What's the difference between IA and hyperautomation?

They're related. IA combines RPA+AI for smart automation. Hyperautomation is a broader strategy of automating everything possible using multiple technologies including IA, process mining, and low-code tools.

When should I use IA vs pure RPA?

Use RPA for stable, rule-based processes with structured data. Use IA when processes involve: unstructured documents, decisions/judgment, variations in inputs, or exceptions that need handling.

How much more does IA cost than RPA?

IA typically costs 2-5x more to implement than basic RPA, but handles more complex processes and exceptions. ROI depends on whether your processes need AI capabilities.

Do I need data scientists for intelligent automation?

Not necessarily. Many IA platforms include pre-built AI capabilities (document extraction, sentiment analysis). Custom ML models need data science expertise, but that's becoming less common.

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Intelligent Automation

Combining RPA with AI capabilities like machine learning, NLP, and computer vision to automate processes that require judgment, learning, or understanding unstructured data.

In-Depth Explanation

Intelligent Automation (IA) extends RPA by adding AI capabilities, enabling automation of more complex processes that require understanding, learning, and decision-making.

IA components:

RPA: Base automation for repetitive tasks
Machine learning: Pattern recognition and prediction
NLP: Understanding text and language
Computer vision: Processing documents and images
Process mining: Discovering automation opportunities

IA vs RPA:

RPA: Follows rules exactly, can't handle exceptions
IA: Handles variations, learns from data, makes decisions

Intelligent automation capabilities:

Document understanding and extraction
Email triage and response
Sentiment analysis and routing
Anomaly detection
Predictive decision support

Business Context

Intelligent automation handles the 20% of exceptions that cause 80% of manual work. It automates end-to-end processes, not just individual tasks.

How Clever Ops Uses This

We design intelligent automation solutions for Australian businesses, combining AI and automation to handle complex processes that pure RPA can't address.

Example Use Case

"Invoice processing that uses OCR to read any format, ML to extract fields, NLP to match purchase orders, and RPA to enter the ERP - handling exceptions automatically."