Content drafting

When a request reaches a connected queue, a Beam agent gathers the surrounding context, then prompts a Mistral model to write a first draft using the tone and content rules your team approved. It saves that draft to the record or a review field wherever the connector and permissions allow. Clear, high-confidence drafts move ahead, while anything touching a sensitive account, an unusual ask, or a weak-confidence result goes to a person who edits or approves it before anything is sent. The agent covers the repetitive first pass and people keep the final say.

Text classification

Incoming text such as tickets, emails, or form entries can pile up faster than anyone can sort it. A Beam agent feeds each item to a Mistral model, applies the category labels your team defined, and files the result onto the matching record so downstream work knows where it belongs. Items the model labels with strong confidence proceed automatically. Ambiguous wording, mixed topics, or anything the model is unsure about is set aside for a person to label, and that decision teaches the agent how similar cases should read next time.

Summarization

Long email threads, call notes, and documents slow down whoever picks up the work next. A Beam agent passes the full text to a Mistral model, requests a summary shaped by the length and focus your team chose, and attaches it to the relevant record where permissions allow. Routine summaries post straight to the field. When the source is contradictory, legally sensitive, or unusually long, the agent flags it for a person to confirm the summary reflects the source accurately before it becomes the reference version others rely on.