AI Integrations
Applying AI models inside existing systems for document processing, internal search and content automation.
AI is not a product on its own — it earns its place inside an existing process. So a project starts with the process rather than the model: which task consumes time, and who checks the result.
The work we are asked for most often is extracting data from documents, search across an internal knowledge base, text classification, and automating parts of content production.
During implementation we define up front where output can be wrong and at which point a person intervenes. Automation running without review usually creates more problems than it solves.
