AI talks & training
Get your team genuinely up to speed with AI, not a lecture
An AI workshop in which your team practises on its own work. Your team works in the tools themselves, learns what's safe under GDPR and the AI Act, and walks out with use cases it can put to work the very next week.
Clients rate us 4.9
- Built around your own use cases
- Hands-on, no slides
- Do's and don'ts for GDPR & the AI Act
Built for, among others
The problem
What gets in the way
Most AI training is an hour of staring at slides about what's possible, after which everyone goes back to work and nothing changes.
A team that distrusts AI, or wildly overrates it
Half the team thinks AI will take their job, the other half that it never makes mistakes. Once people try it on their own tasks, they see what it can and can't do.
Expensive tools sitting unused
You have licences for ChatGPT or Copilot and hardly anyone uses them. It's rarely the tool: nobody has tied it to the real work.
Nobody knows what's safe under GDPR and the AI Act
Can a contract go into ChatGPT? A client e-mail? Out of uncertainty one half does it quietly and the other half dares nothing. What's missing is a clear line: this yes, this never.
Buzzing after the demo, Monday nothing's changed
A good presentation gives energy that's gone again by Friday. Without something concrete in hand (a use of your own, a first trial) everyone falls back into the old routine.
How we look at it
We don't believe in that. We build with these tools ourselves every day, for companies in dozens of industries. That's what makes a session with us different.
Read more
We know where AI genuinely saves time and where it's playing you for a fool. In a training or talk we put your team on your own work: writing a quote, working through an inbox, setting up a report. You do it yourself, with your own material.
And you get an honest answer to the question that actually matters: where is this allowed, where is it not, and when is AI simply the wrong tool for the job. We think along with you: we listen first to what you want to achieve now and where you are heading, then choose the technology to match, for the most scalable and powerful result that is cost-efficient at the same time.
What we build
How we help
We ask beforehand which tasks cost time and build the session around them. Your team works with OpenAI and Claude themselves on a real quote, mailbox or report.
We also show where it goes wrong: where a model talks convincing nonsense and where you have to double-check. We know those pitfalls because we build with these tools ourselves.
You take home one page in plain language: this may go into an AI tool, this never, and this only in this way. Tailored to your situation, the GDPR and the AI Act.
At the end there's a short list of tasks where AI saves your team time, ranked by effort and return. These are the two or three to start with.
If one of them is worth it, we build a small trial around it together. That way you see whether it works before you invest heavily.
What we built
See the latest from Topdevs
Simply - AI-Native CRM & ATS
Simply's AI-native CRM and ATS, built by us from data model to hosting. One platform with an AI agent, a unified inbox, matching and workflows, used by thousands of recruiters every day.
Reviews
What our clients say about us.
4.9 · based on client reviews
Revenue within two months
“In just two months, the app they built for us was generating revenue.”
Roy MartinaQuantum Life · meditation app10 hours back every week
“One week of development now saves us 10 hours every week.”
Joost van den BogartBBS AdvocatenOur outbound runs itself now
“All our outbound now runs through one system that finds the right people by itself. It saves us a ton of manual work and we get more conversations out of it.”
Kay LucasSimply
Our approach
From idea to working software in four phases
Every project runs through the same four phases, so you always know what's happening, what comes next and what it costs, from first call to live software, usually in weeks rather than months.
- 01Phase 1Free intake
Understand & analyse
Everything starts with a good conversation. We map your goals, processes and the bottlenecks worth solving: no sales pitch, just an honest read on where the biggest win sits.
- 02Phase 2Free blueprint
Blueprint & quote
We turn the analysis into a blueprint: a clear plan showing exactly which steps we'll take and why, paired with one fixed quote. You know up front precisely what we build, what it costs and when it's done, so the bill can't surprise you afterwards. And that blueprint is free and without obligation.
- 03Phase 3Prototype in days
Build, test & deploy
Then we build, in short iterations. You see a working prototype in days and a finished product in weeks. We work on a modern, AI-native and secure stack, with data protection and GDPR in mind from day one.
- 04Phase 4100% your code
Implement & optimise
We launch, hand over the full codebase and keep improving on your terms. You get 100% ownership of the code we write. Hosting and maintenance are optional.
What you always get
Fixed price
Agreed up front.
100% code ownership
Your code, fully yours.
Live in weeks
Prototypes in days, finished in weeks.
Modern & secure
A scalable stack that always integrates with the latest tech. Secured by our in-house cybersecurity experts.
Tools & tech
Not tied to one model or platform
We're not tied to one model or platform. We pick the AI approach that fits your data, budget and goal (an off-the-shelf model, a custom pipeline, or a mix), and we're honest when simpler tech does the job just as well.
- A hands-on AI session or talk, on site or online, built around your own use cases
- A programme agreed in advance around the tasks that genuinely cost you time
- A live demo on real examples in OpenAI and Claude, including where it goes wrong
- A one-pager of do's and don'ts around GDPR and the AI Act, in plain language
- A shortlist of use cases, ranked by effort versus return
- Working example prompts your team can use the very next week
- Advice on whether a first use case lends itself to a small trial
- Optionally a follow-up: building that trial or a deeper session
Faster Delivery. Fixed price. Forever your code.
Traditional agencies make software feel risky. Topdevs makes the project clear before we build.
Frequently asked questions
What does an AI training or talk cost?
It depends on the format and the group. A half-day talk is a different thing from a hands-on workshop for a whole team, or a series of sessions per department. We always agree the price upfront, with no open end. In a short conversation we work out what fits: who's joining, which use cases are on the table, and whether you want one session or a track. After that you know exactly where you stand.
How long is a session and what does it look like?
A good session usually runs a half day: the basics briefly, then mostly doing it yourself. We start with a demo on real examples, then your team gets stuck in to OpenAI and Claude on your own tasks. We close with the do's and don'ts and a shortlist of use cases. We agree the programme in advance, so the time goes to your work.
Will this training replace my people, or help them work better?
The goal is to make your people work better, not to replace them. We show where AI takes over the dull part of a task, freeing up time for the work that needs judgement. That's how we use it ourselves too: the admin goes to the system, the person keeps the decision. A training makes your team self-sufficient at that, it doesn't make them redundant.
Is AI genuinely needed here, or are you selling hype?
We'll tell you straight when AI isn't the answer. For some tasks a plain tool or a fixed way of working is better, faster and cheaper, and you'll hear that from us. We build with AI ourselves where it genuinely saves time, and we don't bolt it onto anything to sound modern. A session with us is just as much about when you shouldn't use AI.
What does my team concretely keep after the session?
Three things. Working example prompts on your own tasks, so they can carry on the next week. A one-pager of do's and don'ts around GDPR and the AI Act, so nobody has to guess what's safe. And a shortlist of use cases that actually pay off. You then have something you can start with on Monday.
What if we want to take it further into a real application after the training?
Then we build a small trial together on one of the use cases from the shortlist. A contained automation or application that lets you see whether it works before you invest big. If you'd rather bring more people along first, a follow-up session per department works well. You're tied to nothing: the training stands on its own, a follow-up is a choice.
Contact
Ready to build?
Send us a message or book a call straight away. We're happy to think through the best approach with you.
