Plain-English answers from the data behind your dashboard.A business user asks a plain-English question, such as how many orders last month. QuietLens BI turns it into one checked, read-only SQL query against the warehouse behind the dashboard. The answer gives the figure, the period, and the latest date in the data. A figure the query did not return is removed before it is shown.
Two checks stand between a question and an answer. Anything that fails either one never reaches the person who asked.
Someone asks in plain English
“How many orders did we have last month?”, typed by the person who reads the dashboard.
Finds the data behind the dashboard
Lists the tables, reads their columns and the latest date in each date column.
Writes one SQL query
Using your certified metric definitions where they exist.
Is it a single read?
The SQL policy checks every query before it runs.
Yes: continues below
No
Refused, never run
Anything that is not a single SELECT is stopped. QuietLens has no tool that writes.
Runs it in your warehouse
Through the read-only login you created, inside your own network.
Is every figure in the result?
A code-level check compares each number and date in the answer with what the query returned.
Yes: continues below
No
The figure is removed
A number the query did not return is taken out before anyone sees it. No answer beats a made-up one.
The answer
The figure, the period it covers and how current the data is, with the query and its result one click away.
QuietLens and QuietMend each work on their own. Together, the ticket QuietLens files when a report has really failed can be assigned to QuietMend, so it starts from the step that caused the problem.
The problem
An analyst expects one number and sees another. Without a view of the tables behind the report, it looks broken, so it goes to the data team as high priority. Someone there then traces the lineage from the source to the final table before anyone can say whether anything failed at all. That is hours for a question that often has a plain answer.
The QuietLens approach
QuietLens reads the warehouse behind the dashboard, read-only, and answers with the figure, the period and how current the data is. When something really has failed, it says which report and which step, with the evidence, and can file that as a Jira ticket, so the data team starts at the cause instead of the top of the lineage.
QuietLens fans in across BI tools, the warehouse, pipelines, the semantic layer, and ownership systems — then returns one structured answer with the evidence behind it.
Approved systems
BI
Power BI
Data warehouse
Snowflake · BigQuery · Redshift · Postgres
Pipelines
Airflow · dbt Cloud
Tickets and chat
Jira · Slack
Code
GitHub commit metadata
QuietLens
AI BI Analyst
Structured answer
Developers manage what QuietLens BI can reach. Business teams get the clean question-and-answer workflow they actually need.
For business teams
For data teams
Developer control path
Approved sources
Guided connector onboarding
Bounded access
Read-only, metric-scoped, allowlisted
Visible record
Every question and generated query is audited
Every answer comes back structured: the finding, the lineage it was traced through, the owner to contact, and a recommended next action — with a confidence indicator and the evidence behind it.
Real questions
How many orders last month?
Revenue by month this year
Which invoices are open?
Did the daily revenue report refresh this morning?
Why didn't the sales report refresh?
Where is the regional margin report?
A QuietLens answer
“How many orders last month?”
Finding
The morning refresh never completed — the upstream pipeline run feeding the report failed, so the report was never generated.
Lineage
Warehouse load → transformation job → BI dataset → daily revenue report, with the failing step identified.
Owner
The owning team and on-call contact, pulled from your catalog and ticketing systems.
Recommended action
Re-run the failed job and confirm the refresh — or raise a governed operational ticket with the evidence pack attached.
Context that grounds the answer
Metric definition
The governed business meaning behind the question.
Warehouse source
The approved table or view used for evidence.
Report lineage
The dashboard or report connected to that source.
Named owner
The team responsible for the metric and its next action.
QuietLens BI is designed around controlled access, visible audit trails, and clear boundaries between business users and underlying credentials.
SELECT-only database access
No INSERT, UPDATE, DELETE, DROP, ALTER, or CREATE
Schema/table allowlists
Query timeout and row limits
Audit logs for every question and generated query
Connector secrets should be stored securely
Business users never receive raw database credentials
Query enforcement path
Question
Business-language request
Allowlist
Approved schemas and tables
SELECT-only gate
Writes are blocked
Query bounds
Timeout and row limits
Audit record
Question and query logged
It works with only Power BI connected, and goes further when the warehouse behind the report is connected too.
Get started
Evaluate QuietLens in one focused analyst role — read-only access, governed connectors, setup in an afternoon.