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    Vikrant Chauhan
    CBAP® · CCBA®
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    Vikrant Chauhan

    CBAP® · CCBA® · AI Product Strategist

    Creator of Business-First AI™ — the methodology for building AI products that start with business problems, not technology.

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    1. Home
    2. Glossary
    3. AI & Automation
    4. Hyperautomation

    Hyperautomation

    Hyperautomation is a business-driven approach that combines AI, automation, and advanced technologies to automate complex end-to-end processes at scale.

    Also known as: Intelligent Automation, Advanced Automation, Enterprise Automation

    Full Definition

    Hyperautomation is an advanced automation strategy that integrates technologies such as artificial intelligence, robotic process automation (RPA), machine learning, process mining, low-code platforms, and workflow orchestration to automate business operations across departments and systems. Unlike traditional automation, hyperautomation focuses on intelligent, scalable, and end-to-end process transformation by enabling organizations to automate repetitive tasks, improve operational efficiency, reduce manual intervention, enhance decision-making, and accelerate digital transformation initiatives.

    Key Sections

    • End-to-end business process automation.
    • AI-powered workflow orchestration.
    • Robotic process automation integration.
    • Process discovery and optimization.
    • Data-driven decision automation.
    • Scalable enterprise automation architecture.
    • Continuous monitoring and performance improvement.

    Prioritisation Frameworks

    Robotic Process Automation (RPA)

    Automates repetitive and rule-based tasks using software bots.

    Intelligent Document Processing (IDP)

    Uses AI and OCR technologies to extract, classify, and process document data automatically.

    Process Mining

    Analyzes operational workflows and system logs to identify automation opportunities and bottlenecks.

    Workflow Orchestration

    Coordinates automated tasks, systems, APIs, and AI models across business processes.

    Common Mistakes to Avoid

    • Automating inefficient processes without optimization.
    • Focusing only on task automation instead of end-to-end workflows.
    • Ignoring change management and employee adoption.
    • Implementing automation without governance or security controls.
    • Underestimating integration complexity across enterprise systems.

    Frequently Asked Questions

    Related Terms

    Digital Transformation

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    Related Pages

    AI Automation ServicesDigital Transformation Consulting