Step 01 AI Compass
01
Understand
- Where does work come in?
- Which systems are involved?
- Who gets to decide?
AI in business, that lightens the load.
AI in business becomes useful when it takes on real work: handling tickets, checking invoices, comparing data, maintaining knowledge, and doing research.
thirdmind turns that work into digital employees: like a new colleague with a clear assignment, access to your systems, and defined permissions. Every step is traceable. Critical decisions stay with people.
Find the first AI process The AI Compass shows where AI can make sense first.
Trusted by teams at
01 Starting point
AI is not the hard part.
The work around it is.
Most of your company already uses ChatGPT, Copilot, Gemini or Claude. That helps with thinking, writing and research. But operational work often stays where it was before: in mailboxes, ticket systems, folders, tables, CRM, ERP, and similar tools.
It is the work no one is excited to start in the morning, but it still eats up hours every day.
02 Next step
Where should we meet you?
Wherever you are today, we can help you move from a first impulse to orientation to the first real implementation.
We need a first shared impulse.
Create a shared picture of what AI can mean at work.
For teams, leadership groups, and events that want to understand what AI can mean in day-to-day business operations.
We want to start, but need orientation.
Find the right first step.
For teams that want to move forward, but still need to sort ideas, risks, data, and feasibility.
We have a process and want to build.
Turn a recurring task into a digital employee.
For teams that want to turn a defined process into an AI system with a task, system access, control, and daily usability.
03 Starting points
The best starting points are repetitive.
01 / Finance
Finance
Check invoices, compare data, prepare exports.
A digital finance employee reads invoices, compares them with goods and price data, marks deviations and prepares data for accounting.
02 / Support
Support
Read tickets, search for context, create draft answers.
A digital support employee takes over the research and draft work for your team. People remain in control where answers carry risk.
03 / Operations
Operations
Structure requests and transfer them to systems.
A digital employee can read information from forms, PDFs, or emails, check master data, and create records in the right system.
04 Approach
AI in business starts small and scales with control.
Many projects start in the AI Compass. There we clarify which work occurs often, can be limited clearly enough, and genuinely disrupts everyday operations.
Step 02 Pilot phase
02
Implement
- Connect 1-2 systems
- Set up channel and access
- One clearly defined task
Step 03 Iterative
03
Scale
- Connect additional systems/data sources
- Refine approvals
- Expand scope, rights, and approvals
05 Current projects
This is what a digital employee looks like in practice.
A digital employee is not an abstract AI project. It has a name, a task, a channel, system access and clear boundaries.Examples from our project work:
Case · 2026 · babyartikel.de
Finn
Digital Finance Employee
Checks invoices, compares goods and price data, and prepares approved cases for accounting.
Example: Invoice checked against order · Price deviation marked · Handover for approval.
Case · 2025 · AI Training Institute
Sam
Digital Support Employee
Reads support tickets, seeks context across multiple systems, and creates draft responses for humans.
Example: Ticket read · Context pulled from Notion · Draft answer prepared.
Case · 2026 · Burgenland Messe
Eva
Digital Operations Associate
Processes exhibitor inquiries from forms, PDFs, and emails and prepares records in the on-premise CRM.
Example: PDF application read · Master data checked · CRM record prepared.
Case · 2026 · sleep²
AI Sleep Coach
AI system in the product
Evaluates sleep data and creates personalized sleep analysis cards directly in the sleep² app.
Example: Sleep data read · Analysis card written.
Case · 2026 · IRC
Kolloqo
AI interviewer
Conducts a guided interview, collects the required information, and fills out a questionnaire.
Example: Interview conducted · Transcript analyzed · Questionnaire answers derived.
06 Security
Control belongs in architecture.
EU hosting
Backend and AI models used are operated in the EU.
Roles and rights
Per employee, per system, per data type.
Audit logs
Every step is traceable and exportable.
Human-in-the-Loop
People stay responsible where the risk is real.
No provider training
Customer data is not used to train third-party models.
07 Voices
What people say after the first project.
The workshop with thirdmind showed very clearly: AI is not for lazy people, but for those who want to do more. Many small adjustment screws became tangible because the big picture was clearly organized.
Katrin Pascher
Product Owner / Brand Management · Wien Energie
thirdmind helped us develop the AI-based sleep coach for our sleep² app with strong technical care. The structured project management, clear scoping, and specific implementation for our application were especially valuable. Without thirdmind, we would not have reached this level of quality.
Dr. Thomas Winkler
CEO · nukkuaa GmbH / sleep²
Finn does not replace accounting for us. It takes over the preliminary checks. That is exactly the part that takes time every day: comparing invoices with goods receipts, master data, and conditions, and surfacing only the cases that need attention.
Christin Pfeuffer
Teamlead Finance / Accounting · babyartikel.de
thirdmind quickly developed a clear architecture, structured data logic and a functioning GenAI-first prototype from complex requirements. The collaboration was pragmatic, technically strong and always focused on implementation.
Samir Shehata
Head of Product · Wertstatt8 / Energie AG
Clarity before implementation
Which AI step makes sense next?
Start AI CompassIn the AI Compass you evaluate use cases, concrete processes, data, risks, and feasibility before the budget goes into implementation.