Experience
Connecting editorial work, digital products and automation
The work combines editorial quality requirements, search optimisation, product development and AI-assisted workflow design. This is particularly relevant when large volumes of content, sources or recurring decisions must be processed consistently.
Responsibility
One accountable contact from problem to rollout
Requirements, system boundaries, test criteria and approvals are defined together. When specialist development partners are required, project coordination, communication and acceptance remain centralised.
Approach
A dependable path from task to production system
- 01
Define the process and measurable target
We narrow down the specific task and define how improvement will be measured, such as less handling time, fewer errors or faster publication.
- 02
Review data, interfaces and risks
Sources, data quality, access rights, existing systems and required human approvals are made explicit before implementation.
- 03
Test with real cases
A limited workflow is tested with representative examples. Results, failure patterns and edge cases determine whether and how integration proceeds.
- 04
Integrate and improve under control
Automation, logging and operations expand only after traceable acceptance. Critical decisions retain defined approval points.
Do you have a recurring process that consumes too much time?
Describe the task, data sources and desired result. The initial discussion determines whether an AI solution is useful, technically realistic and economically sound.
Discuss the project without obligation →