Do attendees need a technical background?

No. This is for the people whose job is not technical, and nothing in it involves code. The people who do write code are better served by the AI Engineering Workshop.

Who should be in the room?

The people who have not worked it out yet, whatever their job: customer success, sales, support, operations, HR, finance, legal. No technical background, and nothing to code. Your power users are welcome to join, and they usually do. If your rollout has not started yet, the teaching works just as well before the licences go out.

Which AI tools does it cover?

ChatGPT, Claude or Gemini, whichever you already pay for. The work is finding where it can do real work in your workflows, then teaching people to use it there.

It is quoted against the scope we agree on the call. Nothing is priced on this site because no two organisations need the same amount of work.

What do attendees need to prepare?

Nothing. There is no pre-work. The scoping happens between us before the teaching.

No. The teaching is live, on your own workflows, in your room or on your call.

What else can the engagement include?

A talk for the whole company, so the teams being taught know why before the teaching starts. More cohorts for the next teams, briefings for their managers, follow-up clinics with the people who attended, and change management with whoever owns the rollout. Putting agents into the workflows we reviewed, for one person, one team or the organisation, is available as extra work alongside the teaching.

The Power User Gap: AI training for non-technical teams

88% of your people use AI. About 5% use it well.

I look at how your teams work, find where AI can do real work in it, and teach your people to use it there, whether you're an SME or an enterprise.

For whoever is responsible for getting non-technical people using AI. Nothing to code.

Book a 30-minute call Find your team

74 talks and 78 workshops in 36 countries since 2014. Google Developer Expert, Agentic AI Foundation ambassador.

Same task, same tool, two different jobs.

What most people send

Write a summary of this report for the leadership team.

What your top 5% send

Here is the report, and the three slides the board saw last quarter.

Summarise it for our leadership team, who already know the background and want what changed.

One page. Lead with anything that moves a number. Flag anything you're unsure about rather than smoothing it over.

The Power User Gap is the split EY's Work Reimagined Survey measured in August 2025: 88% of employees use AI at work, mostly for search and summarising, and 5% use it to change how they work. 15,000 employees and 1,500 employers, 29 countries.

Four courses, one engagement.

Nobody taught anyone the second version. The people who write it worked it out on your documents and your approvals, which is why no vendor course covers it. I teach it on your own work. Each course is taught on that team's own workflows, from the review. The call picks one or several, and they're quoted together as one engagement.

AI for sales, customer success and support

Briefing yourself before an account call
Answering customers from your own help articles and past replies
Turning a call into the follow-up email and the CRM entry

Whoever sends it reads and corrects it first.

AI for operations and finance

Month-end commentary and variance notes
Status reports built from the spreadsheets and exports you already produce
Process documents written up from how the work is done day to day

The figures come from the source file, and people learn to check them there.

AI for HR and people teams

Job descriptions and interview questions
Onboarding packs
Answers to policy questions, drafted from your own handbook

Anything that decides something about a person stays with a person.

AI for legal teams

Reading a contract against your standard terms
Summarising a long bundle with clause references
Drafting the letters around a matter

For in-house teams and law firms. A lawyer reviews everything it produces and stays responsible for it.

You see what changed, team by team.

The people attending say how they use AI before anything is taught, and what they hand to it after. It works with whatever tools you've already bought. Remote or on-site, so teams in different countries get the same teaching without anyone flying anywhere. No pre-work for attendees.

A 30-minute call
Where your rollout is, and which teams or workflows you'd like to start with.
I look at how your teams work
I talk to the team leads and go through the process documents for the workflows you've chosen, and suggest others where I see a better place to start. How long it takes depends on the scope we agree.
Before
A baseline before anything is taught
The people attending say how they use AI on those workflows today and how that work gets done. That is the mark everything after is measured against.
I teach your people to use AI there
Remote or on-site, for the people who haven't worked it out yet. They learn to use AI on those workflows, so they do that work more efficiently and AI becomes the first thing they reach for. Your power users are welcome to join.
After
What changed
After the teaching, the same people say what they now hand to AI and where they still don't. You see the change against the baseline, team by team, and we decide where the next cohort starts.

For when someone asks what the licences bought.

You hear from the people attending how they use AI before anything is taught, and from the same people afterwards what they now hand to AI and where they still don't. That's the before and after, team by team, to take to whoever approved the spend.

Why the gap is still there.

You have probably tried some of these already. This is what each one leaves you with.

The vendor's own course

Teaches the product: the features, the modes, what the assistant can do. Your power users didn't learn there. They worked it out on your documents and your approvals, which no vendor has seen.

An e-learning platform

Produces completion rates. Everyone finishes the module, and on Monday the same one-line prompts go out as before.

Your own power users

They can show what they do, and they often will. They can't see where their habits came from, and they have their own jobs, so the rest of the team gets a lunchtime demo and a link.

A generic AI trainer

Runs the same day for every organisation, on prepared examples. Here the teaching starts from your workflows, so what people practise is the work they go back to.

Tamas Piros teaching a full room, standing at the front and explaining with both hands

Who you'd be working with

I've spent twenty-five years teaching engineers and their organisations whatever technology had just arrived, and the last few building with these tools.

74
Talks: 78
Workshops: 36
Countries: 2014
On stage since

Google Developer Expert in Web Technologies, Agentic AI Foundation ambassador, MBA. Your engineering team is different work: the AI Engineering Workshop teaches them to work with coding agents and to build agents, by the same person, so one conversation can cover both.

More about me

What people say about the teaching.

Our audience has been tremendously impacted with Tamas's educational content throughout the past years, leaving with practical insights & knowledge ready to be applied on Monday!

J. GerardsFrontend Revolution

Tamas isn't just a well-prepared professional, he's also someone who offers insightful perspectives on the present and future of AI. I really enjoyed exchanging experiences with him and picking up some of his know-how along the way.

G. GalassiFreelance developer

Having worked with Tamas on several projects, I've always been impressed by his technical depth and his ability to communicate complex concepts in an engaging way. He is a fantastic speaker and a true professional.

S. KyriazatisSenior Solutions Developer

Before you book.

Do attendees need a technical background?: No. This is for the people whose job is not technical, and nothing in it involves code. The people who do write code are better served by the AI Engineering Workshop.
Who should be in the room?: The people who have not worked it out yet, whatever their job: customer success, sales, support, operations, HR, finance, legal. No technical background, and nothing to code. Your power users are welcome to join, and they usually do. If your rollout has not started yet, the teaching works just as well before the licences go out.
Which AI tools does it cover?: ChatGPT, Claude or Gemini, whichever you already pay for. The work is finding where it can do real work in your workflows, then teaching people to use it there.
What does it cost?: It is quoted against the scope we agree on the call. Nothing is priced on this site because no two organisations need the same amount of work.
What do attendees need to prepare?: Nothing. There is no pre-work. The scoping happens between us before the teaching.
Is it recorded?: No. The teaching is live, on your own workflows, in your room or on your call.
What else can the engagement include?: A talk for the whole company, so the teams being taught know why before the teaching starts. More cohorts for the next teams, briefings for their managers, follow-up clinics with the people who attended, and change management with whoever owns the rollout. Putting agents into the workflows we reviewed, for one person, one team or the organisation, is available as extra work alongside the teaching.

Start with a 30-minute call.

Tell me when the tools went out and which teams you'd start with. It's one quote, for the workflow review and the teaching of the teams we agree on the call, so the figure you forward covers all of it.

Book a 30-minute call hello@tamaspiros.com