Two decades of AI experience in the team · Development, operations, research, innovation
We speak AI. And that is why we build systems that work in day-to-day operation.
Deep understanding of AI is the starting point. The difference shows up in production — with measurable business value.
We speak AI.
Development
From machine-learning models to production-ready AI systems — development that goes past the prototype.
Operations
Long experience running productive AI systems — not only in setting them up, but in everyday use.
Research
Ongoing applied AI research that places new methods early and makes them usable.
Innovation
Spotting and trying new AI approaches before they become the industry default.
That depth is why AI projects at Werth Digital become systems that run in production — not just prototypes.
Most AI projects never leave the pilot stage
Workshops, prototypes, demos — many companies have already tried AI. Between the pilot and day-to-day operation, the process usually breaks down: no integration into existing systems, nobody responsible for running it, no clear contribution to value. What remains is a slide — not a system.
That is the gap Werth Digital works in.
The approach: Analyse, Build, Run
One continuous process from the idea to a system in operation — with business value in focus at every stage.
Analyse
Find the areas with the greatest contribution to value and prioritise concrete AI use cases that can actually be built.
Build
Develop individual AI systems that fit into existing processes and system landscapes — not an island, not a demo.
Run
Ongoing operation, monitoring, and continuous development — with clear responsibility for the result and the value created.
Built in-house. Run in-house.
Alongside client-specific systems, Werth Digital builds its own AI products — used in real operations, developed further, and only then opened to other companies.
Wunderdrive
From static document management to active AI document work — built and validated in our own operations.
Agent-Stack
A self-orchestrated and managed platform on which organisations create their own agents and equip them with individual context and tools — and step away from dependence on a single AI provider.
PostForge
A platform for AI-supported content creation: from idea generation and research through several post variants and review cycles to automated scheduling and monitoring.
Meet-Mind
Automates how meetings are documented — transcription, summaries, and the later review of recorded audio.
Further reading
In the long run, using AI in a company should be as ordinary as accounting software — reliable in the background, without a daily need to explain it. Getting there still takes work.
More on how Werth Digital works →The next step
A short potential analysis shows where the strongest lever is for an AI solution that actually runs in production.
Get in touch