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What is AI Automation?

AI automation is revolutionising industries by taking on repetitive tasks and tackling complex workflows, to help businesses cut costs, increase accuracy and free up employees for more advanced tasks.

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Types of AI Automation

Listed below are key types of AI automation that are making an impact across businesses:

Automation Technologies Quick Automation Definitions
RPA Robotic Process Automation (RPA) is a software technology that uses "digital robots" or bots to automate repetitive, rule-based digital tasks typically performed by humans, mimicking their interactions with applications and systems
AI Artificial Intelligence (AI) is a field developing computer systems that mimic human cognitive abilities like learning and problem-solving to perform complex tasks.
BPM Business Process Management (BPM) optimises business operations by strategically automating and improving workflows for greater efficiency.
IA Intelligent Automation (IA) strategically combines RPA, AI and BPM to achieve end-to-end automation and drive significant business value.
Enterprise AI Enterprise AI uses automation to enhance business processes, leveraging machine learning and data-driven insights to improve efficiency, decision-making and scalability.
Neural Networks Neural networks are used to create intelligent systems that can learn from data to perform complex tasks like visual inspection, robotic control, and predictive maintenance.
AI Agents AI agents are software programs that use artificial intelligence to autonomously perform tasks, make decisions, and interact with users or systems.
Machine Learning Automation that leverages various machine learning algorithms (beyond neural networks) for tasks like prediction, decision-making, classification, and anomaly detection.
NLP Automation that utilises Natural Language Processing (NLP) to understand and process human language for tasks like intelligent document processing, sentiment analysis, and content generation.
GenAI Automation that employs generative AI models to create new content (text, images, code, etc.) for tasks like content creation and data augmentation.
IDP Intelligent Document Processing (IDP) automates the extraction and processing of information from unstructured documents using NLP and ML.
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Frequently Asked Questions (FAQ)

AI automation works to handle repetitive and time-consuming tasks with the goal of streamlining a given workflow. Using intelligent automation in this way helps businesses to reduce costs and boost efficiency. It also allows human talent to focus their time on strategic work instead of more tedious responsibilities.

AI automation uses both machine learning and natural language processing (NLP), which is able to to understand and respond to human language, can analyse large swaths of datasets and make intelligent decisions. Machine learning (ML) provides AI with the ability to analyse data and then recognise and predict patterns so it can make decisions based on historical data.

Some of the most common examples of AI automation in business are Artificial Intelligence(AI), Chatbots, Robotic Process Automation (RPA), Business Process Management(BPM), Intelligent Automation (IA), and AI Agents.

AI automation is being rapidly adopted across diverse industries, including healthcare, manufacturing, automotive, and customer-focused sectors.

AI automation is well-suited to helping businesses work smarter by handling time-consuming or data-heavy tasks. These include:

  • Delivering real-time customer support through ai chatbots
  • Generating leads and forecasting sales to help sales reps focus on the right opportunities
  • Processing documents and extracting relevant data with greater speed and accuracy
  • Powering personalised marketing strategies and content that speaks directly to each customer