An AI Keynote for PTAs and Parent-Teacher Associations
From school policies to student safety, Alex engages parents and educators with AI
FREQUENTLY FEATURED IN:
ALEX, BY THE NUMBERS
Parents hear two stories about AI in school: it will help their children learn, or it will do the thinking for them. PTA leaders stand in the middle, expected to host that conversation without inflaming it. This keynote is built to help them hold it well.
Why PTAs are different
PTAs run on volunteer time and community trust, which gives them a strange superpower: they can convene conversations a district finds politically awkward to host itself. But volunteers are not AI specialists and should not have to become them just to program a meeting. Putting AI on the agenda raises the bar for the whole evening, because a shallow session leaves families more anxious than no session at all. The right outside speaker solves the volunteer's dilemma: the evening gets substance without any board member having to become the expert.
The advocacy role is what separates a PTA from a general parent audience. PTAs influence real district decisions: device policies, homework norms, technology funding priorities, and how schools communicate about new tools. Informed parents advocate well; misinformed parents amplify panic, and the district feels the difference at every board meeting. The quality of the briefing determines which of those a community gets. That is why the strongest PTA sessions are less about the technology than about the questions worth carrying into the next board meeting.
And the membership is the whole town. One family's parent builds AI systems at work; another is meeting these tools for the first time at this very meeting. Some households have every subscription; others share one phone. A PTA session has to serve all of them at once, in plain language, without a whiff of condescension toward anyone. Done right, the meeting itself becomes the message: this community can talk about hard change without panic.
What this keynote delivers
- A plain-language AI briefing that respects every family's starting point
- Concrete ways to talk with kids about schoolwork, shortcuts, and learning with AI
- The questions PTAs can usefully bring to districts about tools, data, and classroom policy
- The jobs-and-futures picture, delivered without fear or salesmanship
- A reusable structure PTA leaders can run for follow-on meetings on their own
Why Alex for PTAs
Alex is independent in the way a parent room requires: he sells nothing from any stage and holds no stake in any education product, and 98% of his audiences would recommend him. Families get straight answers from someone with nothing to gain from their worry. His own work advising public institutions keeps the guidance practical rather than theoretical.
Frequently Asked Questions
Is this affordable for a PTA budget?
Virtual sessions make it workable: fees are five figures depending on format, with virtual events often under $10,000, and some PTAs partner with their district or neighboring schools to share the cost. Council-level budgets make the math easier still.
What does an evening meeting format look like?
A focused talk of roughly 45 minutes, followed by open questions for as long as your meeting allows. The format is built around discussion, because that is what PTA members actually come for.
Can several schools attend one virtual session?
Yes. Council-level and district-wide PTA events work well virtually, letting every school community join the same evening without travel or venue costs.
How should our board prepare?
Send a note about your community's current debates, whatever is filling your meetings and message threads, and collect member questions in advance. The session then speaks to your school's reality, not a national average. A single planning call with two or three board members is usually enough.
Work with Alex
Turn AI anxiety at your school into an informed community; ask about PTA-friendly formats.
Explore more AI keynotes
- Registrars & Admissions Offices
- Research Administration / Sponsored Programs
- School Boards / Trustees
- Special Education Leadership Programs
Or browse the full directory: AI Keynotes for Education.
310+ Keynotes, Workshops & Advisory Engagements
.svg.webp){kind=logo}
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.
.svg)
