Wes Pomeroy

AI training

A lot of people were handed AI and left to figure it out alone.

I train executives, managers and teams to use it on the work they do every week, so it starts paying off right away.

Colleagues learning to use AI together around their laptops

How I approach training

A class on how to use AI in general is too broad to help much, the same way a class on how to use email would be. You can teach someone the subject line and attachments, but what they write depends on what they're trying to get done. So I teach the few things everyone needs, then go straight to the tasks people want help with.

The fundamentals

Workshops on specific tasks

Working sessions on one piece of work. By the end, it is set up and running.

  • Room booking panel showing a free meeting room

    Project management and fewer meetings

    AI meeting notes, action items and status updates written for you. An agent tracks open tasks and flags what slipped, so meetings are for decisions.

  • Product manager and designer reviewing an app prototype

    Product management

    Use AI to sort customer input into themes, draft PRDs and user stories, and build a clickable prototype in an afternoon to test an idea.

  • Manager and team member in a one-on-one performance review

    Writing performance reviews

    AI pulls a year of notes, wins and peer feedback into a fair, specific first draft, so your time goes into the conversation.

  • Employee preparing a self-assessment on a laptop during a train commute

    Preparing for your own review

    Have AI search your email, documents and calendar for what you delivered this year and turn it into a clear self-assessment.

  • Person working through email at a kitchen window at sunrise

    Inbox and follow-ups

    AI email triage sorts by priority, summarizes long threads and drafts replies for you to approve.

  • Executive writing an update in an office at dusk

    Executive updates and memos

    Turn scattered notes, chats and metrics into a weekly update or board memo. AI writes the draft in your voice, and you edit and send.

  • Analyst researching in a library reading room

    Research briefs

    AI deep research reads hundreds of sources, cites them, and builds a competitor, market or customer brief in an hour instead of a week.

  • Hiring manager interviewing a candidate

    Hiring

    AI drafts the job description, compares resumes to the role, builds interview questions and summarizes candidate notes. People make the call.

  • Customer support team reviewing feedback trends on a screen

    Customer feedback

    AI reads every survey answer, review and support ticket, groups them into themes, and shows what is behind the complaints.

  • Leaders drafting team AI rules at a boardroom whiteboard

    Team AI rules

    Write an AI use policy your team will follow: what is allowed, which data stays out, and who reviews AI work before it goes out.

  • Workflow automation diagram on a monitor beside a keyboard

    Automating one repeat task

    Build an AI agent or workflow for one task your team repeats every week, from reports to data entry, with a person checking the output.

  • Team asking questions during an AI risks workshop

    AI fears and risks

    Talk through job worries, accuracy, privacy and security. Sort out which AI risks matter and agree on guardrails.

  • Sticky notes on a wall during a planning session

    Your question, topic or goal

    Bring what your group is working on. The session is built around your tools, your data and your goal.

For executives, managers and teams

Executives

One-on-one and confidential

AI is a hard subject to fake your way through. Ask anything, as many times as you need, with someone who has done your job.

  • What agentic AI can do in your business today
  • Where AI pays off, and what it costs
  • How much to trust its output, and who is accountable when it's wrong
  • The risks across your company
  • Using AI yourself
  • Judging a vendor, a pitch or a person, publicly or privately

Structured sessions, a one-off conversation or a regular check-in.

Managers

Workshops

Managing people and projects with AI.

  • Project management and fewer meetings
  • Writing performance reviews
  • Checking your team's AI work
  • Talking with your team about AI fears

Teams

Workshops and talks, any size

Built around the tasks your team handles every day.

  • Prompting and context
  • Making AI less annoying
  • Getting quality
  • Agentic AI
  • Preparing for your own performance review
  • What AI means for your job

At company events, conferences and classes.

Recent talks

Wes Pomeroy speaking into a microphone on a panel at the Human-AI Collaboration Summit in Warsaw
Human-AI Collaboration Summit, Kozminski University, Warsaw, September 2026. Panel on human-AI collaboration in organizations.
Wes Pomeroy and Deborah Shapiro on screen in a virtual panel at the GDS CMO Insight Summit, with the host standing on the studio stage
GDS CMO Insight Summit, July 2026. Virtual panel: “More Tools, More Data, More AI - So Why Isn't Marketing More Effective?”

Why work with me

I teach AI from my own daily use of it. I build with it every day, so every session comes from work I've actually done, not a demo.

I was most recently an AVP at a Fortune 20 company. I know the jobs your people do, from the executive suite to the front line, and the pressure each one is under.

I've taught and presented to groups large and small my whole career, from my own team to the stage at Verizon events. And I talk about AI almost every day with founders, professors, students and professionals of every kind, so I can meet any group where it is.

Wes Pomeroy seated on a stool

Get in touch →   Consulting →

Contact

wes@wespomeroy.com

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