Explore
We map where repetitive work, information flows or digital bottlenecks cost the most time.
Services in preparation
Practical AI automation without unnecessary complexity
TukForce AI is in preparation. The services below describe the direction for careful work after the official start: explore first, then design, prototype or implement only when responsible.
What is being prepared
Services for safe, feasible AI
Early conversations, opportunity scans and pilot ideas can already be discussed; commercial delivery and products follow only when the startup phase and funding are sufficiently clear.
In preparation
AI consultancy
Strategic and practical guidance in preparation for translating AI opportunities into safe, feasible automation.
- AI-kansenscans
- Roadmaps
- Prototypekeuzes
Audits and opportunity scans
A sober first analysis of processes, privacy risks and automation opportunities before anything is built.
- Procesanalyse
- Privacycheck
- Quick wins
Custom software & prototypes
Small, focused prototypes that are only built once scope, funding and risks are clear.
- MVP’s
- Dashboards
- Teamtools
Privacy-first AI architecture
Design choices in development for AI with more control over sensitive data, GDPR risk and data sovereignty.
- PII-afscherming
- Lokale verwerking
- Dataminimalisatie
Local and private AI tooling
Research and later implementation of private AI solutions that fit your organization’s data, risks and capacity.
- Interne assistenten
- Kennisbanken
- Veilige prompts
Workflow automation
Direction for reducing repetitive knowledge work with workflows for intake, email, reporting and document processing.
- E-mailclassificatie
- Rapportages
- Proceskoppelingen
Approach
Start small, scale carefully
The intended approach stays deliberately small and sober: first understand what is truly needed, then build only when privacy, feasibility and budget fit.
Design
We choose a safe, feasible AI solution that fits the organization, the data and the budget.
Build
After the official start, prototypes are built only when scope, risks and funding are clear.
Improve
We measure what works, refine the solution and continue modularly where useful.
Examples
Where AI could later make a practical difference
These are possible directions to explore, not claims that ready-made products are already live.
- Process and summarize intake forms
- Categorize emails and prepare draft replies
- Structure reports or meeting notes
- Analyze documents and make them searchable
- Make internal knowledge available through an AI assistant
- Better shield privacy-sensitive data when using AI
Want to think along early or discuss a possible pilot?
During the startup phase, I welcome exploratory conversations about repetitive work, information flows, privacy-sensitive processes, pilot ideas or funding conversations.