AI strategy from someone who {ran the programs} — not someone who studied them.
Most AI strategy advisory is built on frameworks and pattern-matching. Alex Goryachev spent years running global AI innovation programs inside a Fortune 100 organization — a $1.1B portfolio, three Olympic Games, real products shipped — building the systems that made AI scale. Today he advises Dell and Amgen on GenAI strategy. That's a different kind of counsel.
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What separates practitioner advisory from consulting.
The AI strategy consulting market is crowded with firms that have studied transformation and speakers who talk about it. Neither is the same as having led it. Here is what that difference looks like in practice.
Alex Goryachev
Big-Firm Consulting
Speaker-Only Advisors
Concrete outputs, not slide decks full of frameworks.
Every advisory engagement produces something actionable. The format varies; the standard does not.
AI Readiness Assessment
An honest read of where your organization sits across strategy, data infrastructure, talent, governance, and culture. Calibrated against what's actually required to move — not against a generic maturity matrix.
Competitive Gap Analysis
A sector-specific look at where your competitors are investing, what capabilities they're building, and where the windows of differentiation still exist. Specific to your industry, not generic AI market trends.
Prioritized Roadmap
Sequenced AI initiatives ranked by business impact, feasibility, and strategic fit. Built for organizations that need to move — not organizations that need more planning before they can plan.
How an engagement works.
This is the same process Alex runs as GenAI strategy advisor to Dell and GenAI strategy executive advisor to Amgen. Engagements range from a one-time AI readiness assessment to ongoing fractional Chief AI Officer support.
Scoping conversation
A direct conversation about where your organization is, what decisions are pending, and what clarity would actually change. No pre-work decks, no intake forms. This determines whether and how an engagement makes sense.
Assessment and analysis
Depending on scope: stakeholder conversations, competitive research, AI portfolio review, or an organizational AI readiness assessment. Alex does this work — not a team of analysts reporting up to a partner who summarizes it.
Executive synthesis and action
A working session with your leadership team — not a presentation, a working session — that produces a clear point of view and next steps your organization can act on immediately.
Why Audiences Love {Alex}
Eye-opening, refreshingly human, and capable of building a shared vision around agentic AI — that's how leaders at Coca-Cola, AWS, and Disney describe Alex Goryachev's AI keynotes and employee innovation workshops.
Innovation for everyone
Alex turns AI into practical concepts — not techspeak — that land with executives, HR, sales, engineering, and faculty alike. It's the same approach he honed building university-anchored innovation centers across 14 countries, bridging cultures and generations.
Built around your audience
Across 310+ keynotes, workshops, and advisory engagements on 6 continents, no two have ever been the same. Alex builds every program around your audience's challenges, industry, and goals — from agentic AI strategy and the future of work to innovation culture.
Value that lasts
Most programs end at applause. Alex's end with deployment — the same frameworks proven inside Cisco, Dell, Pfizer, and IBM and documented in his WSJ bestseller Fearless Innovation. Workshops and advisory install them in your team, so they're still running long after the event.
Proven where it counts
Two decades leading AI and innovation where the stakes are real — a $1.1B portfolio at Cisco, three Olympic Games, 300,000+ employees, and AI transformation for Fortune 100s, governments, and America's largest public university system. Every engagement is measured, so you see the ROI.
Your team will thank you
A 60-minute keynote, a hands-on workshop, a virtual session, or multi-month advisory — for enterprises, universities, and associations alike. Whatever the format, 98% of audiences say they would recommend him.
Request Alex's availability for your engagement. From Silicon Valley to Singapore, and everywhere in between.
The organizations that will lead in the next five years are not the ones that started the most AI pilots. They are the ones {that built the systems} to know which ones to kill.
Advisory is often the starting point.
A strategy conversation usually surfaces the right next engagement. Here are the most common paths.
AI & Innovation Keynotes
Bring alignment to a leadership offsite, all-hands, or board meeting with a keynote grounded in the same advisory thinking.
AI Innovation Sprints
Translate advisory priorities into hands-on working sessions where your team builds real AI use cases against real business problems.
AI Leadership Programs
Multi-session programs that build AI leadership capability across your executive and management layers — strategy, judgment, and change leadership.
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 below.
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.
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