Matillion Copilot Gets an Agentic Upgrade

Matillion Copilot gets an agentic upgrade

If you are on the Enterprise edition of Data Productivity Cloud, Copilot is already available in your account. You can find it in Designer, at the bottom left corner of the page.

Copilot, Matillion’s AI assistant, has received an important upgrade with new agentic architecture. Copilot uses natural language processing to generate and maintain pipelines and address data quality issues. Teams that use it see a threefold increase in productivity – in effect tripling their team without hiring more headcount. 

For data engineers, analysts, or even visionary business users, Copilot simplifies the process of building and optimizing data workflows. It’s a gamechanger for teams who often find themselves struggling to meet the increasing demands for business-ready insights.

The new release significantly improves Copilot’s capacity – its depth of reasoning, the way it communicates its logic and the accuracy of its work. 

Watch the video to see Copilot in action:

 

Harness the power of agentic architecture

Behind the scenes, Copilot combines the skills of your modern data team – like a data analyst identifying and selecting the right datasets, and a data engineer transforming that data into business-ready outputs. It deeply understands the semantics of your data assets and knows Matillion’s capabilities inside and out.

By leveraging a powerful architecture of AI agents (personas like data analysts and engineers) and tools (tasks and capabilities aligned to those roles), Copilot intelligently defines optimal pipeline topologies, places the right components on the canvas with the correct properties, and validates both the functional logic and technical soundness of the pipelines.

Improved communication style leads to greater control 

Copilot already provided a high level of control before this upgrade, due to its ability to propose a plan of action and only act on it with your approval. 

Now, Copilot has the ability to explain its reasoning and decision-making more effectively, leading to a boost in productivity, while you retain control over your environment. This collaborative approach keeps you in the driver's seat, while benefiting from AI assistance.

Address a wider breadth of challenges

With its new agentic AI architecture, Copilot now handles more advanced analytical workflows through deeper understanding of your datasets. It selects relevant sources, applies smarter transformations, and validates logic with greater accuracy – enabling multi-step joins, layered enrichment, and complex data quality fixes with less effort.

It also takes generative AI integration further. Previously, AI steps had to be added manually; now, Copilot can decide where and how to embed tasks like summarization, classification, or enrichment. This unlocks real-time, intelligent pipelines that support operational processes as naturally as they serve analytics.

Transform team efficiency and experience

Teams that use Copilot see an increase in productivity across all experience levels. Highly-skilled engineers can automate gritty, mundane tasks, freeing up time to tackle more complex and interesting problems. Less experienced engineers can leverage Copilot to accomplish tasks that may previously have been beyond their capabilities, effectively bridging skill gaps. 

Copilot also keeps all your data in one place, eliminating the need to switch between applications, views and AI tools, for a cohesive user experience. This streamlined workflow further enhances efficiency, and reduces the potential for errors.

Learn more about Copilot and how you can start to use it, or speak with your account manager to find out more. 

Copilot is available in all Enterprise Data Productivity Cloud plans. If you're a Matillion ETL customer interested in transitioning to the Data Productivity Cloud, contact your account manager today to facilitate the process.

Cyril Sonnefraud
Cyril Sonnefraud

Principal Product Manager

Cyril Sonnefraud is a Principal Product Manager at Matillion, leading on the AI strategy and roadmap. Passionate about data, he's a tech enthusiast who has been working for more than 10 years in the field of Data Management, Data Quality & Governance and Big Data at leading Data Integration organizations.

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