Many documents to review
Reading files, finding information and entering it into another system takes time and repeats the same checks.
AI in daily work
Turn scattered documents into information your team can use. We design reading, extraction and drafting workflows with the checks each task needs.
The starting point
Reading files, finding information and entering it into another system takes time and repeats the same checks.
Information sits across documents and the team collects it again each time a report is prepared.
A figure without a source or a draft without references adds review work. We define what must remain checkable.
Examples of tasks
These examples help frame the conversation. The scope depends on your process, tools and available information.
Documented experience
Several approaches were evaluated and a system was built to suggest the most likely categories for each document.
On a 1,414-document test set, the final classifier achieved 72.35% accuracy for the first suggestion and 91.51% within the first five. These figures apply to that test.
Read the project and its contextImplementation
Collect representative examples and agree which fields, categories or sections the task needs.
Develop the processing workflow and compare its results with references reviewed by your team.
Connect agreed outputs and provide a way to correct exceptions before the result is used.
Requirements and review
Drafts require professional review. We agree which checks to automate and when a person must intervene.
See scope and deliverablesTell us about a specific task or how your team works. Aritz will review your enquiry so we can discuss the context and agree on a useful next step.
Prefer a conversation?
Book a 15-minute phone callWe will discuss your needs, tools and how we can help. If there is a fit, we will agree on the next step and its scope.
Want to organise the context first?
Find a first workflowA questionnaire about your work, tools and goals. You can see your summary without leaving contact details.