🚀 Enhanced Maia Intelligence, Data Cleanse Component, and Workload Conversion

This week, we're excited to bring you several powerful updates that enhance AI-driven automation, expand data quality capabilities, and streamline your migration workflows. From smarter pipeline recovery to new data cleansing tools and expanded workload conversion support, check out the latest changelog updates to see how these features are designed to make your Maia Foundation experience more efficient and intuitive.

🧹 Data Cleanse Component Enabled for Public Preview

A new transformation component, Data Cleanse, can now be added to the Designer canvas. This native data quality solution removes the need for you to work around data quality challenges by using many different components.

Leveraging the component's data-centric view, you can profile and filter your data to quickly identify data quality issues. You can then apply rules to your dataset to improve data quality, with all actions reflected in real time in the data-centric table view. The component integrates with Maia, which can apply filters to the data sample through natural language and suggest rules that can be applied in one click.

The Data Cleanse component makes it much easier for you to assess and improve the quality of your data, while also serving as a stepping stone to leverage the Maia Foundation in a more data-centric manner, not just as the typical pipeline-centric view.

The component is now available for all Snowflake users as part of a Public Preview release.

Documentation can be found here.

🔧 Maia-assisted Intelligent Pipeline Recovery Improvements

We've enhanced Maia-assisted Intelligent Pipeline Recovery (IPR) to make fixing pipeline failures faster and smarter. The goal is to close the gap between identifying a failure and deploying a fix by reducing the manual work required for you.

What's new:

• Context-aware defaults: When Maia can identify the specific commit hash, it will automatically default to the correct branch and environment
• Suggested branch: In scenarios with multiple possible paths, Maia marks the most relevant options as "Suggested" based on your commit and publish history
• Reduced cognitive load: You can now safely resolve production workloads with less manual investigation into the code's current location

Control meets automation: While moving toward a fully autonomous "Auto-Fix" ecosystem, you retain full flexibility:

• Override anytime: The ability to manually choose a different branch or environment remains available
• Safety first: Maia guides you to the right spot, but you remain the final gatekeeper for your production code

🤖 Maia Update: Improved Tool Approval Experience

We've upgraded how Maia asks for your permission before taking actions, making it easier to stay in control when Maia is working through multi-step tasks.

Previously, when Maia needed to perform several actions in sequence, approval prompts could pile up and feel overwhelming. Now they're presented one at a time with a clear count, and you can decline individual actions with an optional reason—so Maia learns and adjusts.

What's new:

• Stacked approvals: When multiple actions need approval, they queue up neatly—you'll see one at a time with a count of how many remain
• Decline with reason: Tell Maia why you're declining an action so it can adjust its approach, or just decline without a reason—it's optional

How to use it: When Maia wants to perform an action, an approval card appears in the chat. Click Accept, Accept for session, or Decline—if you decline, you can optionally explain why to help Maia course-correct.

🔄 Enhanced Context Management for Workload Conversion Tool

The Convert Workloads tool now lets you add conversion-specific context directly within the conversion workflow. Previously, you had to provide context to Maia either before starting the conversion process or exit the tool midway through to add necessary information, creating a disjointed experience.

Now, after selecting the competitor product and uploading files, you can optionally create or update conversion-specific context to help Maia more accurately replicate business logic from original files. This context can include development standards, detailed schema information, or other relevant details that improve conversion accuracy.

This enhancement streamlines the conversion process by keeping context creation within the logical workflow, eliminating disruptions and maximizing the accuracy of workload migrations from competitor platforms to the Maia Foundation.

Documentation on the conversion process can be found here.

🔄 New Competitors Added to Convert Workloads Tool

In addition to enhanced context management, additional competitors are now supported by the Convert Workloads tool. These include Azure Data Factory (ADF) and AWS Glue, we’re supporting both of these in Public Preview as of this week.

This brings the total number of supported competitor products to 11. Documentation on the conversion process can be found here. This expanded support makes it easier for organizations to migrate their existing data pipelines from these platforms to the Maia Foundation, reducing the manual effort required for workload conversion and accelerating time-to-value for new users.

🤖 Maia Update: Maia Can Now Ask You Questions

Maia can now ask you targeted questions mid-conversation to better understand what you need before taking action.

Why is this helpful? When planning a pipeline or working from vague requirements, Maia sometimes needs more context to get things right. Instead of guessing or asking you to type out clarifications, Maia now presents clear, structured questions—helping it clarify ambiguous requests and narrow down your intent during planning mode.

What's new:

• Single and multi-select questions: Choose from predefined options, or provide your own answer with the "Other" option
• Multi-step forms: When Maia needs to ask several things, questions are presented one at a time with step-by-step navigation—no wall of text

How do I use it? When Maia needs more information during a conversation, a question card will appear directly in the chat.

💬 We'd Love to Hear From You!

Let us know how these new features are improving your workflows—we're all ears! Feel free to add any comments or questions below.

Want to get involved? Join the Matillion Community to stay up to date, share feedback, and help shape our product roadmap for future innovations.