Universal Search (single source of truth)
One of the main problems in project management is the fragmentation of data: part of the information lives in Jira issues, part on Confluence pages, and part in correspondence and comments. Project Intelligence solves this problem with the Universal Search tool.
What is Universal Search?
It is an intelligence layer over your project that unifies data from all connected sources into a single index. Instead of manually switching between different tabs and looking for the right page, you ask a question or type a search query in one window.
How it works
The system uses a combination of semantic search (by meaning) and keywords to find the most relevant fragments of information.
- Query analysis: the AI determines what exactly you are looking for (a fact, a decision, an owner, or a status).
- Data collection: the agent scans all available spaces (Jira, Confluence, internal documents).
- Answer synthesis: instead of a list of links, the system returns a concrete answer formulated based on the data found.
Verification and sources
The main principle of Project Intelligence is a refusal of hallucinations. Any statement made by the system must be backed by a source.
Every answer produced through search contains a Sources block. It includes:
- Direct links to Confluence pages.
- Links to specific tasks or comments in Jira.
- Links to uploaded project documents.
This lets the user get to the primary source in one click and verify the accuracy of the information.
Typical use scenarios
- "Where is the database architecture decision recorded?" → the system finds the corresponding item in the meeting minutes on Confluence.
- "Who last updated the status on issue X?" → the agent finds the latest comment in Jira and outputs the employee's name.
- "What are the main requirements for the payment module?" → the system collects requirements from different specification pages and combines them into a single list.