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AI data analyst for agencies and consultants

Updated 2026-07-01

Agencies and data consultants live in client deliverables — reports, dashboards, recurring updates. An AI data analyst lets you connect each client's data, ask questions in plain English, and export a polished report to PDF, slides or Excel. It's a consultant amplifier: less time hand-building charts, more time on the insight.

Sources it connects for client work

  • A client database (PostgreSQL, MySQL, SQL Server) or warehouse (BigQuery, Snowflake).
  • Client spreadsheets and exports (Google Sheets, CSV, Excel).
  • Bring-your-own-key means each engagement runs on a key you control.

What agencies use it for

  • Recurring client reports exported to PDF, slides or Excel
  • Read-only share links so clients can self-serve a dashboard
  • Quick answers during a client call, without opening a query editor
  • Standardising how a metric is defined across a client's data

Why it fits agencies and consultants

Client data is never clean and rarely documented. An AI data analyst annotates the schema and remembers the definitions you set per client, so each engagement gets faster over time. The end-to-end flow — question to chart to exportable, client-ready report — is exactly the deliverable agencies sell.

Frequently asked questions

Yes — each data source and its learned definitions are isolated per account, and you bring your own AI key.

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