Problem 1
Too many ad-hoc requests
When business teams cannot access data directly, every question becomes a ticket. Analysts spend time on low-value data pulls instead of building.
For executives
Live business KPIs your whole leadership team can trust.
Open DataPilot and see your company's key numbers right away. Ask follow-up questions in plain language. Get answers built on approved metric logic, not ad-hoc queries. No SQL, no wait, no analyst request required.
Designed for CEOs, COOs, PMs, finance, and operations stakeholders who need trusted data without database access.
The problem
Business teams need answers. They should not depend on ad-hoc SQL requests forever.
CEOs, COOs, PMs, and operations teams constantly need data to make decisions. Routing every question through an analyst or engineer does not scale. But giving everyone raw database access creates governance, security, and quality problems.
Problem 2
Raw access is too risky
Direct database credentials for every stakeholder creates security exposure, governance gaps, and no visibility into what was queried or exported.
Problem 3
AI tools without boundaries
Connecting AI assistants directly to production databases creates unpredictable query patterns, no delivery structure, and no audit trail.
What DataPilot changes
Live KPIs, governed answers, trusted reports
Analysts define and publish the metrics once. Business teams get live KPI cards, can ask follow-up questions, and receive reports built on the same approved logic. The SQL stays with engineering. The answers reach everyone.
For business teams
Live KPIs on the screen you open every morning
See your company's most important numbers the moment you open DataPilot. KPI cards refreshed on schedule, based on trusted queries that analysts maintain and approve.
Conversational access
Ask follow-up questions naturally
Ask questions in plain language and get answers built on approved metric logic, not raw free-form SQL. KPI cards, trend data, and clear written responses.
What engineering keeps
Query control and scheduling
Analysts author, version, and approve the logic. They decide which metrics are available, what context is needed, and where execution runs.
What engineering keeps
Execution boundaries and audit
Every business data access has a log entry. Private execution keeps runs near protected databases. Raw SQL never leaves the engineering layer.
How it works
From analyst to executive in three steps
Analysts define the metrics once. DataPilot makes them available to the whole leadership team as a live, governed experience.
1
Analyst builds and publishes
An analyst writes the SQL, adds context and thresholds, and publishes the KPI to the business catalog. The logic is versioned and approved.
2
Leader sees live KPI overview
The CEO or COO opens DataPilot and sees the KPI Overview with current values, trend direction, and any active alerts. No SQL, no spreadsheet.
3
Ask a follow-up question
The leader asks a follow-up question in plain language. DataPilot answers using the approved KPI catalog as its source. No analyst request needed.
Why this is better than emailing analysts
Faster, repeatable, and more operational
Faster
No wait for analyst availability. Outputs are ready when scheduled or available on demand.
Repeatable
The same trusted logic runs every time. No variation from one analyst to another.
More operational
Analysts get time back. Business teams get structured access instead of ad-hoc requests.
Less fragile
No dependency on who wrote a Slack message or remembered the right filter. Logic is versioned and approved.
Ready to give your business teams better data access?
Start free or talk to us about your rollout needs.