Intelligent Process Automation (IPA)

Combining RPA and AI or Machine Learning extends the automation toolbox

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Intelligent automation creates operative and strategic benefits

While software robots are great in boosting efficiency in rule-based, repetitive processes, they can also be taught more complex tasks when machine learning or other AI components are added to the toolbox. Intelligence can be added by making classifications, using machine learning, OCR (Optical Character Recognition), NLP (Natural Language Processing) or NLG (Natural Language Generation). 

Artificial intelligence enables new possibilities in process automation

Making recommendations and decisions

Recognizing and processing pictures

Understanding and processing documents

Understanding and processing speech

Transitioning from RPA to Intelligent automation

First a foundation with RPA must be laid where operative benefits are gained, followed by next steps with Intelligent automation, where strategic benefits can be gained

1. RPA – APPLYING TRADITIONAL SOFTWARE ROBOTICS IN RULE-BASED PROCESSES
OPERATIVE BENEFITS

Automating repetitive tasks that nobody wants to do and eliminating bottlenecks

 

Eliminating humane mistakes and using existing systems efficiently without integration

2. IPA – APPLYING MACHINE LEARNING AND RPA IN OPERATIVE PROCESSES THAT REQUIRE HUMAN JUDGMENT
OPERATIVE BENEFITS

Processes that require human judgement

 

If a process has many rules, those can also be implemented with machine learning model E.g. Risk management, Risk control, Risk reporting, Customer service email

3. IPA – APPLYING MACHINE LEARNING AND RPA IN MANAGEMENT WITH THE HELP OF PREDICTIVE ANALYTICS
STRATEGIC BENEFITS

Predicting demand, order-supply-chain

 

Predicting customer behaviour

 

Predicting and updating pricing models

 

Collecting budgeting information and calculating a forecast

IPA use cases can be found in all functions in organizations – they must be recognized, analysed and prioritized according to business needs

Intelligent Automation use case examples

PREPROCESSING JOB APPLICATIONS

SALES RECOMMENDATIONS

HANDLING CONTRACTS

EMAIL CLASSIFICATION

PREDICTIVE PRODUCTION PLANNING

PREDICTED COST FOR A SITE

What our customers have achieved with Intelligent Automation

Posti has elevated their RPA team to the next level by adding machine learning into their toolbox. 

The automation solution enables faster data processing and reduces the manual workload regarding the business process.

To reduce the increased manual workload, Kekäle chose an intelligent automation solution built by Sisua Digital. 

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Want to know how intelligent automation could benefit your company? Tell us about your automation needs and let’s find the right solution for your company together.

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Read about what’s happening in the field of robotics and AI.