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Artificial Intelligence

Derive the most value from your automation initiatives by incorporating AI


What is Artificial Intelligence?

Artificial Intelligence (AI) is the combination of cognitive automation, machine learning (ML), reasoning, hypothesis generation and analysis, natural language processing, and intentional algorithm mutation producing insights and analytics at or above human capability.

What is the difference between RPA and AI?

Robotic Process Automation (RPA) vs AI

For simplicity, you can think of RPA as a software robot that mimics human actions, whereas AI is concerned with the simulation of human intelligence by machines.


And on the most fundamental level, RPA is associated with “doing”, whereas AI and ML are concerned with “thinking” and “learning” respectively.

At the same time, it is important to realise that RPA and AI are just different ends of a continuum known as Intelligent Automation (IA).

RPA and AI are different ends of the Intelligent Automation Continuum

Different fields of AI

Computer Vision

Object Detection, Image Recognition, Image Moderation, and more

Optical Character Recognition/Intelligent Character Recognition

Capturing and extracting information from documents like invoices, receipts, purchase orders, delivery orders, utility bills, shipping documents (e.g. bill of lading, airway bills, etc.), and more

Learn more

Voice Recognition


Text-to-Speech and Speech-to-Text

Natural Language Processing

Language Detection, Language Translation, Named Entity Recognition, Sentiment Analysis, Text Classification, Text Summarisation, and more


How AI can complement and enhance your automation programme

The combination of RPA and AI is a potent mix that enables you to derive more value from your automation programme. Whereas RPA is focused on executing mundane, menial tasks, AI assists humans in handling complex and cognitive tasks that are probabilistic in nature with high variability.

Here are just a few example use cases of AI:

Intelligent email classification

Loan approval

Product recommend-ation

Fraudulent medical claim prediction

Anomaly detection in audit

Hospital readmission prediction

Visual quality inspection

Data extraction for intelligence gathering

ID information extraction

Inventory management

Fraud detection in banking

Pricing optimisation

Real-time health risk assessments

Tender and RFP opportunities classification

Resume matching

Do you need to know more use cases? Contact us.

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Level up your automation with RPA and AI

Let's look at your processes to discover the automation opportunities you can unlock with the help of AI

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