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Research and Intelligence

Build automated, narrative-rich analytics reports

AirOps MCP connects to your data warehouse, analytics platforms, and business tools to assemble comprehensive reports on demand or on schedule. It doesn’t just surface numbers — it interprets them, identifies week-over-week trends, flags anomalies, and wraps everything in a readable narrative. Reports land in Slack, email, or Notion automatically. Teams replace hours of manual Google Sheets work with a workflow that runs in under 3 minutes.

Process

#1

Connect your data sources

Link BigQuery, Snowflake, Google Analytics, or HubSpot. AirOps can pull from multiple sources in a single report run.

#2

Define your report template

Specify which metrics to include, how to segment them, and what format the output should take — narrative summary, table, or both.

#3

Set your delivery schedule

Configure when reports should run — daily, weekly, or monthly — and where they should be delivered: Slack channel, email list, or Notion page.

#4

Review the first output

Run the workflow manually for the first time to review the output. Adjust metric definitions, narrative style, or formatting as needed.

#5

Activate automated delivery

Enable the schedule and the report runs and delivers itself. Any anomalies in the data trigger an additional alert outside the normal report cadence.

Reports delivered to Slack or email on any schedule; Multi-source aggregation from data warehouse + SaaS tools; Narrative insights, not just raw tables; Anomaly callouts and trend analysis included automatically

Key benefits

Publish 10,000+ pages from a single workflow run

Reports delivered to Slack or email on any schedule; Multi-source aggregation from data warehouse + SaaS tools; Narrative insights, not just raw tables; Anomaly callouts and trend analysis included automatically

Connected tools

Ahrefs
BigQuery; Snowflake; Google Analytics; Looker; Slack
Ready to build?

Start this workflow in AirOps — no code required.

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data-anomaly-detection; sales-lead-enrichment; engineering-incident-response

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