An investigation layer for business teams — not a generic chatbot.Business users ask plain-language questions about reports, dashboards, refreshes, and KPIs. QuietLens BI traces them across the warehouse, orchestration, BI, and ticketing systems your team already trusts, then returns an answer with lineage, ownership, confidence, and a recommended next action.
The problem
When a daily revenue report is missing, dashboards disagree, or a KPI moves the wrong way, business users ask in Slack, engineers triage by hand, and the answer arrives hours later without an audit trail. Business context rarely matches database context — and dashboards alone can't explain themselves.
The QuietLens approach
QuietLens BI connects to approved sources, follows lineage across pipelines and reports, returns answers with evidence and ownership, and raises operational tickets with the evidence pack attached. Business users get clarity. Data teams keep control.
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 tools
Power BI · Looker · Tableau
Data warehouse
Snowflake · BigQuery
Pipelines
Airflow · dbt jobs
Semantic layer
Governed metrics
Ownership
Catalog · on-call · audit
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
Why didn't I get the daily revenue report this morning?
Why is this dashboard showing different numbers than yesterday?
Which reports are currently impacted by the warehouse incident?
Who owns this dataset and who should I contact?
What changed in the data since last week?
Was the data late, stale, missing, or blocked — and where?
A QuietLens answer
“Why didn't I get the daily revenue report this morning?”
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
Investigations follow lineage across warehouses, orchestration, transformation, BI, and ticketing. New connectors land through a guided developer flow without exposing credentials to business users.
Get started
Evaluate QuietLens in one focused analyst role — read-only access, governed connectors, setup in an afternoon.