What the knowledge assistant does
It's the foundation beneath every Aveya module, the part that makes business information searchable, explainable, and reliable.
Connects your sources
Ingests documents and structured data from the systems you already use (SharePoint, file stores, databases).
Creates trusted retrieval
Finds the right passages fast, then answers with sources, so people can confirm what's true.
Keeps ownership clear
Supports tenant isolation and access boundaries so knowledge stays in the right place.
How it works
A simple pipeline that turns raw files into usable answers.
Step 1
Ingest
Bring in documents, spreadsheets, PDFs, and exports. Capture metadata that matters (department, location, type, owner).
Step 2
Index & retrieve
Structure content for fast retrieval. The index is built for citation back to the source with access control inheritance.
Step 3
Answer
Users ask questions in plain language. Aveya returns answers with sources, and can drive the next action (share, export, review).
Why this matters: The difference between an “AI chatbot” and a knowledge assistant is governance and reliability. This layer makes answers auditable and safe to use in real operations.
What teams get
For operators and teams
- Faster answers without guessing which file is current
- Citations for confidence and accountability
- Less time searching, more time acting
For IT and governance
- Clear boundaries (tenants, roles, ownership)
- Private deployment options aligned to Azure
- A platform foundation you can reuse across modules
Example questions
The kinds of queries the knowledge assistant is built to answer.
“Which policy applies to contractors on site, and what are the steps?”
“What's the onboarding process for this role, and where's the checklist?”
“Show me the latest approved SOP and cite where it says X.”
“What's changed between these two versions of the procedure?”
“Where does it say X in the employee handbook?”
“What are the approval requirements for this type of request?”