Successful AI projects do not start with a model but with a clear process problem. The greatest benefit arises where many similar decisions or documents are handled.
Pre-process documents automatically
Invoices, orders and forms can be classified, extracted and prepared for review. The final decision remains with the responsible staff.
Use images as business data
Computer vision can recognise products, rooms or damage and, for example, support a visual product configurator. Such claims should be backed by a concrete use case, measurable results or a traceable pilot project.
Review LLM output on the merits
Large language models (LLMs) can classify, summarise or draft texts, but they also produce incorrect or fabricated results. Critical decisions therefore need appropriate human review and clear escalation rules.
Start with measurable pilot projects
A limited use case with a clear error rate, processing time and cost per transaction delivers reliable results faster than a broadly scoped AI programme.
Plan for data protection and regulation
Data flows, storage locations, role permissions and logging belong in the architecture from the start. Depending on the use case, obligations under the EU AI Act and requirements for AI literacy may also be relevant; the specific classification should not be asserted across the board.
Facing a similar problem?
We analyse your starting point and show you a pragmatic next step.
Book an initial consultation