Welcome back to the Matillion New Features Blog! This week, we're excited to introduce powerful new capabilities for Maia and significant enhancements to pipeline quality management. From AI-powered table mentions and specialized sub-agents to automated quality fixes and reusable skills, these updates are designed to make your data workflows more efficient and intelligent. For a full list of recent changes, be sure to check our changelog updates.

🧠 Maia Update: Skills Are Here

We're happy to introduce skills — a way to extend Maia with reusable, specialized knowledge for your projects. Skills give Maia step-by-step guidance for specific tasks, so it follows your team's best practices every time.

Complex or domain-specific tasks often need detailed, consistent instructions that go beyond what an AI assistant knows out of the box. Skills let you encode proven approaches once and have Maia apply them automatically whenever they're relevant.

What's new:

• Built-in skills: Maia ships with curated built-in skills for common tasks, such as Iterator Components guidance for building pipelines that loop over data, retry on failure, and more. We'll be adding more built-in skills over time.
• Project skills: Create your own custom skills by adding a SKILL.md file to your project's .matillion/maia/skills/ directory. Encode project-specific patterns, conventions, or step-by-step procedures that Maia will follow.
• Automatic activation: When a task matches a skill, Maia activates it automatically — no manual steps needed. You'll see which skill is being applied as Maia works.

How to use it: Built-in skills work automatically. To create your own, add a folder under .matillion/maia/skills/ in your project with a SKILL.md file containing a name, description, and instructions. Maia will discover and use it in future conversations. For more information, read the Skills documentation.

🤖 Maia Update: @ Mention Your Database Tables in Chat

We're happy to introduce a new way to work with your data in Maia — you can now reference specific tables directly in chat using @ mentions.

Why is this helpful? If you already know which tables you want to work with, @ mentions let you reference them precisely — no ambiguity. And if you're not sure exactly what you're looking for, Maia still has you covered — just describe what you need and it'll find the right tables for you.

What's new?

• Table mentions: Type @ in the chat to reference specific tables directly.
• Search-driven navigation: Results load as you search — drill down through databases and schemas to find the table you need.
• Full path support: Build precise references using dot notation (e.g. @DATABASE.SCHEMA.TABLE).
• Multi-platform: Works with Snowflake, Redshift, and Databricks.

How do I use it? Type @ in the Maia chat input to open the mentions picker. Search and drill down through your databases and schemas to select the table you want to reference.

🎉 Pipeline Quality Reviewer Improvements

Three new pipeline quality features are now available to help you maintain higher code quality and streamline your development workflow within the Data Productivity Cloud.

• Maia Autofix leverages AI to automatically detect and fix common pipeline quality issues. When Maia identifies fixable problems such as incorrect component naming, missing start/end components, or unused components, it will plan the necessary fixes and request your confirmation before applying changes. This allows you to resolve common issues in seconds rather than spending time manually editing components across multiple pipelines.
• Review All enables you to validate multiple pipelines simultaneously. You can now review all pipelines in your project against quality rules to efficiently identify issues across your entire codebase, saving significant time when managing large projects.
• Pre-commit Review helps prevent quality issues from reaching your main codebase. By enabling pre-commit review via a checkbox in the commit modal, the system will automatically check for pipeline quality rule violations. Any attempted commits with error-level violations will be blocked, ensuring your main branch stays clean and maintains high quality standards.

For more information about all our pipeline quality features, read our documentation.

💬 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.

This week, we're excited to share updates that will streamline your setup process and enhance your data integration capabilities.

Want a more detailed look at the latest new features and improvements in the Maia Foundation? Check out our most recent changelog updates.

🔗 Account-Level API Credentials

API credentials in the Maia Foundation just got more flexible than ever! We’ve removed the limit on the number of API credentials you can have in a Maia Foundation account, and you can now assign each set of API credentials a specific role at the account level.

This gives you more control over your API credentials, making integration safer and providing clearer separation between different tasks. For more details, read our API credentials documentation.

🤖 Export Hybrid Agent Logs

For customers using a Maia Foundation Hybrid agent, we’ve added a new Export logs agent parameter that automatically sends logs from your agent to Matillion. This means that if you need to contact Matillion Support, we’ll be able to respond more quickly as we’ll have relevant information to hand right away.

