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Process Automation

Specialized AI agents that can learn your business processes and enterprise tooling

Table of Contents

Table of Contents

    Use case image

    Build process-aware AI agents using reinforcement learning and synthetic data to automate IT operations, streamline workflows, and accelerate innovation.

    Automation
    Automation
    TAP IMAGE TO ZOOM IN

    Cross-industry applications

    Transportation & Logistics

    Healthcare

    Insurance

    Manufacturing & Industrial

    Telecom

    Technology

    Why it matters

    Enterprises rely on manual, repetitive processes across IT operations, software development, and business workflows. These tasks are time-consuming, error-prone, and difficult to scale. Traditional automation tools lack adaptability and struggle to integrate with complex enterprise systems—slowing down innovation and increasing operational costs.

    How it works

    Adaptive ML enables organizations to:

    • Fine-tune small LLMs using reinforcement learning and synthetic data to create process-aware AI agents
    • Automate IT operations such as ticket triage with intelligent, context-driven responses
    • Enhance software development quality and safety through AI-powered code analysis and testing
    • Continuously improve automation through adaptive learning based on real-time feedback

    Business outcomes

    • Increased operational efficiency by automating repetitive IT tasks and reducing manual effort.
    • Smarter workflows through process-aware AI agents that learn enterprise systems and context.
    • Faster innovation cycles by accelerating software development with AI-powered code analysis and testing.
    • Lower costs by minimizing downtime and reducing reliance on manual processes.
    • Improved reliability and compliance through adaptive learning and governance alignment.

    Partner ecosystem

    Changelog

    • Rev.1: Initial release

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