AI Data Analysts

Turn company data into decisions instead of another dashboard nobody checks.

Important signals sit across tools and are noticed only after a manager manually checks the numbers.

Managers receive the signal and context they need without assembling reports by hand.

  1. Sources connected
  2. Metrics normalised
  3. KPIs calculated
  4. Anomalies checked
  5. Report prepared
  6. Decision-maker alerted

What the system can do

KPI trackingReportsAnomaly detectionAlertsSales analyticsManagement insights

Built into the existing stack

DatabasesCRMAnalyticsSpreadsheetsDashboardsMessaging

People decide what action to take; the analyst gathers evidence and flags what changed.

Where this system fits

Daily reporting

Sales performance

Operational alerts

Questions before architecture

What do AI Data Analysts do?+

They combine operational data, calculate agreed metrics and surface changes with supporting context.

Do they make business decisions?+

No. People decide what action to take; the analyst gathers evidence and flags what changed.

Which sources can they use?+

They can connect to databases, CRM, analytics, spreadsheets, dashboards and messaging systems.

What process should AI take off your team?

Describe what your team currently does manually. We'll show you what can be automated and what should stay human.