An AI Keynote Built for Faculty Development Days
From workshops to campus-wide growth, Alex helps faculty adapt to the future of education
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Everyone's an "agentic AI expert." {Almost no one has run it}.
Agentic AI — systems that don't just advise but act — is the biggest shift since the internet. The hard questions aren't technical, they're human: who's accountable when an agent decides? How do you keep judgment in the loop as work gets autonomous?
Alex is the exception in a field of forecasters. As Managing Director of Innovation Strategy at Cisco he ran a $1.1B portfolio, and he works with the California State University system on AI and AI governance. Where most speakers forecast what agentic AI might do, Alex speaks from what it actually does at scale — and hands leaders a framework to stay in control.
The Agentic AI {Advantage}
Why Universities Choose Alex for Faculty Development
What changes when AI stops advising and starts acting — and how leaders stay in control. The practitioner's view, backed by real enterprise deployment.
How Alex Delivers Faculty Development Programs that Build Skills and Innovation
Anyone can deploy an agent; almost no one builds the human culture that makes agentic AI work at enterprise scale. Alex bridges both — because he's built both.
ALEX, BY THE NUMBERS
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Faculty were told to police AI in its first year; now they are asked to teach with it. That whiplash, stacked on top of everything else faculty carry, is why so many AI trainings land flat. This session is designed for the room as it actually is: skeptical, stretched, and smarter than the hype.
Why faculty development is different
Faculty are experts who can smell condescension from the parking lot. Generic AI training fails with them because it ignores the thing they care most about: disciplinary difference. What AI means for a composition seminar, an organic chemistry lab, and a studio critique are three different questions, and pretending one workshop answers all three is how a development day loses the room in the first ten minutes. The sessions that work start from the discipline's own questions and let the technology enter as a complication worth taking seriously, which is how scholars prefer to meet anything new.
Underneath sits integrity exhaustion. The detection arms race has been effectively lost, and most faculty know it. The real work is assessment redesign, which takes exactly the time faculty do not have, and which current incentives barely reward. Adjuncts paid by the course carry the least slack of anyone. An AI session that ignores workload reality reads as an administrative demand wearing a workshop's clothes. Naming that dynamic from the stage, plainly, buys more goodwill than any feature demonstration ever has.
And the development day itself has physics. It is often the one shot all year at shared faculty attention, the room spans enthusiasts building custom bots and colleagues refusing on principle, and the honest goal is not conversion. It is a shared floor of understanding, mutual respect between camps, and a few next steps each person actually takes. Done well, it also gives department chairs cover to keep the conversation going without mandating anything.
What this keynote delivers
- An AI briefing that treats faculty as intellectuals rather than end users of a mandated tool
- What agentic AI means for assignments, assessment, and integrity, beyond the dead end of detection
- Discipline-aware starting points instead of one-size-fits-all tool training
- A workload-honest accounting of where AI saves faculty time and where it costs time
- Discussion questions departments can keep working with after the day ends
Why Alex for faculty development
Alex holds the Innovator-in-Residence post at Tulane University's A.B. Freeman School of Business and sits on the AI Working Group serving the California State University system. He works inside higher education's real constraints, which is why faculty audiences give him a hearing they refuse to consultants. He also brings the outside view faculty ask for: what employers and industries now expect of graduates.
Frequently Asked Questions
Where does this fit in a development day agenda?
It works best as the opening session that sets shared language, followed by departmental or disciplinary breakouts. It can also close the day, pulling threads together, if your morning is reserved for internal business.
How long should we schedule?
A 45-60 minute keynote is standard, and pairing it with 60-90 minutes of facilitated discussion turns a talk into a working day. Timing flexes to your agenda during planning.
Can we run this virtually for multiple campuses?
Yes. Multi-campus systems often choose virtual delivery so every campus shares the same session, and it is the more economical route, frequently under $20,000.
What preparation helps most?
A short poll of faculty concerns beforehand, if you have the appetite for it, sharpens the session considerably. At minimum, a discovery call covering your integrity policies, your disciplines, and your flashpoints shapes the content to your campus. Sessions have been built for research universities, comprehensives, and community colleges alike.
