Intelligent RPA

RPA - Hype or Reality?

Robotic Process Automation “RPA” has been growing slowly but surely over the last 10 years and is now commonly used for enterprise-scale deployments particularly in the US, Western Europe and Japan.

Intelligent Automation, while still in its infancy, promises hugely transformative potential in the near future.

To maximize the impact of robot-led automation, business leaders need to have a solid understanding of the available tools and a clearly defined strategy for automating their enterprises.

Consider the recent headlines about RPA:

Firms will also expand RPA and proofs of concept to broaden the process, product, or experience scope and better understand the impact of AI. RPA and AI technology innovations will combine to create business value while serving as a test bed for broader implementations of AI.

Forrester, 2019 Predictions

RPA is the future of enterprise automation and a key pillar of a digital transformation strategy.

Forbes, July 2019

Robotic Process Automation is one of the hottest areas in the enterprise technology sector these days, reaching $1.9 billion this year.

Gartner, July 2019

Firms will also expand RPA and proofs of concept to broaden the process, product, or experience scope and better understand the impact of AI. RPA and AI technology innovations will combine to create business value while serving as a test bed for broader implementations of AI.

Forrester, 2019 Predictions

RPA is the future of enterprise automation and a key pillar of a digital transformation strategy.

Forbes, July 2019

Robotic Process Automation is one of the hottest areas in the enterprise technology sector these days, reaching $1.9 billion this year.

Gartner, July 2019

Firms will also expand RPA and proofs of concept to broaden the process, product, or experience scope and better understand the impact of AI. RPA and AI technology innovations will combine to create business value while serving as a test bed for broader implementations of AI.

Forrester, 2019 Predictions

RPA is the future of enterprise automation and a key pillar of a digital transformation strategy.

Forbes, July 2019

Robotic Process Automation is one of the hottest areas in the enterprise technology sector these days, reaching $1.9 billion this year.

Gartner, July 2019

Firms will also expand RPA and proofs of concept to broaden the process, product, or experience scope and better understand the impact of AI. RPA and AI technology innovations will combine to create business value while serving as a test bed for broader implementations of AI.

Forrester, 2019 Predictions

RPA is the future of enterprise automation and a key pillar of a digital transformation strategy.

Forbes, July 2019

Robotic Process Automation is one of the hottest areas in the enterprise technology sector these days, reaching $1.9 billion this year.

Gartner, July 2019

What is RPA?

Robotic Process Automation helps companies automate highly manual, time-consuming & repetitive processes.

RPA refers to computer programs “robots” that are able to mimic human action in existing systems and applications, automating rule-based, repetitive & high-volume tasks.

The beauty of RPA, and why companies like it so much, is that it enables customers to bring a level of automation to legacy processes without having to rip and replace the legacy systems.

Initially, RPA did not mimic complex human judgement and intelligence though – this is something which has now evolved with cognitive technologies / AI. A number of RPA platforms such as UIPath, BluePrism & Automation Anywhere, incorporates elements of AI.

RPA does not require any major IT architecture changes or deep integration with the underlying systems. RPA offers a reliable, fast and cost-efficient solution for a “light-weight” integration into processes and IT assets.

What can Robots do?


Robots mimic the way People interact with applications.

They can perform user actions ranging from simple processes to more advanced processes.

RPA interacts with applications the same way a human would – it does not interfere with the underlying application or need to be integrated with it.

Simple

Opening emails and attachments

Logging into web/enterprise applications

Moving files and folders

Copying and pasting

Filling in forms

Reading and writing in databases

Advanced

Following if/then decisions/rules

Collecting social media statistics

Extracting structured data from documents

Making calculations

Connecting to system APIs

Scraping data from the web

RPA Demo

See how a robot has been used to automate Accounts Payable - invoice processing:

Why Us?

We help our clients to automate repetitive & mind-numbing tasks leading to:
Improved workforce productivity
Enhanced operational efficiency with error rate elimination associated with manual tasks
Better customer experience
Improved employee job satisfaction
Cost savings

Our goal is to work with your people to automate your business processes while implementing transformational RPA technology incorporating Artificial Intelligence such as Optical Character Recognition, Computer Vision, Machine Learning & Natural Language Processing.

We help our customers to identify suitable candidates for RPA processes, to implement RPA prototypes & pilot processes, or to perform the wholesale introduction of robots using agile methods in specific functional areas (e.g. Finance, Operations, Customer Service), in shared service centres, or throughout the entire company.

