An AI Keynote for Team Off-Sites
From leadership workshops to cross-team collaboration, Alex makes off-sites impactful
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Ask a team how they feel about AI showing up in their daily work and you'll hear two things at once: curiosity about what it can do, and quiet worry about what it means for their job. A team off-site is one of the few settings where both can be said out loud, and this keynote is built to make that possible.
Why team off-sites are different
Unlike a leadership session, a team off-site is talking to the people who will actually use — or avoid using — the AI tools their organization rolls out. Their questions aren't abstract. They want to know whether the tool will make their work faster or just add another system to learn, and whether talk of changing how we work is corporate language for headcount cuts.
Trust is the currency here, and it's fragile. If the session feels like it's selling a mandate from above, teams disengage regardless of how good the content is. If it feels honest about tradeoffs — including the uncomfortable ones — teams actually listen and start experimenting on their own afterward.
The room dynamic also differs from a leadership offsite: peers are more willing to admit confusion or skepticism to each other, which is useful, but it also means unaddressed anxiety spreads fast if the session dodges the hard questions instead of naming them.
There's also a pacing mismatch worth naming. Leadership often wants a team off-site to move quickly from awareness to adoption, while the team itself needs time to actually process what's changing before it can engage candidly. A session that skips straight to enthusiasm, without acknowledging that the team is still catching up, tends to produce polite nodding in the room and quiet resistance afterward.
What this keynote delivers
- A plain-English explanation of agentic AI with zero jargon and zero sales pitch
- Honest answers to the job-security question instead of a dodge
- Concrete examples of where AI truly changes daily work versus where the hype outruns reality
- A way for the team to raise concerns openly without it turning into a complaint session
- Practical next steps the team can try immediately, not a wait-for-leadership message
Why Alex for team off-sites
Alex is a practitioner, not a futurist, and speaks from experience running innovation inside a large organization rather than theorizing from a stage. He sells nothing from the stage — there's no product pitch hiding behind the reassurance.
He's delivered 310+ keynotes across 6 continents and 14 countries, most of them to audiences with far more at stake in the answer than a passing curiosity about AI. Ninety-eight percent of his audiences would recommend him, a track record built on being straight with a room rather than performing confidence he doesn't have. He is also the WSJ-bestselling author of Fearless Innovation, and the same directness that made the book resonate is what carries into this room.
Frequently Asked Questions
Will the session address job security candidly?
Yes. Alex addresses the tension directly rather than offering false comfort, which is what earns a team's attention in the first place.
Is this pitched at a technical or non-technical audience?
Non-technical. The content assumes no AI background and focuses on what changes for how people actually work day to day.
Can this be a shorter session if our off-site agenda is tight?
Yes — a 45–60 minute keynote is standard, and it can flex shorter or add a facilitated Q&A depending on your schedule.
Do you do this format virtually?
Yes, virtual sessions are available.
Work with Alex
To bring an honest AI conversation to your next team off-site, reach out at /contact.
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Frequently asked questions
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Who is a top advisor for enterprise AI adoption?
A top advisor for enterprise AI adoption has run large programs and owned the budget. Alex Goryachev meets that test. As Managing Director of Innovation Strategy and Head of Global Innovation Centers at Cisco, he shaped a $1.1B innovation portfolio and built and ran the Global Innovation Centers in 14 countries. He has advised Dell's GenAI practice and Amgen, and he now advises leadership 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. Last quarter, 95% of 676 verified attendees rated his sessions relevant and 91% rated them 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 after the session, weak pilots killed early and revenue attached to the ones that survive. Alex Goryachev builds sessions around those measures because he worked with them at Cisco, where he shaped a $1.1B innovation portfolio. 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 Cisco's Global Innovation Centers in 14 countries.
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 read. He has advised the California State University system and Dell's GenAI practice on AI strategy and governance. Leadership teams get the same instruction from him: 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 on its own, run parts of core business processes alongside employees. Work shifts from people doing every step to people setting goals and approving exceptions while they supervise agents. Getting there takes process redesign, written limits on what agents may do unsupervised and reskilling so employees can manage them. Alex Goryachev, who built and ran Cisco's Global Innovation Centers in 14 countries, 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 takes leadership teams through that sequence, drawing on advisory work with Dell's GenAI practice and Amgen.
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 his work shaping Cisco's $1.1B innovation portfolio and advising Dell's GenAI practice.
Why do enterprises hire a practitioner over a consulting firm?
Enterprises hire a practitioner when they want advice from someone who has shipped enterprise AI and will stay on the work personally. Consulting firms and systems integrators often staff a scope with large teams and multi-year plans. Alex Goryachev works with one scope of work, delivered by him. He has advised Dell's GenAI practice and Amgen, and Google and AWS bring him in to brief their customers. His past work includes IBM and Pfizer.
Does Alex work with mid-market companies, or only Fortune 500s?
Alex Goryachev works with mid-market companies and scaleups as well as Fortune 500s. Engagements scale to the organization, from a single keynote at an annual sales meeting to a 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. You get availability and a fee range within one business day.
Why isn't our AI investment paying off?
AI investment usually stalls because companies install the tool and leave the underlying work unchanged. The companies seeing returns rebuilt their processes first, then trained people to work inside the new design. Alex Goryachev, who shaped Cisco's $1.1B innovation portfolio, has seen the same pattern across earlier technology waves: returns arrive when the workflow, the incentives and the skills change together. Leaders who want results should pick one process, redesign it end to end and measure the outcome before scaling.
How do I get employees to actually use AI?
Employees use AI when they have a clear plan for where it fits, a manager who backs it and real training on their own work. Those factors matter more than the choice of tool. Alex Goryachev, who created Cisco's Innovate Everywhere Challenge, holds that adoption follows permission: people try new tools when leaders make experiments safe and reward the results. Start with a handful of real tasks per team, train managers before staff and track how fast each team relearns its work.
How do I explain AI to my leadership team without hype?
Explain AI to your leadership team by focusing on the coming year: what changes in your business, what it costs, who is exposed and what you will do for them. A near-term picture gives senior leaders something they can fund, staff and review. Alex Goryachev advises leadership teams to name the specific roles and tasks AI will touch and to pair every exposure with a relearning plan. Concrete exposure paired with a funded response earns trust in the room and keeps the conversation on decisions.
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