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What is it?
Intelligent automation connects two layers: the layer of classical automation, which executes fixed steps and rules, with the layer of AI, which understands language, reasons, and handles uncertainty. This makes it possible to automate tasks that are too variable or too language-dependent for purely rule-driven software.
The distinction from simple automation lies in the type of input that can be processed. Classical automation works with structured data and fixed patterns; intelligent automation also handles emails, documents, complaints, and other unstructured input.
Why it matters for SMEs
For SMEs, the biggest time savings often come not from automating mouse clicks but from processing information flows: incoming emails, invoices, requests, and documents. That is exactly where intelligent automation makes the difference.
- Documents and emails are no longer read and forwarded manually, but automatically read, classified, and routed, even when the format or wording varies each time.
- Exceptions are recognised and set aside for human review, rather than letting the entire process stall or continue with an error.
- Existing systems such as an accounting package, a CRM, or a scheduling system are controlled based on what the AI understands from the input, without manual handover.
The result is a continuous process that largely handles itself and only involves people where their judgement is genuinely needed.
How it works
Intelligent automation combines a process layer with an AI layer. The process layer defines the steps and rules; the AI layer processes the input, draws conclusions, and drives the process layer based on what it has understood.
- Receive input: an email, invoice, form, or other document arrives.
- AI processing: a language model or classification model reads the input, identifies the content, and determines the relevant parameters.
- Decision: based on the AI outcome, the system selects the appropriate route or action in the process layer.
- Execution: the process layer carries out the step in the external system, such as a CRM update or a booking.
- Exception: when uncertain or when an anomaly is detected, the system forwards the task to a person for review.
The power lies in the combination: AI makes the input interpretable; automation ensures that the outcome actually takes effect in your systems.
Example in practice
Picture a construction company that receives invoices daily from multiple suppliers by email, in different formats and with varying payment terms. An intelligent automation system reads each invoice, identifies the amount, the supplier, and the due date, checks against the purchase order, and queues the payment instruction in the accounting package. Discrepancies, such as an amount that does not match the order, are not booked but forwarded to the finance employee for review.
Comparison and misconceptions
RPA (Robotic Process Automation) mimics mouse clicks and keystrokes for fixed, structured processes. Intelligent automation adds AI comprehension, enabling variable, language-heavy, or exception-rich processes to be automated as well. RPA is the engine for repetitive click-based work; intelligent automation is the engine for information-processing workflows.
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