AI assistants in a team's daily work

01 / Research and analysis

A briefing for the manager

Task: collect updates from selected sources and identify what needs attention.

Assistant: remove duplicates, filter by agreed criteria and prepare a short briefing with source links.

Result: the manager reviews the shortlist, checks sources and chooses the next step.

02 / Team knowledge base

Decisions stay accessible

Task: retain decisions and instructions after a discussion.

Assistant: extract the decision, conditions and owner, linking the note to its original document.

Result: staff can find the instruction with its source; the author reviews it before saving.

03 / Work task preparation

A task with context for its owner

Task: prepare a change request, such as investigating duplicate CRM enquiries.

Assistant: collect the description, supporting materials and expected outcome in a draft task.

Result: an employee reviews and approves the brief before assigning it.

An employee knowledge-base assistant

Question: “How do I get a purchase approved?”

Source: fictional Purchasing Guide, section 2.
“The employee records the item, quantity and reason. The manager checks the request before passing it to the purchasing owner.”

Example answer: enter the item, quantity and reason, then submit the request to your manager. Source: Purchasing Guide, section 2.

RAG retrieves relevant document passages. The model uses them to prepare an answer, and the employee can open the source to check it. A local model or an API-based model can be connected.

This illustration uses a fictional document. Neither retrieval nor a model runs on this page.