Go from AI uncertainty to clarity, confidence, and action in restaurants & QSR
From kitchens to customer apps, Alex equips restaurants with AI-driven strategies
FREQUENTLY FEATURED IN:
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 QSR Leaders Choose Alex
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 Restaurant & QSR Keynotes that Build Efficiency and Customer Loyalty
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
Delivered
6 Continents
Managed
RECOMMEND
to Sell
Where AI actually changes the restaurant and QSR business
Restaurant and quick-service margins live and die on speed, labor, and consistency. The conversation about AI in food service has been stuck on chatbots and self-order kiosks, but the real shift is agentic AI: software that does not just answer questions but takes action across the kitchen, the drive-thru, the app, and the supply chain. Alex Goryachev helps restaurant and QSR leaders cut through the noise and decide where automation belongs, where it does not, and how to move without breaking the guest experience your brand was built on.
Alex has delivered 310 plus keynotes and ran a $1.1B innovation portfolio as a former Managing Director of Innovation at Cisco. That operator's lens matters in QSR, where a promising pilot that adds three seconds to every order can quietly destroy throughput.
Agentic AI on the line, at the window, and in the app
An agentic system can watch order volume and reroute prep before a rush hits, flag a fryer running cold, adjust an upsell offer in real time based on what is actually in stock, and reconcile vendor invoices against deliveries without a manager touching a spreadsheet. Alex walks teams through concrete QSR use-cases: dynamic labor scheduling tied to predicted demand, voice AI at the drive-thru that hands off cleanly to a human, and demand forecasting that shrinks food waste on perishables.
He also tackles the objections honestly. Franchisees worry about brand consistency across hundreds of locations; crews worry about being replaced; operators worry about a system that confidently gets an allergen wrong. Alex frames AI governance as the thing that makes adoption safe at scale, drawing on his work with the California State University system on AI and AI governance.
What your audience leaves with
- A clear map of which restaurant and QSR workflows are ready for agentic AI and which are not
- Concrete use-cases for drive-thru, kitchen ops, labor scheduling, and waste reduction
- A practical way to protect brand consistency and food safety while automating
- Language to bring franchisees and crews along instead of scaring them
- A first 90-day action plan they can run without a data science team
Frequently asked questions
Will AI replace restaurant workers?
Alex's view is that agentic AI removes the worst tasks, not the people. The framing he gives audiences is about redeploying crews from inventory counts and manual scheduling toward guest experience, where they add the most value.
Can this work across a large franchise system?
Yes, and governance is the reason. Alex shows how shared guardrails let hundreds of locations adopt the same AI tools while protecting brand standards and food safety, the exact challenge that sinks most uncoordinated rollouts.
Is this keynote technical or strategic?
It is strategic and operator-grade. As a WSJ-bestselling author of Fearless Innovation, Forbes contributor, and LinkedIn Top AI Voice, Alex translates AI into decisions a regional VP or franchisee can act on Monday.
Work with Alex
Bring a keynote that sends your restaurant and QSR leaders home with clarity and a plan. Contact Alex to check availability for your next event.
310+ Keynotes, Workshops & Advisory Engagements
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Turn your next event into AI and innovation action.
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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?
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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