AI Keynote Speaker for DEI: Equity When Algorithms Decide
From inclusive policies to innovation culture, Alex links DEI to organizational success
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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 Organizations Trust Alex for DEI
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 DEI Keynotes that Build Inclusive and Innovative Cultures
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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Can your equity strategy survive contact with an algorithm? Screening tools, promotion models, and pay-review software now shape decisions that DEI teams spent a decade trying to make fairer, and they do it at a scale no human committee ever matched. This keynote gives DEI leaders working command of AI before those systems quietly rewrite the outcomes you are accountable for.
Why DEI is different
DEI leaders are being pulled into AI conversations with none of the leverage other functions enjoy. Procurement selects the hiring platform, IT integrates it, and the equity questions arrive on your desk only after an employee raises a concern. Vendors promise their models are tested for bias; you are expected to take that on faith, without access to the data, the testing method, or anyone who can translate the answers. That gap between accountability and authority is the defining problem for this audience.
The technology itself cuts both ways. Used carelessly, AI automates yesterday's patterns: it learns from historical hiring and promotion records and reproduces what your organization used to do, not what it aspires to do. Used deliberately, it can widen access in ways manual processes never could, from skills-based matching that surfaces overlooked candidates to accessibility features that change who can do which jobs. Whether your organization gets the first version or the second is a governance question, and right now many DEI teams are not in the room where it gets decided.
Then there is the politics. DEI functions face external scrutiny and internal budget pressure at exactly the moment their remit is expanding into algorithmic decision-making. The framing that survives this climate treats equity work as quality control on people decisions: defensible in front of a skeptical CFO, a cautious general counsel, and a board that wants risk managed. This session is built around that framing.
What this keynote delivers
- A plain-English grounding in how AI and agentic AI actually make hiring, promotion, and pay recommendations, with no technical background required
- The questions to put to vendors and internal teams before an algorithm touches a people decision, and the evasive answers that should worry you
- A practical map of where DEI belongs in AI governance, from procurement and pilot design through ongoing monitoring
- Concrete ways AI can expand access and opportunity rather than narrow it, drawn from real organizational practice
- Language for defending equity work as decision quality, built for rooms that have stopped responding to moral arguments alone
Why Alex for DEI
Alex is a practitioner, not a futurist. He serves on the AI Working Group advising the California State University system, one of the largest and most diverse public institutions in the country, on AI strategy and governance, including the fairness and oversight questions DEI leaders now own. He brings an operator's view of how these systems get bought, deployed, and challenged inside large organizations, so the guidance lands as workable rather than aspirational.
Frequently Asked Questions
How is the session tailored to our DEI priorities?
Through discovery conversations before the event. Alex looks at where AI already touches your people decisions, what your leadership is debating, and how fluent your audience is, then builds the examples around your reality instead of a generic deck.
Which roles should we invite for diversity equity and inclusion dei?
DEI councils, HR leadership, ERG leads, talent acquisition, and executives all get value. The session is designed for mixed rooms where technical fluency varies widely, and it gives every group a shared vocabulary to keep working with afterward.
What is the runtime for a diversity equity and inclusion dei session?
A standard keynote runs 45-60 minutes plus Q&A. Many DEI teams extend it with 60-90 minutes of facilitated discussion to turn the ideas into specific commitments while everyone is still in the room.
Work with Alex
If AI is about to intersect with your equity agenda, start the conversation here.
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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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