For more information, read the Export logs documentation.

🔐 Improved SSO Experience

We've made significant improvements to our Single Sign-On experience to make it quicker and simpler to set up SSO.

• Our SSO setup guide has been fully restructured, and we’ve added new step-by-step instructions with screenshots for Entra ID and Okta, our two most common SSO providers. In addition, we’ve added significantly more detail to our instructions for DNS record creation and testing.
• In the event that something isn’t quite right, we’ve reviewed and expanded the potential SSO-related error messages you could see. These now provide clear, detailed guidance to configure and troubleshoot SSO independently, enabling faster setup and reducing the need for assistance.

💬 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.

This week, we're excited to introduce a game-changing capability that will revolutionize how you migrate to the Maia Foundation. We've launched workload conversion from alternative platforms, making it easier than ever to transition your existing data pipelines. Plus, get to know Maia better in our new Academy course!

🔄 Convert workloads from other platforms

Maia can now convert workloads from nine different products into Maia Foundation pipelines.

Simply select the files you want to convert and decide whether you want Maia to present a plan that you can refine and iterate on as you go, or allow Maia to build with minimal manual intervention. Currently supported products include:

• Alteryx
• Qlik Sense
• Informatica (PowerCenter & IDMC)
• Talend
• dbt
• SSIS
• Palantir Foundry
• SAS Enterprise Guide

This feature is now available in Public Preview. For more information, read our documentation.

🎓 New Maia Academy Course

We have just released a new Maia course as part of the Matillion Academy, showcasing and helping you to use Maia’s incredible capabilities. In this course, you’ll learn how to build a complex data pipeline entirely though natural language prompts.

After completing this course, you’ll be familiar with a range of Maia features, including:

• Maia-made custom connectors
• Context files
• Git integration and Maia
• Automated pipeline generation
• Maia-led pipeline testing, monitoring, and debugging

💬 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.

This week, we're excited to introduce a game-changing update that will streamline your notification workflow and keep your team connected like never before.

🚀 New Release: Platform Notifications via Slack

We're excited to announce that you can now receive pipeline failure alerts directly into Slack channels. Users no longer need to build notification logic into every single pipeline or rely on email alerts.

We've added Slack as a core platform notification delivery mechanism. This allows you to subscribe to notifications for specific projects or environments and route them exactly where they need to go.

Example Use Cases:

• Environment-specific routing: Send development failures to a sandbox channel and production alerts to your high-priority alerts channel.
• Noise reduction: Rather than building alerts into every pipeline, simply subscribe to a project or environment once.

Getting connected takes less than two minutes:

1. Create a Slack app: Follow the Slack Webhook Documentation to create a simple app in your workspace.
2. Generate a Webhook: Enable "Incoming Webhooks" and copy the unique URL for your desired channel.
3. Link to the Maia Foundation: Paste that URL into the Notification Settings within the Maia Foundation to activate the link.

For more information about setting up pipeline notifications, read our documentation.

💬 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.

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This week, we're excited to introduce a major advancement in pipeline observability with Maia's new intelligent recovery capabilities, taking you one step closer to autonomous data pipeline management.

🚀 Maia-Assisted Pipeline Recovery with Automated Fix Suggestions

We've just levelled up Maia's observability capabilities. Instead of just telling you what isn’t quite right, Maia can now help you fix it in a single, integrated workflow.

How does it work?

1. Ask Maia to fix a problem

The failure notification that includes the summary of the failure now includes a Fix with Maia button to begin the recovery process. Click this button to get started.

2. Configure details

To ensure safe recovery, Maia guides you through some quick configuration steps to confirm the branch name for the fix, the branch it’s based on, and your environment.

3. Sit back and watch Maia solve the problem

Maia automatically analyzes the failure type (e.g., schema drift, configuration error), and drafts a fix directly in the new branch for you to review. After you’re happy with Maia’s work, simply publish your changes.

Key Benefits

• Reduced operational burden: No more manual log debugging for common syntax or config errors.
• Safety first: You retain full control and visibility over what Maia changes before it hits production.
• Minimized downtime: Accelerates the path from "Failure Detected" to "Pipeline Recovered".

For more details, read our documentation.

💬 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.