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 that land with executives, HR, sales, engineering and faculty alike. It is the same approach he used building and running Cisco's Global Innovation Centers in 14 countries, anchored at universities and spanning cultures and generations.
Built around your audience
Across 310+ keynotes, workshops and advisory engagements on six continents, no two have 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
Alex's programs end with deployment: frameworks used inside Cisco, Dell, Pfizer and IBM and documented in his WSJ bestseller Fearless Innovation. Workshops and advisory install them in your team, so they keep running long after the session.
Proven where it counts
Two decades of AI and innovation work where the stakes are real: Alex shaped Cisco's $1.1B innovation portfolio, ran innovation programs for three Olympic Games and has advised Dell's GenAI practice, Amgen and the California State University system. Every engagement is measured through verified attendee feedback.
Your team will thank you
A keynote, a hands-on workshop, a virtual session or multi-month advisory, for enterprises, universities and associations alike. Last quarter, 99% of 676 verified attendees found his talks valuable.
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.

In Their Own Words
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.
