微软 365 Copilot

What Microsoft 365 Copilot is

Help arrives inside the office programs an organisation already runs, on the argument that reaching work where it sits beats another tool alongside it.

Underneath is described a layer joining data, context and tools, so answers come from company material rather than general knowledge. Shapes vary: a conversation spanning the programs, a mode taking on larger assignments, a search across corporate content, agents, a notebook collecting material for a project, and facilities for producing content.

What you can do with it

Conversation answers questions, drafts material and presents findings without leaving the applications. The heavier mode runs several threads at once, picks a model suited to each, and reaches into whatever is used daily.

Search takes a question rather than keywords and returns material from the organisation's own content and applications. Agents arrive two ways: finished ones from the vendor and partners sit in a store tuned to particular workflows, while others can be assembled or adapted from a template or a plain description. A notebook gathers conversations, files, meeting notes and project material, and can render an audio summary so catching up needs no reading. Creation spans design material, video, audio and questionnaires, with existing work editable from prompts, templates and brand assets. Amounts are elsewhere; three routes exist — attaching it to a subscription you already have, buying both together, or trying the conversation alone.

Who it is for

Organisations already running the office programs, especially ones carrying security and administrative duties, since the page speaks to work, enterprise security and administration rather than personal use.

Everyone inside who writes documents, works through figures or sits in meetings eventually uses it, while purchase sits with whoever administers the environment.

Small firms with nobody administering labels and permissions should not expect the security story to hold by itself. The strongest architecture described here only works where access has already been managed carefully.

What to watch out for

Permissions here are the strongest of anything in this catalogue. An assistant that adopts existing permissions, sensitivity labels and retention settings cannot reveal a file somebody could not already open, and the promise that customer material never trains models is stated flatly. That architecture is what makes deployment inside a regulated organisation possible at all.

Adopting permissions also adopts every mistake already sitting inside them. The familiar failure is not an assistant leaking something — it is a file shared with everybody two years ago for convenience now appearing in front of a person who should never have seen it. Reviewing access before rollout prevents that entire class of incident and counts for more than any feature here. Agents assembled by users are the governance question still open: something built in a studio can read data and act, so a record of what exists, who owns it, what it touches and when it retires is what stops them becoming unaccounted automations. Controls exist, though using them is the organisation's work. The training commitment covers the vendor's own service, while store agents and outside models bring their own terms, so a mixed setup needs reading in its parts, and connectors reaching third-party systems extend reach beyond the tenant and deserve individual review. Specific certifications and audit reports live on trust pages, and amounts sit on the pricing page.