AI Keynote Speaker for Board and Leadership Retreats
From corporate boards to executive teams, Alex makes retreats transformative
FREQUENTLY FEATURED IN:
ALEX, BY THE NUMBERS
Boards and leadership teams almost never discuss AI in the same room at the same time, which means the board approves a strategy management never quite explained, and management executes a plan the board never quite understood. A joint retreat is the one setting built to close that loop.
Why board and leadership retreats are different
Most AI retreats pick one audience: directors get an oversight briefing, or executives get a strategy session, and the two groups' understanding drifts apart from there. When a board and its leadership team sit through the same session together, the conversation changes. Directors hear the operational reality management is working with; executives hear the questions directors will eventually ask, before those questions arrive as a surprise in a formal board meeting.
The dynamic in the room is delicate. Executives don't want to look unprepared in front of their board; directors don't want to look uninformed in front of management. A joint session has to give both groups room to admit what they don't yet know about AI without it becoming a performance review. Done well, it produces a shared vocabulary the two groups can actually use in the follow-up board meeting.
One retreat rarely settles the question permanently, either. AI capabilities and organizational exposure shift faster than a board's typical meeting cadence, which means the shared understanding built in a single joint session can go stale within a year if there's no mechanism for revisiting it. Boards and leadership teams that treat this retreat as the start of an ongoing rhythm, a standing agenda item, a periodic joint check-in, get more lasting value than those who treat it as a one-time event to check off and move past. New directors joining the board mid-cycle face a particular disadvantage here. They inherit whatever shared understanding the existing board and leadership team built in a prior retreat without having been part of building it, which can leave them quieter in AI discussions than their actual judgment warrants. Boards that build a lightweight onboarding version of this session for new members protect against that quiet erosion of collective fluency.
What this keynote delivers
- A shared AI vocabulary that works for both directors and the executive team in the same room
- Clarity on which AI decisions belong at the board level versus the management level
- The oversight questions directors should be asking, surfaced before the next formal meeting
- A candid space for executives to name where the AI strategy is still unsettled
- A framework for keeping board and management understanding aligned going forward
Why Alex for board and leadership retreats
Alex 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, giving him direct experience translating technology strategy for both board-level and executive audiences. AI governance and agentic AI are core themes he brings into exactly these joint sessions.
Frequently Asked Questions
Does this session work when directors and executives have very different AI fluency?
Yes — the format is built for mixed fluency, and it's the most common reason clients book a joint session in the first place.
Can part of the retreat run as a leadership-only or board-only segment?
Regularly. Many retreats open jointly, then split into a board executive session and a separate leadership working block.
How long does a combined board and leadership session typically run?
Most run 60–120 minutes depending on how much facilitated discussion follows the keynote portion.
Is our strategic discussion protected if we share specifics beforehand?
Yes — discovery conversations are confidential, and nothing discussed is repeated to other clients.
Work with Alex
To get your board and leadership team speaking the same AI language, start a conversation at /contact.
Explore more AI keynotes
- Board Retreats
- C-Suite Alignment Sessions
- Change Management Sessions
- Conferences & Symposia
- Capital Markets & Asset Management
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 above.
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.
.svg)
