Fabi.ai January Product Updates

Build, deploy, share data analytics agents in minutes.

2025 is the year of AI agents, and we’re bringing a new, game-changing type of agent to data and analytics teams.

In this update, we’re sharing a preview into things to come with early access of our latest feature for our community (that’s you!)

🤖 Analyst Agent - Early Access

Since mid-2024 we’ve been working on a new form of analyst agent to support data practitioners and it’s been enthusiastically adopted and helps cut down analysis workloads by up to 94%!

But our vision has always been to bring these AI capabilities to the business user as well. This helps remove some of the load on the data team, while creating a data-driven culture. But it was critical to us that the data team be the one to build these agents so that you can trust them as you deploy these.

Now in Fabi.ai Reports, AI is automatically embedded and the AI agent is trained to answer any questions about that specific report. This is powerful because:

  • Self-service analytics: Business users can explore questions about the data on their own instead of following up with additional questions.

  • Data teams controls the agent configuration: These AI agents are trained to only answer questions on that report. No risk of them going rogue and creating random SQL queries that mislead the team.

  • More than just SQL: Under the hood the AI agent operates in Python. Why does that matter? Because Python can do more than just slice and dice data. You can ask the AI to figure out which fields are leading indicators, or run a regression analysis to score leads or even provide a time-series forecast.

Check out a demo walk-through here (5 min) with some tips on how to configure your AI agent.

Analyst Agent in Fabi.ai reports can handle follow-up questions for you.

✨ Other goodies

  • New help center and videos: From any Smartbook you can easily access our help hub by clicking on the question mark. We also have a refreshed YouTube channel with lots of tips and tutorials.

  • Bugs fixes and improvements: We’ve addressed some issues with Excel file extensions and database schema crawling