Keynote · Agentic AI

AI Keynotes for Architecture, Engineering and Construction

From planning to project delivery, Alex shows how AI transforms the built environment

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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}

Keynote

Why AEC Leaders Trust Alex for AI

What changes when AI stops advising and starts acting — and how leaders stay in control. The practitioner's view, backed by real enterprise deployment.

Pairs With

How Alex Delivers AEC Keynotes that Build Innovation and Resilience

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

310+
Keynotes
40
Countries
$1.1B
Portfolio
98%
Recommend
582+
Verified Reviews

Why has an industry that builds the most complex objects on earth stayed among the slowest to digitize, and what does that mean now that AI has arrived? Architecture, engineering, and construction run on thin margins, fragmented teams, and projects that never quite repeat, and AI lands on all three at once.

Why architecture, engineering and construction are different

AEC is project-based and fragmented in a way that shapes every technology decision. A building brings together an owner, architects, engineers, a general contractor, and dozens of subcontractors, each with their own tools, incentives, and margins, and they disband when the job ends. Software that assumes one persistent organization with shared data misreads how the industry actually works.

The margins make it harder. Construction runs on thin, risky margins where a single bad project can wipe out a year, which makes firms cautious about unproven tools even when the potential is clear. Adoption has to prove itself on the current job, not a future one, and there is rarely slack to experiment.

The work also splits into two very different worlds. On the design side, generative tools can now produce and test options at a speed that changes the creative process. On the jobsite, the problems are schedule, coordination, safety, and rework, where AI's value looks completely different and the environment is physical, messy, and unforgiving. A useful session speaks to both rather than collapsing them into one.

There is a liability and standards dimension the industry cannot ignore. Buildings are governed by codes, stamped by licensed professionals, and subject to years of legal exposure after completion, which makes any tool that touches design or safety a serious question rather than a convenience. An engineer still owns the decision, and "the software suggested it" is not a defense that holds. A grounded discussion of AI in this field treats professional accountability as fixed, and asks where the technology truly helps within it, instead of pretending the usual rules bend because the tool is new.

What this keynote delivers

  • A clear split between AI on the design side and AI in the field, since they are different problems
  • Where generative design actually changes the creative and engineering process
  • How AI can attack schedule, coordination, rework, and safety on real projects
  • Adoption that fits a fragmented, project-based industry rather than assuming one org
  • A grounded read on which tools pay off on the current job, not a future one

Why Alex for architecture, engineering and construction

Alex is the WSJ-bestselling author of "Fearless Innovation," and he brings a practical, unhyped view of adoption to an industry that has watched plenty of technology promises fail to survive contact with a jobsite. As a practitioner rather than a futurist, he focuses on what fits the realities of project delivery now, not a rendering of the automated construction site.

Frequently Asked Questions

Can the talk address both design firms and contractors?

Yes. Alex works with organizers to weight the content toward design, construction, or a mixed audience, since AI shows up differently at the drawing board and on the site.

Will it be practical for a low-margin, risk-averse industry?

Yes. The focus is on adoption that proves itself on real projects, not experiments a firm cannot afford, which is the only framing this audience trusts.

Can he tailor it to our project types?

Yes. He learns your sectors and delivery models in advance so the examples reflect the work you actually win and build.

Can you reach multiple offices at once?

Yes. Alex delivers virtual sessions regularly, often under $10,000, which suits firms with project teams spread across regions and job sites. For a company gathering he presents in person.

Work with Alex

To bring your teams a practical read on AI from design through delivery, plan it with the team at /contact.

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310+ Keynotes, Workshops & Advisory Engagements

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 the former Managing Director of Innovation Strategy and Head of Global Innovation Centers at Cisco, he ran a $1.1B portfolio that generated $400M+ in revenue 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 agreement: 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 Managing Director of Innovation Strategy and Head of Global Innovation Centers at Cisco, 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 rather than 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 was Managing Director of Innovation Strategy and Head of Global Innovation Centers at Cisco. He 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.