We have built a leading team of forward-thinking innovators and experts, based in the USA, UAE as well as in the Indian sub-continent. The track record of our team includes delivery of solutions to clients such as Walmart, Ford & Etisalat.

RPA solution implementation – we work with you throughout your RPA journey

1. Opportunity Assessment

Which processes are good for automation?
Which processes would be good for a pilot?
How should process owners be engaged with the pilot?
What is the impact of proceeding with a pilot?

2. RPA Platform Evaluation

Who are the main RPA vendors?
Who are the providers that cater to your needs the most?

3. Proofs of Concept & Business Case Development

Why does automation support your business needs?
What are the benefits? The pain points alleviated?
What are the metrics to determine whether automation is valuable?

4. Deployment

Build out the capabilities.
Move the first proofs of concepts into production.

5. Robot Lifecycle Management

What are the benefits of establishing your own Internal Centre of Excellence v/s the outsourced management of robots?
Help you establish your CoE.
Service the robots as an outsourced service, so you focus on your core activities.

6. Scaling & extending capabilities

What cognitive and AI technologies can be deployed to enhance automation?
Off the shelf v/s developed tailored to your needs?

Criteria for RPA

An opportunity does not have to satisfy all of these criteria, but this will help identify areas for exploration

Process standardisation

Process need to be defined in terms of a set of unambiguous business rules.

Rules based exceptions

Simpler processes with little exception in delivery.

Manual work involved

Process should have little automation support today and large amounts of manual work.

Process stability

Process should be well defined and stable.

Number of systems used

Process should typically require employees to access one or multiple independent systems.

Transaction frequency & volume

Process should have high number of transactions which are labour intensive, time-consuming, or has high-cost impact errors.

Prone to error

Manual activities in the process today result in errors due to human operator mistakes.

Structured data

Data needs to be structured, not unstructured (e.g.pdf/email)*
* Today, RPA is unable to directly manage unstructured datasets, requiring cognitive technology to first extract and create structured data using advanced capabilities such as optical character recognition (OCR) and natural language recognition (NLR). RPA can then be applied.

Why RPA?

Benefits go beyond cost cutting & include…


Customer

Speeds up execution

Reduces cycle times, therefore increasing speed to delivery and demonstrating that we value customer time.

Limits errors

Delivers consistent quality helping build trust and providing customers with a seamless experience.

Employee

Frees capacity

Frees up people to focus on more varied, complex, value-adding tasks as well as exceptions that require assessment.

Improves morale

Handles manual work that does not require judgment, increasing their moral and creating a more productive workforce.

Finance

Delivers quality & consistency

Delivers consistent quality and drives operational efficiencies to increase productivity and ensure operational excellence.

Provides flexibility & scalability

Is adaptable, agile, scalable and can be implemented quickly, without changing existing IT infrastructure and systems.

Increases compliance & control

Provides detailed monitoring and tracking for operational and regulatory purposes.

Gives competitive advantage

Reduces costs and provides high potential ROI which can be leveraged to drive critical initiatives.
Customer benefits are benefits that help Finance deliver leading end-to-end customer experiences

Employee benefits free up people to focus on more value-added work

Finance benefits help Finance to be more efficient and more effective as a function
Typical Use Cases… not limited to Finance function

Customer management in CRM

Customer credit & background checks

Customer communication

Automatic account closures

Facilities management

Letting & mortgage applications

Supplier management

Lease management

Planning applications

HR: on-boarding, off-boarding & payroll

Real estate listing automation

Legal support

Database management

Contract administration

Data cleansing

Portfolio management

Interrogation of public databases

Customer invoicing

Accounts payable process

Rent accounting

Sales Analytics

Utilities management

How to Get Started

1. Assess the opportunity

Identify and quantify the opportunity for RPA.

2. Prove the concept

Prove the business value.
Test compatibility with the current environment.

3. Deploy the pilots

Build out the capabilities.
Move the first proof of concepts into production.

4. Scale in production

Scale the use of RPA across Finance.
Monitor benefits realisation.

5. Enterprise integration

Incorporate robotics into the core DNA of your organisation.

6. Extend service offerings

Explore additional automation technologies for example Cognitive and AI.

Your Typical RPA Journey

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