AI Champions Program
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.
Executive AI workshop with the Austrian Federal Economic Chamber, Vienna.
From the Austrian Federal Economic Chamber to venture funds and software companies, we run AI enablement for demanding audiences across DACH and Europe.
Wirtschaftskammer Österreich, PartnerMost large companies are stuck in the same place. The people who could close the gap are already on the payroll.
Everyone has ChatGPT or Copilot. Very little of it touches the systems the business runs on.
A few people have built something clever on their own, on a laptop nobody else can see.
Is nervous about what is running where, and who is responsible when it breaks.
Is asked for the AI strategy, with no better answer than another workshop.
The same sequence in every organization. The depth is yours to choose.
We look at everything you are doing
Systems, data, processes, the AI experiments already running in the shadows, and the rules your IT and legal teams need respected. The program starts from your reality, not a curriculum.
You getA map of the first opportunities and the constraints around them.
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 every exercise is real work, not an example.
You getApproved tools, connected to your systems, in your people's hands.
We train a volunteer group of 20 to 30 champions
Mostly non-technical people from finance, sales, operations, HR, and customer service, sometimes called citizen developers. They learn to build automations and agents on their own processes.
You getAn AI lead in every department who can build, not just prompt.
The champions harvest use cases
They collect and rank opportunities across their departments, each with an owner and an expected payoff, and build the first ones themselves.
You getA ranked portfolio of real use cases, instead of a strategy deck.
We take the best use cases to production
Our engineers build them properly, secure them, document them, and hand them to your IT team to run. Nothing stays a prototype on someone's laptop.
You getSystems in production that your IT team operates and owns.
You choose what comes next
Stop after the enablement, or have us professionalize the group into a standing internal AI team.
You getA program you can extend, or hand over entirely.
The champions
People who raise their hand and know a process well. Technical skills are not required. What matters is curiosity and a manager who gives them time. A mix of departments means use cases come from across the company.
The sponsor
The sponsor sets direction, protects the group's time, and decides which use cases go to production. We work with them from the first assessment and give them progress they can defend in the boardroom.
Leadership teams that want to align first start with an executive AI session.
Connected to the systems your teams use every day, so what they learn is what they ship.
Work with AI coworkers on your documents, spreadsheets and daily workflows.
Microsoft 365 Copilot
Claude Cowork
ChatGPT
Google GeminiBuild, test and review real code in the repositories your engineers already use.
Claude CodeOpenAI Codex
GitHub Copilot
CursorAlready have your own AI setup? We train inside it. Your approved tools, your company accounts and your data policies shape the workshop.
Opportunities collected by the people who do the work, ranked by effort, risk, and payoff. Leadership sees what is worth building and who will run it.
The strongest use cases are built to production standard, secured, documented, and operated by your IT team. No shadow tools, no dependency on us, no per-seat fees.
Champions who keep finding and building after the program ends, and who bring their departments along with them.
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, with training and governance on record.
At TimeTac and Speedinvest, one person inside the company now picks the next use case and implements it in their team. The champions program trains 20 to 30 of them.
Workforce softwareTeam lead: Aina
Aina now leads AI inside the marketing team: picking the next use case, building it, and putting it into the team's routine. The team has no engineers and runs its own reporting and monitoring automations.
Venture capitalTeam lead: Tirza
Tirza now leads AI across the firm's teams: picking use case after use case and bringing each one into the team's daily work. Dealflow intake came first, with compliance checks next.
Some companies want the enablement and nothing else. Others want the use cases in production. You choose.
Enablement
For companies that want the capability in-house and will take it from there.
Full program
For companies that want the use cases in production and a standing internal AI team.
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.
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.
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.
FAQ
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.
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.
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.
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.
The ones your company has approved. For everyday work that is usually Microsoft 365 Copilot, ChatGPT, Claude, or Google Gemini; technical teams work with Claude Code, OpenAI Codex, GitHub Copilot, or Cursor. If you already have your own AI setup, we train inside it, with your accounts and your data policies.
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.
Ready to start
Tell us about your company and we show you how you compare with companies your size, where the gap is, and what to build first to pull ahead of them.
