AI Training for Employees That They Use the Next Morning
Hands-on AI training built by the practitioner who trained 74,000+ employees through structured AI and innovation programs.
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ALEX, BY THE NUMBERS
Most AI training for employees stops at a license and a town hall. Cybernews found 59% of workers hiding their AI use from their employers, which means the training gap is also a trust gap: people are learning in secret, without guardrails, and the company gets none of the compounding. Training done right closes both gaps at once.
Why employee AI training fails, and what works
The World Economic Forum projects nearly 40% of core job skills changing by 2030, and McKinsey finds 88% of companies using AI while 7% report it at scale. The distance between those numbers is a skills problem, and it closes through practice on real work: employees applying AI to their own tasks, with a manager who knows what to coach and a plan that starts the same week.
That is the design behind Alex Goryachev's training programs. Every session is hands-on. Participants work on their own workflows rather than canned demos, leave with a personal 30-day adoption plan, and managers leave with a team-level view they can track. The format cascades: one session for a team, a program across departments, or a keynote for the all-hands followed by workshops for the teams ready to build.
What the training covers
- What agentic AI means for each role, in plain language, with the fear replaced by specifics
- Guided practice applying AI to participants' own tasks and workflows
- The durable human skills that gain value as agents absorb routine work
- Guardrails for safe, compliant use, so adoption speeds up without incidents
- A personal 30-day adoption plan per participant, plus a manager's coaching view
Why Alex for employee AI training
Alex Goryachev has trained 74,000+ employees through structured AI and innovation programs, and built the Cisco Innovate Everywhere Challenge, which drew about half of a 72,000-person workforce into building 1,100+ ventures across 2,000+ teams and won Brandon Hall Gold 3 times. He has run 170+ AI pilots and 51 live deployments, helped Dell build its AI consultancy from the ground up, and wrote the WSJ bestseller Fearless Innovation. Across 582+ verified Talkadot responses, 98% of attendees would recommend him.
Frequently Asked Questions
What is the best AI training for employees?
The training that changes behavior is hands-on, role-specific, and followed up: employees practice on their own work, leave with a 30-day plan, and managers get a way to coach and measure adoption. Alex Goryachev's programs are built on that design, drawn from training 74,000+ employees.
How long does employee AI training take?
Formats run from a 90-minute virtual team session to half-day and full-day workshops and cascading department programs. Most teams start with a single session and expand by department.
Does the training work for non-technical employees?
Yes. Sessions are designed to land across every role and comfort level, including teams far from the technology organization. The material is plain language and the exercises use each participant's own tasks.
Can training pair with a keynote?
Yes. A common program is the Relearn or Rehire keynote for the all-hands, followed by the AI-Ready Workforce Workshop for teams ready to build skills.
Work with Alex
Give your workforce training they use the next morning. Check Availability.
Explore related programs
- The AI-Ready Workforce Workshop
- The Future of Work and Organizations: Relearn or Rehire
- Virtual AI Innovation Sprint
- Virtual Lunch and Learn
Or browse the full directory: AI Keynotes by Audience & Topic.
310+ Keynotes, Workshops & Advisory Engagements
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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?
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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