Smaller teams
Under 30 employees
Depends on the leverage
Worth starting when a single build pays for itself quickly.
Any one of these
- Revenue behind it
- Recently funded
- Already running AI
With the founder in the room.
We train up your team, build your AI systems alongside you, and help you repeat that motion across your org.
Why choose Specialty Tokens?
No polished dashboards on awful data. Just a few systems your team actually runs every day.
- 400+
Professionals trained
- 9+
Organizations transformed
- 75,000+
People learning AI weekly
From “someone vibecoded this” to “the whole team runs it”
Specialty Tokens covers every step: training your teams, growing AI leads inside the company, and putting AI agents into production.
Corporate AI training
Most AI training ends with “that’s a cool thing”, then day-to-day business takes over. Ours is built on your team’s real work and followed up until it sticks.
Learn more about Corporate AI training
AI Champions Program
So you’re not the one-man army. We train an AI lead in each department to spot the work, build it, and bring their team along.
Learn more about AI Champions Program
Custom AI projects
Agents and automations inside your ERP, CRM and inbox, versioned in your repository, running on your infrastructure, with more than one owner.
Learn more about Custom AI projects
01Where things stand
Everyone is using AI. Almost nobody is shipping it.
2023TODAY
02Results by industry
Same discipline, never the same structure
03The Wire-In Method
One method, four stages
We start in week one, not after a six-month strategy deck. Four to twelve weeks from the first audit to a system your own team runs.
01 · Week 1–2
Audit and discovery
We map how work moves through the company and cost every recurring task.
02 · Week 3–4
Strategy and plan
We scope what gets built first, in what order, and who owns each piece.
03 · Week 5–10
Implement and train
We build into the ERP, the CRM and the inbox, in your repository, then train the people who own it after we leave.
04 · Ongoing
Improve and support
We review what runs, fix what drifts, and chase the follow-up that training usually skips.
Audit and discovery: We map how work moves through the company and cost every recurring task.
04How we work
What you can expect
The people you meet build it
Senior engineers, not an internal IT rep reading slides. The person in your kickoff is the person writing the code.
It lives in your repository
Code, prompts and agents live in your GitHub with documentation, so nothing depends on a single owner or on us.
Your data doesn’t leave
It runs in your systems. Nothing is trained on your data or kept by us, and anything touching money, contracts or customers keeps a human approval step.
Your people keep their native tools
AI shows up in the Slack, email, Notion and CRM they already use. No new portal, no zoo of named agents.
05The ROI
A use case that’s real, that everyone can see
- €1bn+
- in assets running on automated operations after a full AI rollout
- $250k
- in stuck ACH payments unblocked
- 54
- scheduled agent runs in three weeks, none started by hand
- 20 hrs
- of manual fund operations saved every week, estimated
06Three ways in
Three ways to just start
Inside your own stackBuilt into the ERP, the CRM and the inbox, not a chat window.
We train a small group of your people to lead AI inside the company: they learn to spot the work worth automating, build it, and bring their teams along.
- An AI lead in every department
- Runs without us
A focused sprint with your leadership or your engineers: executive strategy, a hands-on deep dive, and a pattern playbook you keep after we leave.
- Leadership and engineers
- Playbook you keep
We build custom AI systems your team talks to as one thing, wired into your ERP, CRM, and everyday tools behind it. We work alongside your team from discovery to production and measure the time and costs saved.
- Built with your team
- Production agents
07Who we work with
Best fit: 30 to 250 people
Headcount is a shorthand. Smaller teams fit just as well when there is revenue, funding, or AI already running to make the build pay off.
Our main focus
30–250 employees
Build AI into daily work
AI builds and team training, rolled out team by team or company-wide.
With a decision maker and your team.
Larger organizations
250+ employees
Start in one department, even while IT is still deciding
Ship one real system under your governance rules, then roll it out to the next team.
With an internal sponsor.
08Who we are
Builders, brought together by real problems
We were building in AI in 2022, before the LLM boom. After building and selling startups, we saw the same need across companies: people wanted help making AI work for their everyday problems. We started Specialty Tokens to work alongside them.
Today, we build bespoke AI systems and products of our own, bring together AI engineers and leaders in a private working group, run workshops, and bring executives together. Each is a way to explore hard problems and change how people and departments work.
Speak to us
Bring us the thing that only works 10% of the time. Talk it through with Thomas and see what “rolled out properly” looks like.
Thomas SchlossmacherDirector
Education and implementation of AI systems.
Ready to start
Know where you stand
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.