AI for the enterprise
Ask a question in plain words and get an answer from your own documents, with sources.
A knowledge assistant indexes your content (SharePoint, Confluence, policies, manuals, tickets), finds the passages that answer each question and has a language model write the answer from them, citing its sources.
It is the most common first enterprise AI project: it saves time quickly and is easy to measure. Quality depends on clean, current content and on respecting who is allowed to see what.
Pull in content and split it into searchable chunks.
Keyword and vector search, filtered by permissions.
The model answers using only the retrieved passages.
Ratings and test questions to improve answers.
Typical ranges, not quotes. Scope, data and team size move them most.
Models that read and write language, code and images, available as APIs or inside tools you already use.
Microsoft's kit for building your own AI apps: OpenAI and other models, plus search, speech, vision and documents.
The platform for digital workflows: IT service management first, then HR, customer service and more.
Compare IT service companies with sourced, labelled facts, or post your project and get matched.
