Start with a specific task
Getting started with AI does not have to mean a large transformation project. A recurring process with manageable inputs and a clear result can provide a useful starting point. Together, we look at work that arises regularly and where people currently search for, transfer or prepare information.
Potential uses include making documents accessible, structuring information, preparing content and classifying recurring enquiries. The right approach depends on the available data, quality requirements and necessary expert review.
Combine AI with clear rules
Language models can work with differently worded information and generate drafts. Fixed rules and unambiguous data can often be handled directly through conventional automation. We select the components that fit the task.
A workflow can combine both approaches: information is prepared, reviewed and passed to another application. Clear handovers and understandable decisions matter. The choice of tool follows the intended result and the requirements for processing.
Make knowledge accessible and content useful
Documents and existing texts often contain information that is time-consuming to find in daily work. AI support can help explore this material and prepare it for a particular question. Sources, currency and appropriate boundaries are part of the planning.
In editorial work, AI can organise topics, prepare drafts or adapt existing content for other formats. Responsibility for facts, tone and approval remains clearly assigned. A prepared draft is one step within the process.
Define quality and handovers
We establish how a useful result will be recognised and which cases require a human decision. Suitable examples help assess quality. Incomplete inputs and incorrect outputs are also included in evaluation.
Access rights, costs and approval steps shape the solution. We examine which systems are involved and what information is passed between them. These requirements create clear handovers between automated steps and the people responsible.
From an initial trial to an application
A focused prototype makes the approach testable. We model the selected process and try it with suitable examples. The results show which parts work and where further clarification is needed. They provide a basis for deciding on the next stage.
Our work on AlarmRoutine shows how interfaces and personal routines can be brought together. It focuses on rule-based processes. Experience with these connections complements the development of AI-assisted applications.
What we can do for you
- Identify and define suitable AI use cases
- Support knowledge and document work with AI
- Prepare content and structure information
- Connect systems and recurring process steps
- Develop prototypes with quality checks and clear approvals
- Support teams as they adopt a new workflow
AI consulting and training for your team
Assess the value together
Before implementation, we clarify what the process should improve. This includes the steps currently required, how frequently the task occurs and the significance of possible errors. Depending on the project, a useful outcome may be better-prepared information, an easier handover or less repeated data entry. We agree how this value can be assessed for the selected use case. After evaluation, there is a clearer basis for deciding whether the approach should be continued, adapted or addressed differently.