swim lane, or fold it in so vaguely that no one owns it. Both fail. AI touches revenue, cost, hiring, and risk at the same time, so it cuts across every function's plan, which means it surfaces turf questions most retreats would rather avoid: who owns the budget, whose roles change, and which favored projects lose funding.
There is also a pacing problem. Annual plans assume a stable operating environment for four quarters. That assumption is weaker than it used to be, and a good retreat builds in checkpoints rather than pretending the plan is fixed on day one.
One more dynamic is worth planning for. A retreat compresses a year of decisions into a day or two, and AI is the kind of topic that can swallow the whole agenda if it is left open-ended. The teams that use the time well arrive with a narrow set of questions they need answered, rather than a broad "what about AI" conversation that circles without landing. Framing those questions ahead of time is part of the work, and it is where a focused outside voice helps most, keeping the discussion tied to your decisions instead of drifting into the general debate everyone has already had a dozen times.
What this keynote delivers
- A clear read on which of your planning assumptions AI is most likely to change within the cycle
- A shared vocabulary so the leadership team debates the same thing instead of talking past each other
- A way to place AI inside existing functional plans rather than as an orphaned initiative no one owns
- Language for the trade-offs, so budget and headcount conversations stay grounded
- A short list of checkpoints to revisit mid-year, before the plan quietly drifts
Why Alex for planning retreats
Alex is a practitioner, not a futurist. 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, which meant making exactly these calls: what to fund, what to kill, and how to defend the sequence to a leadership team that had to live with it. He speaks to planning groups as someone who has sat on their side of the table.
Frequently Asked Questions
Can the session be built around our actual planning agenda?
Yes. Alex works with the organizer beforehand to understand your priorities and constraints, then shapes the talk so it feeds directly into the decisions you are already trying to make.
Where does this fit in a two-day retreat?
Most teams place it early, often as a 45-60 minute keynote on the first morning, so it frames the strategic discussion that follows rather than competing with it.
Is this a keynote or a working session?
Either. Some teams want a sharp talk to set the tone; others want that followed by 60-90 minutes of facilitated discussion tied to their plan. Both are on the table.
Do participants get anything to take away?
Yes. Alex can provide a short set of takeaways or a summary of the key questions raised, so the discussion carries into the plan rather than staying in the room. What that includes is agreed with the organizer in advance.
Work with Alex
If AI belongs inside your next plan rather than beside it, start the conversation at /contact.
Explore more AI keynotes
- Product Launches
- Productivity Workshops
- Risk & Governance Workshops
- Risk & Compliance Summits
- Professional Associations in Education
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)
