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Service-oriented companies benefit from intelligent automation

Companies in all sectors are adopting intelligent automation as part of their digital transformation strategy to increase compliance and improve quality while reducing costs. Service-oriented companies, in retail, finance, business consulting, and hospitality have improved customer satisfaction, compensated for labour shortages and become faster and more accurate in operations by utilizing Robotic Process Automation.

RPA guide

Increase the return from RPA investments with a pay-as-you-go model

How to implement RPA so that costs correlate with gained business value.

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Guide

Setting up World-Class RPA Maintenance - Why you need it and how to set it up

This guide explores the topic of RPA maintenance and introduces the different RPA maintenance models with a view to helping you scale up your RPA programme.

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Process examples

services-workorders

Work orders

Maintenance work orders can automated to track faulty or damaged parts to increase timeliness.

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When maintenance work orders are automated to track faulty or damaged parts and crucial components within central maintenance, staff are freed from time spent on information duplication as robots handle structured spreadsheets and increase timeliness and accuracy on routine tasks.

customer-master-data

Customer master data

Increasing the quality and speed of updating customer master data is possible without system integration projects.

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A robotic workforce can create higher quality data due to quicker updating of data and a decrease in manual typing errors. Time spent on manual processing can be replaced so staff can focus on  customers.

services-claimshandling

Claims handling

Digital Workers can receive claims from customers and investigate using rule based metrics for a variety of factors.

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These factors can include product batch, raw materials, location, or main components. The robot can create a report for claim processing. Automation also compares claims to analyse cyclical trends and point to potential defects.

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