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Today we’re launching Insights, a new way to stay on top of everything happening in your data with no manual work on your part.

Insights is an AI agent that runs against all your connected data sources every day. It explores everything, finds the most important patterns, anomalies, and milestones, and surfaces them in a clean feed with charts, context, and recommended next steps.

Think of it as a data analyst who works around the clock, reads every table, and brings you only the findings worth your time.

Why we built Insights

Analytics tends to be reactive. Something feels off, someone asks a question, and the cycle begins: open a dashboard, write a query, wait for results, and try to figure out what changed and why.

This cycle is slow, and it only catches the things you think to look for, while the most important findings are often the ones you didn’t expect.

With Insights, the AI tells you what’s happening before you ask. It finds the onboarding drop-off you didn’t notice, the revenue milestone you should celebrate, and the marketing campaign that started outperforming, all before you thought to look.

We built Insights because we believe the future of analytics is proactive. The best data teams surface the questions worth asking as well as answering the ones they get.

How Insights works

Every day, the Insights agent:

  1. Connects to your data across databases, warehouses, and 750+ SaaS tools via Fivetran
  2. Runs deep analysis, scanning for trends, anomalies, correlations, and milestones across your entire dataset
  3. Generates findings, each with a clear explanation, supporting numbers, a chart, and concrete next steps
  4. Delivers your briefing, which you can view in the app or get via email or Slack notifications

The AI prioritizes findings based on magnitude of change, potential business impact, and relevance, so the spikes it reports are the ones that matter.

What kind of insights does it find?

Insights spans every area of your business:

  • Product & funnels: onboarding drop-offs, activation rate changes, feature adoption trends
  • Revenue & growth: MRR milestones, expansion revenue patterns, churn risk signals
  • Marketing campaigns: CPA changes, channel attribution shifts, campaign performance
  • User issues: error rate spikes, support ticket trends, user-reported problems
  • Key milestones: revenue records, user count achievements, conversion rate highs
  • Operational health: API latency changes, pipeline throughput, team velocity shifts

You don’t need to configure what to look for, because the agent explores everything on its own.

How we use Insights at Basedash

We’ve been running Insights internally for weeks, and it’s already changed how we operate.

Last week, Insights caught a regression in our onboarding flow that we hadn’t noticed in our dashboards. Step 3 completion had dropped 18%, and the AI traced it to a recent schema change that broke auto-detection for a common database type. We fixed it the same day.

It also flagged that our MRR had crossed a major milestone. We would have discovered that eventually, but Insights made sure the whole team knew right away.

None of this required anyone to ask a question, build a dashboard, or write a query.

Insights finds what you wouldn’t think to look for

Getting started

Insights is available today for all Basedash users.

  1. Sign up for Basedash (or log in)
  2. Connect your data sources
  3. Open the Insights page from the sidebar
  4. Your first insights will appear within 24 hours

You can enable email or Slack notifications from the Insights page header so you never miss an important finding.

For more details, check out the Insights docs.

What’s next

We have more planned for proactive analytics at Basedash. We’re working on making the agent smarter over time: learning what matters most to your team, connecting findings across time periods, and going deeper on the areas you care about.

Between AI chat for ad-hoc questions, Automations for custom scheduled workflows, and Insights, Basedash now covers reactive, scheduled, and proactive analytics in one platform.

Try Insights today and check the feed for your first findings.

Written by

Max Musing avatar

Max Musing

Founder and CEO of Basedash

Max Musing is the founder and CEO of Basedash, an AI-native business intelligence platform designed to help teams explore analytics and build dashboards without writing SQL. His work focuses on applying large language models to structured data systems, improving query reliability, and building governed analytics workflows for production environments.

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