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    June 19, 2025

    Simplifying Data Transformation: How Automic Automation Powers Dynamic Data Pipelines and Business Agility

    8 min read

    Key Takeaways
    • See how Automic Automation leverages generative AI to simplify data extraction, transformation, and loading (ETL) processes.
    • Discover how Automic facilitates dynamic data pipelines for reporting, predictive analytics, and IT operations.
    • Employ Automic's enterprise-grade orchestration, integration capabilities, and AI features to build intelligent data transformation workflows.

    Data is the lifeblood of modern business. From customer interactions and sales figures to operational metrics and financial reports, every organization generates vast amounts of information daily. But raw data, by itself, holds little value. Data’s true power is unlocked only when it's transformed—consolidated, cleaned, structured, and analyzed—to provide meaningful insights.

    However, data transformation is notoriously complex, slow, and resource intensive. It often involves manual scripting, intricate integrations between disparate systems, and constant adjustments as business needs evolve. This challenge directly hinders a company's ability to make fast, informed decisions and react quickly to market changes.

    Automic Automation: Your catalyst for expedited data transformation

    What if data transformation wasn't a bottleneck but an agile, dynamic process? This is precisely what Automic Automation enables. While Automic is widely recognized as an enterprise-grade automation and orchestration platform, its capabilities extend far beyond general task automation, making it an incredibly powerful tool for simplifying data transformation on the fly.

    Automic excels at connecting diverse systems—whether they are on-premises legacy applications, cloud services, databases, or APIs. It acts as the central orchestrator, meticulously pulling data from various sources, applying complex transformations, and delivering it to the correct destination exactly when and how it's needed.

    Automic customers gain deeply integrated generative AI, directly empowering data transformation. This innovation dramatically simplifies the process and enhances its intelligence, making data more actionable, faster.

    The power of AI in dynamic data pipelines: An ASK_AI deep dive

    Let's provide a real-world scenario that illustrates how Automic, with its new ASK_AI function, transforms and expedites the data pipeline.

    Consider the challenge of extracting specific task details from a project management tool, summarizing key information, and then structuring that data for use in another application—all in a fully automated, dynamic way.

    Traditionally, this would involve all these efforts:

    • Writing complex scripts to connect to the project management tool’s API.
    • Manually parsing cryptic JSON responses to find desired data points.
    • Developing logic to summarize text and restructure the data.
    • Maintaining this code as APIs or data structures change.

    Automic's ASK_AI function revolutionizes this. By incorporating natural language processing (NLP) directly into your automation workflows, Automic allows you to simply tell the system what you want to extract and transform rather than programming every step.

    Using Rally as an example, here’s how Automic expedites the process

    1. Intelligent data retrieval: Automic's REST Agent Job connects seamlessly to the project management tool’s API (or any other API, database, or file source). It fetches the raw data.
    2. Natural language transformation with ASK_AI: Instead of writing intricate JSONPath expressions or complex parsing code, you use ASK_AI to provide clear, natural language prompts:
      • “Extract the feature description from this JSON object and summarize it."
      • “From the same JSON, extract the ID, title, and team, and present them as a JSON object."
      • "Now, add the summary you just created as a new attribute to that same JSON object."



      This conversational approach means the AI understands your intent, dynamically analyzes the data, and performs complex transformations—such as summarizing a broad description and structuring disparate fields into a precise JSON output—without requiring you to write a single line of data-parsing code.
    3. Dynamic output and processing: The AI-generated, perfectly structured JSON object (containing both extracted fields and the AI-summarized description) is immediately ready for further processing, whether that's loading into a data warehouse, triggering another workflow, or generating a report.



      The result? By harnessing the power of generative AI, a process that would have taken hours or days of manual scripting and testing is now achieved in minutes, with significantly reduced effort and a higher degree of accuracy. This dramatically shortens your time to value for critical data insights.

    Beyond the example: Transforming data across business functions

    The ability to expedite data transformation with Automic and ASK_AI opens up a myriad of business use cases across various departments:

    • Financial reporting and compliance: Automate the extraction and transformation of financial data from disparate ERP systems, accounting software, and spreadsheets into consolidated reports for faster monthly closes or regulatory compliance. ASK_AI could help harmonize varied data formats or summarize complex financial narratives.
    • Customer experience enhancement: Combine customer data from CRM, web analytics, and support tickets into a unified profile. ASK_AI can intelligently extract sentiment from unstructured support notes or summarize purchasing behaviors to power personalized marketing campaigns or predictive customer service.
    • Supply chain optimization: Aggregate inventory levels, supplier data, and logistics information from various systems. Transform this data to gain real-time visibility into your supply chain, helping you to identify bottlenecks, forecast demand, and enable predictive maintenance.
    • IT operations and security analytics: Collect vast amounts of log data, performance metrics, and security alerts from across your infrastructure. Automic can transform this data to identify anomalies, conduct root cause analysis (a use case specifically enhanced by Automic 24.4's GenAI), and trigger automated remediation, improving system uptime and security posture.
    • HR analytics and talent management: Extract and unify employee data from HRIS, payroll, and performance management systems. Automic can transform this data for workforce planning, managing diversity initiatives, or identifying skill gaps, allowing HR to become a more strategic business partner.

    In each scenario, Automic ensures that valuable data isn't trapped in silos or delayed by manual processes. It makes the data dynamic, accessible, and actionable.

    Why Automic stands apart

    If you are responsible for data pipeline automation and data transformation, you should understand why Automic is uniquely positioned to deliver these benefits:

    1. Enterprise-grade orchestration and scalability: Automic isn't just a point solution; it's a proven, robust platform designed to manage and orchestrate millions of tasks across complex, heterogeneous IT environments. This means your data transformation workflows are not only fast but also reliable, secure, and scalable to meet growing business demands.
    2. Broad integration capabilities: Automic boasts a vast library of out-of-the-box integrations for virtually any enterprise application, database, cloud service, or operating system. Whether your data resides in SAP, Oracle, AWS, Azure, Google Cloud, or mainframes, Automic can connect to it. This eliminates the need for custom coding for every integration point.
    3. Centralized control and visibility: Manage all your data transformation workflows from a single pane of glass. Automic provides comprehensive monitoring, auditing, and reporting, ensuring compliance and giving you complete visibility into your data pipelines.
    4. Low-code/no-code approach (enhanced by AI): While Automic has always promoted a low-code approach to automation, the introduction of ASK_AI pushes it closer to no-code for specific data transformation tasks. This empowers a wider range of users, not just developers, to build and manage sophisticated data workflows, dramatically shortening development cycles.
    5. Intelligence and dynamic adaptability: With generative AI, Automic workflows become more intelligent and adaptable. These workflows can interpret requests, dynamically parse complex data, and even suggest optimizations, leading to more resilient and efficient data pipelines.

    In essence, Automic provides more than just data transformation; it offers true data orchestration. It's the intelligent fabric that connects your entire enterprise data landscape, extracting, transforming, and delivering insights dynamically. Ultimately, the solution fuels faster business decisions and delivers a significant competitive advantage.

    To learn more about Automation by Broadcom and our vision for the AI-powered and automated future and see a demo of ASK_AI, watch this webinar: AI-Powered Automation: Automic Automation and Beyond.

    Michael Grath

    Michael leads the Broadcom AOD Automation engineering organization, which has over 150 global team members. His responsibilities include Automic Automation, AutoSys, and Automation Analytics & Intelligence products and promoting innovation in product development through the use of generative AI.

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