An AI Keynote for a Single-Day Strategy and Planning Session
From global enterprises to leadership teams, Alex makes planning sessions productive
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Not every organization has the luxury of two days and a resort venue for strategic planning — plenty run this work in a single, tightly scheduled day, sometimes squeezed between other commitments. This keynote is built for that compressed format specifically, where every hour has to earn its place on the agenda.
Why a single-day planning session is different
A multi-day off-site can afford a slow build — context, then debate, then decision. A single-day session can't. The AI portion of the agenda might get ninety minutes total, sometimes less, and that time has to move from framing straight to a usable output, with none of the extended debate a longer retreat comfortably allows.
This compression actually rewards a much sharper kind of content than a longer session ever needs to be. Instead of exploring every angle of agentic AI, the session has to identify the two or three decisions that matter most for this specific planning cycle and spend the available time there, deliberately leaving less urgent questions for another day.
Organizations that deliberately choose to run planning this way also tend to want a concrete, tangible deliverable by the end of the day — not just discussion, but something written down that the team can act on immediately, since there may not be a follow-up session for months.
That constraint also changes what counts as success. A longer off-site can measure itself by the quality of the conversation; a single-day session has to measure itself by whether something specific got decided and written down before everyone scattered back to their calendars. That's a much harder bar, and it shapes how the whole day needs to be structured from the first minute.
What this keynote delivers
- A condensed AI framework built to move from framing straight through to decision within a single working day
- A short, clearly prioritized list of the AI decisions that matter most for this specific planning cycle, not a long one
- A concrete, written output the whole team can act on immediately, not just a set of discussion notes
- Clear guidance on what to explicitly defer for later rather than rush through today
- Straight talk about agentic AI scoped to this planning cycle, not a general overview
Why Alex for a single-day strategy and planning session
Alex has delivered 310+ keynotes and engagements across 6 continents and 14 countries, which means fitting substantial content into a tight, non-negotiable agenda slot is routine for him, not an exception. He runs a short discovery call well ahead of time specifically to identify the two or three decisions truly worth the day's limited time. Ninety-eight percent of his audiences would recommend him, a track record built partly on respecting how little time a single-day agenda actually has to spare.
Frequently Asked Questions
How much of our single-day agenda should we set aside for this?
Often 45–60 minutes for the keynote itself, with an additional block reserved if you want a working session to produce a written output.
Can you help us narrow down which AI decisions actually matter for this cycle?
Yes — the discovery call before the session is used specifically to identify the two or three decisions worth the day's attention.
Will we leave with something concrete, or just a good conversation?
The format is built to produce a usable output by end of day, not just discussion.
Is a virtual format available for a single-day session?
Yes, and virtual sessions are often under $10,000.
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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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