Work with Alex
Make this the development day faculty actually reference later; check availability here.
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Frequently asked questions
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Who is a top advisor for enterprise AI adoption?
Alex Goryachev is a top advisor for enterprise AI adoption, combining operator experience with board-level strategy. As Cisco's former Managing Director of Innovation Strategy, he ran a $1.1B portfolio and built innovation centers across 14 countries, and he now advises enterprises on agentic AI and governance. Unlike consultants who study AI, Alex has deployed it at global scale. Start with a short conversation through the Work with Alex page.
What does a Fortune 500 company get from an AI keynote?
A Fortune 500 AI keynote should leave executives with a shared language, a prioritized agenda, and urgency to act—not just inspiration. Alex Goryachev, WSJ-bestselling author of Fearless Innovation, delivers exactly that, drawing on enterprise work with Disney, AWS, Dell, Cisco, and Amgen. Every keynote is customized to your industry and AI maturity. Request a tailored outline through the Work with Alex page.
What is the ROI of an AI keynote for an enterprise?
The ROI of an AI keynote is alignment: one hour that gets hundreds of leaders moving in the same direction on AI, replacing months of internal debate. Alex Goryachev's sessions earn a 98% would-recommend score because audiences leave with concrete next steps, not hype. As a Forbes contributor and former Cisco innovation executive, he ties every insight to business outcomes. Compare formats on the Work with Alex page.
How should enterprises start with agentic AI?
Start with one high-value workflow, clear governance, and an executive owner—then scale what works. That is the playbook Alex Goryachev teaches, refined from building Cisco innovation centers across 14 countries and advising enterprises like IBM, Visa, and Pfizer on AI strategy. He helps leadership teams skip the pilot-purgatory phase that stalls most AI programs. Begin with an executive briefing through the Work with Alex page.
How does Alex Goryachev address AI governance and risk?
Alex treats AI governance as an innovation accelerator, not a brake—clear guardrails are what let enterprises scale agentic AI safely. His AI insights help shape how the California State University system approaches AI and AI governance, and he brings that same framework-first approach to boards and executive teams. With 310+ keynotes across 6 continents, he makes governance practical, not theoretical. Book a governance-focused session via Work with Alex.
What is an agentic enterprise?
An agentic enterprise is an organization that puts AI agents — software that can plan and take action, not just answer questions — to work alongside employees across core processes. Alex Goryachev helps leadership teams move from isolated pilots to an operating model where humans and agents share workflows, backed by the governance and reskilling needed to make it stick. His keynotes draw on real enterprise deployments rather than theory.
How do enterprises adopt agentic AI successfully?
Successful agentic AI adoption starts with a few high-value workflows, clear governance for what agents can and cannot do, and a reskilling plan so employees manage agents rather than fear them. Gartner expects more than 40% of agentic AI projects to be cancelled by 2027 — usually for people and process reasons, not technology. Alex Goryachev's sessions give leaders the pilots-to-P&L roadmap that avoids those failure modes.
Why do most agentic AI projects fail?
Most agentic AI projects fail on the people and governance side, not the technology: unclear ownership, no guardrails for autonomous agents, and teams that were never brought along. Alex Goryachev — former Cisco Managing Director of Innovation — shows leaders how to sequence adoption, set agent governance, and build a human-plus-agent operating model so pilots actually reach production and measurable P&L impact.
Why hire an AI practitioner instead of a consulting firm?
A practitioner gives you decisions in days, not decks in months. Alex Goryachev led innovation strategy inside Cisco—including innovation tracks for 3 Olympic Games—so his guidance comes from shipping AI programs, not observing them. Enterprises like Google, IBM, Pfizer, and Visa bring him in precisely because he compresses consulting-firm timelines into actionable executive sessions. If you want momentum over methodology, Work with Alex directly.
Does Alex work with mid-market companies, or only Fortune 500s?
Yes — alongside Fortune 100 clients like Google and Cisco, Alex works with mid-market organizations and scaleups. Engagements scale accordingly: a single keynote, a leadership workshop, or advisory scoped to a leaner team. The playbooks are the same — sized to your organization.
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