An AI Briefing for Your Board Retreat
From Fortune 10 boardrooms to executive retreats, Alex Goryachev equips leaders with tailored keynotes and workshops that help boards thrive in the AI era.
FREQUENTLY FEATURED IN:
ALEX, BY THE NUMBERS
Boards are now expected to oversee AI the way they oversee financial risk — but most directors built their careers before this technology existed, and management's AI updates tend to arrive pre-polished. A board retreat is the rare setting where directors can close that gap honestly, and this session is built precisely for it.
Why board retreats are different
A board's job with AI is not to run it — it's to govern it, and those require different knowledge. Directors don't need to know how models are trained; they need to know whether management's AI strategy is coherent, whether the risk framework is real or decorative, and whether the company is moving at the right speed for its industry. That distinction — oversight fluency versus operator fluency — is what most AI briefings get wrong.
The stakes for directors are becoming personal. AI now touches nearly every domain the board oversees: cybersecurity, financial reporting, workforce strategy, competitive positioning, legal exposure. Regulators and courts are raising expectations for what informed oversight looks like. "We didn't understand the technology" is aging badly as a defense.
There's a dynamic unique to the boardroom: directors hesitate to ask basic AI questions in front of management, and management naturally presents its AI story in the best light. An independent outside voice resets that — a shared, unfiltered baseline and license to ask the naive-sounding questions that are usually the most important.
What this keynote delivers
- A director-level understanding of AI and agentic AI — enough to govern confidently, with zero technical prerequisites
- The oversight questions boards should ask management about AI strategy, spend, risk, and talent — and how to recognize evasive answers
- A pragmatic view of AI governance: what belongs at the board, in committees, and with management
- How AI shifts the risk landscape the board already owns, from cyber to disclosure to workforce
- Candid closed-session Q&A where directors can ask anything
Why Alex for board retreats
AI governance is one of Alex's core themes — he serves on the AI Working Group advising the California State University system, one of the largest public enterprises in the country, on exactly these oversight questions. He brings operator credibility boards respect (a $1.1B portfolio that generated $400M+ in revenue at Cisco; featured in Forbes and The Wall Street Journal) and is fully independent, with no product or upsell behind the talk.
Frequently Asked Questions
Can part of the session run as an executive session without management present?
Yes — boards often find that segment the most valuable.
Our directors range from AI-curious to AI-skeptical. How does the session handle that?
By starting from governance, not technology, so no director feels behind.
How long does a board session run?
Typically 60–120 minutes, fit to the retreat agenda with the chair or corporate secretary.
Does Alex provide anything the board can use afterward?
Sessions can include a one-page set of oversight questions directors bring into future management reviews.
Work with Alex
If your next board retreat needs an independent AI briefing, contact the team at /contact.
Explore more AI keynotes
- C-Suite Alignment Sessions
- Change Management Sessions
- Conferences & Symposia
- Cross-Functional Leadership Summits
- Change Management Playbooks
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 via the form below — answers usually within one business day.
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)
