From a submitted form to the case file your team needs.

Convert pages with a document model and define procedure fields. Preserve document, page and attachment relationships. Your application validates dates and required fields before adding results to the case file and requests review for illegible or incomplete inputs.

Select procedures and official sources, retaining dates and municipal scope. Retrieve context to explain requirements and steps, and link the source. The portal handles actual status queries when an authorised case-management interface exists.

A model such as BGE-M3 supports evaluating retrieval across different languages. Test your service’s queries and sources, and preserve language and procedure metadata. Multilingual retrieval and answer generation are separate stages to evaluate independently.

Using authorised recordings, you can evaluate Whisper or another compatible ASR and link text to the original file. An LLM can prepare a draft summary from that transcript. Retain team review and check timestamps if you need to locate contributions.

OCR and document conversion prepare information from pages or images. An assistant retrieves instructions and answers questions with that context. They can share service documents but need different outputs and validation: reviewable case fields and sourced answers for queries.

Consider source preparation and updates, retrieval, inference and portal integration. Estimate concurrent queries and service languages. Start with a group of procedures to compare quality and capacity, and include documentation review and maintenance.

The API connects compatible models to the experience your team designs. Your integration supplies authorised sources, queries available interfaces and presents outputs in the portal. Preserve identifiers and permissions when the workflow involves specific documents or cases.

Use documentation to explain requirements and steps, and query the relevant system for case status. Your application identifies each value’s source. The assistant should communicate what the tool returns rather than infer status from general instructions.

Evaluate whether it finds the right source, explains the next step and routes queries when information is missing. Track unanswered searches, corrections and additional support needs. Review differently phrased questions and use the results to improve sources and the experience.