AI enablement · 1,000 to 7,000 employees

AI Champions Program, Build Your Own Internal AI Team

Your people already know where the work hurts. We turn 20 to 30 of them into AI builders, and take what they build all the way to production.

Most large companies are stuck in the same place. Everyone has access to ChatGPT or Copilot. A few enthusiasts have built something clever on their own. IT is nervous about what is running where. And leadership is being asked what the AI strategy is, with no good answer beyond another workshop.

An AI champions program that ends in production

The Specialty Tokens AI Champions Program builds the team that closes that gap from inside your company. We are a forward-deployed AI engineering firm in Vienna, run by founders Nik Redl and Thomas Schlossmacher, and we work with organizations of roughly 1,000 to 7,000 employees across DACH and the rest of Europe.

The idea is simple. The people who know where the work hurts are already in your company. They are in finance, in sales operations, in customer service. They are not engineers, and they do not need to be. With the right training, the right tools, and a clear path to production, they become your internal AI team.

How the program works

  1. We look at everything you are doing. Systems, data, processes, existing AI experiments, and the rules your IT and legal teams need respected. This is where we find the first opportunities and the constraints.
  2. We come to you. The program runs on site, with your people, on your processes. Approved AI tools are connected to the systems your teams already use, so exercises are real work, not examples.
  3. We train a volunteer group of 20 to 30 champions. Mostly non-technical people, sometimes called citizen developers, who learn to build automations and agents on their own processes.
  4. The champions harvest use cases. They collect and rank opportunities across their departments, with owners and expected payoff, and build the first ones themselves.
  5. We take the best use cases to production. Our engineers build them properly, secure them, and hand them to your IT team to run. Nothing stays a prototype on someone's laptop.
  6. You choose what comes next. Stop after the enablement, or have us professionalize the group into a standing internal AI team.

Who owns it on your side

A champions program needs a sponsor with backing. In our engagements that is usually a head of IT, a chief AI officer, the CEO, a board member, or a head of commercial, sometimes a senior manager with a clear mandate. The sponsor sets direction and protects the group's time. We make sure they can show progress in terms the board understands: use cases in production, hours returned to the business, and risks under control.

For leadership teams that want to align first, we run an executive AI session before the program starts.

What it looks like in practice

At TimeTac, a marketing and growth team with no engineers built its own automations on our platform: 10 live in production and 117 runs in the first three weeks, 54 of them on a schedule with nobody pressing a button. An internal champion drove the adoption. The champions program applies the same model across departments, with 20 to 30 people instead of one team.

We run enablement for demanding audiences, from the investment team at Speedinvest to an executive AI series with the Austrian Federal Economic Chamber.

If you want a written picture of where your company stands before you commit, start with the free AI readiness assessment.

What you get

  • Volunteers, not a new department

    A group of 20 to 30 people who raise their hand: finance, sales, operations, HR. Most have never written code. They become the team that finds and builds AI inside the company.

  • We look at everything first

    Before anyone is trained, we map how the company actually works: systems, data, processes, and what is already being tried in the shadows. The program starts from your reality, not a curriculum.

  • On site, with your people

    We come to you. The group works on its own processes, with approved tools connected to your systems, so what they learn is what they ship.

  • Use cases from the people who own the work

    Champions collect and rank opportunities across their departments. Leadership gets a portfolio of real use cases with owners, instead of a strategy deck.

  • All the way to production, then handed to IT

    The strongest use cases are built properly, secured, and handed to your IT team to run. No shadow tools, no dependency on us, no per-seat fees.

  • Training only, or the full program

    Some companies want the enablement and nothing else. Others want us to professionalize the group into a standing internal AI team. You choose the depth.

    AI workshops and training
  • Built for a sponsor with backing

    The program is usually owned by a head of IT, a chief AI officer, a CEO, a board member, or a commercial leader with a mandate. We give them a program they can defend in the boardroom.

    Executive AI session
  • AI literacy as a side effect of real work

    Article 4 of the EU AI Act asks companies to make sure the people using AI understand it. A group that builds with AI on its own processes gets there by doing, not by clicking through a course.

01Leadership

Founders who still build

Nik and Thomas bring the experience of building companies to the work of changing them. Today, they lead Specialty Tokens across engineering, products, education, and community.

Portrait of Nik Redl

Nik Redl

Director

Engineer and founder. Former Chief of Staff at Soona, founder and CEO of Mokker, grown to over one million users before its acquisition.

At Specialty Tokens, Nik works with teams on the problems they want AI to solve, from the first working session to the engineering and workshops that bring it into everyday use.

He studied Industrial Engineering and Mechanical Engineering at the Technische Universität Wien, speaks German and English, and is a keen golfer.

LinkedIn
Portrait of Thomas Schlossmacher

Thomas Schlossmacher

Director

Builder, operator and educator. Founder of Agentbase in San Francisco and former CPO of New Software. Teaches AI online to more than 75,000 subscribers.

Before Specialty Tokens, Thomas founded Agentbase, a San Francisco managed agent platform, and was CPO of New Software, a venture-backed revenue operations platform for ERP systems. Earlier, he worked at Corecam Family Office.

He studied Mandarin Chinese at the University of Ottawa, speaks German and English, and is a former track and field athlete.

LinkedIn

FAQ

Common questions

What is an AI champions program?

An AI champions program trains a group of employees from across the business to find, build, and spread AI use cases in their own departments. At Specialty Tokens the group is 20 to 30 volunteers, mostly non-technical. They learn to build automations on the company's real systems, collect use cases from their teams, and the strongest ones are taken to production and handed to IT.

Who should join the champions group?

People who volunteer and who know a process well: finance, sales, operations, HR, customer service. Technical skills are not required. What matters is curiosity and a manager who gives them time. The group works best with a mix of departments, so use cases come from across the company.

Who usually sponsors the program?

A leader with backing: typically a head of IT, a chief AI officer, the CEO, a board member, or a head of commercial. The sponsor sets the mandate, protects the group's time, and decides which use cases go to production. Specialty Tokens works with the sponsor from the first assessment onward.

What happens to the use cases the champions find?

They are collected and ranked by effort, risk, and payoff. The strongest are built to production standard with Specialty Tokens' engineers, secured, documented, and handed to the client's IT team to operate. The company owns everything that is built, with no vendor lock-in and no per-seat fees.

Does the program help with the EU AI Act?

It supports it. Article 4 of the EU AI Act requires companies that use AI to take measures so their staff have sufficient AI literacy. A champions group that learns by building on its own processes, with documented training and governance, is a practical way to meet that expectation. It is not legal advice, and we recommend confirming the scope with your legal team.

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