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    Enterprise automation: what it covers and where AI fits

    A plain guide for operations, IT and finance leads who are deciding how to automate work across a whole organisation. Definitions come from IBM's own pages as read on 10 November 2026, and the advice on people and approvals is Kriv AI's own view.

    IBM defines enterprise automation as the use of technology to integrate, streamline and automate business processes across a whole organisation, rather than in separate teams. IBM calls it a holistic approach that aims for central control and strategy over automation, not only lower cost. It can use basic rule-based tools, integrations between systems, robotic process automation, and AI. Our view: the practical questions are which process to start with, which step stays with a named person, and who owns the automation once it runs. Sources were read on 10 November 2026.

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    Enterprise automation: what is it?

    IBM defines enterprise automation as the strategic use of technology to integrate, streamline and automate business processes across an organisation. It says the approach aims to move beyond siloed IT automation and business process automation, and to put automation under central control and strategy so it delivers business value, not only efficiency.

    IBM adds that it can range from basic tools that automate routine tasks such as data entry and document processing, to more advanced solutions for complex processes such as resource allocation and system integration.

    Source: IBM, What is enterprise automation? (https://www.ibm.com/think/topics/enterprise-automation), read 10 November 2026.

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    What are the main types of enterprise automation?

    IBM lists several types. Rule-based automation runs tasks from predefined rules or conditions. Integration automation connects systems such as APIs, CRM and ERP tools so data moves between them. Intelligent automation uses AI technologies to perform complex tasks and adapt to changing scenarios. Robotic process automation uses software robots to automate repetitive, rule-based tasks by mimicking human actions in digital systems. Business process automation uses tools to optimise whole business processes and reduce human intervention.

    IBM's separate page on robotic process automation draws a line between RPA and AI: RPA is process-driven and follows only the processes a person defines, while AI is data-driven and can recognise patterns in data, including unstructured data. IBM says the two complement each other.

    Sources: IBM, What is enterprise automation? (https://www.ibm.com/think/topics/enterprise-automation) and IBM, What is robotic process automation (RPA)? (https://www.ibm.com/think/topics/rpa), both read 10 November 2026.

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    What should you decide before you automate across the enterprise?

    Our recommendation is to settle four things in writing before any build. First, the process: pick one with a clear start, a clear end and an owner, rather than a whole department. Second, the type of automation: a fixed rule is easier to check than an AI step, so use AI only where the input varies too much for rules. Third, the person: name who approves or corrects each decision the automation makes, and which steps it may never take alone. Fourth, the record: decide how each automated action is logged so someone can reconstruct what happened.

    Kriv AI covers how to design the AI step and the human approval in its guide to AI workflow automation, and how agentic AI differs from rule-based automation in its comparison page.

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    Where Kriv helps

    Kriv AI is a consultancy that designs and builds governed AI automation and trains the teams who run it. For enterprise automation that means agreeing the process, the rules and the approval points with your team, building the workflow, and testing it with the people who will use it.

    Scope and price are agreed after a short discovery call.

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    What this page could not confirm

    This page relies on two IBM explainer pages, as read on 10 November 2026. IBM is a vendor of automation products, so its definitions reflect its own framing. We did not compare vendor platforms, test any tool, or review a specific industry's rules for automated decisions. Check the cited pages and your own regulator's guidance before you plan.

    Straight answers

    Frequently asked questions about Enterprise automation: what it covers and where AI fits

    What is enterprise automation?

    IBM defines it as the strategic use of technology to integrate, streamline and automate business processes across an organisation, with central control and strategy over automation (read 10 November 2026).

    Is enterprise automation the same as RPA?

    No. IBM lists robotic process automation as one type of enterprise automation, alongside rule-based, integration, intelligent and business process automation (read 10 November 2026).

    What is the difference between RPA and AI?

    IBM says RPA is process-driven and follows only the processes a person defines, while AI is data-driven and can recognise patterns in data (read 10 November 2026). IBM also says the two work well together.

    Where should an organisation start with enterprise automation?

    Our view is to start with one process that has a clear start, end and owner, and to decide in writing which steps a named person approves before you build.

    How much does enterprise automation cost?

    This page does not quote prices. Kriv AI scopes and prices work after a short discovery call.

    Can Kriv build enterprise automation for us?

    Kriv AI designs, builds and tests governed AI automation with your team and trains the staff who run it. Your own team keeps ownership of the process.

    Talk to the team that would do the work

    Bring your requirements to a working session with the person who'll actually deliver.

    Book a Discovery Call