In order to combat the effect and achieve profitability in an ever changing business environment influenced by low interest rates, cut-throat competition, market overcapacity and mounting regulatory regimes (such as ASC 606 in the US and IFRS in EU), financial organizations bank on automation. Robotic process automation (RPA) has been an effective cost cutting measure. While on a journey to embark on digital transformation, organization encounter tumbling blocks such as legacy infrastructure and lack of automation with about 20% of data stored in an organization is structured stored in spreadsheets, CSV files or databases; while 80% is either semi structured or unstructured comprising of invoices, purchase orders, contracts, mortgage apps, emails, instant messaging, voice, images or videos. These have resulted in budding of cognitive automation.

Cognitive Automation (CA) – What is it?

The evolution of RPA occurred in four folds. Cognitive Automation falls under RPA 4.0 wave with greater technology advancements and high business impact and is rarely prevalent in the market. Cognitive RPA (Robotic Process Automation) is a knowledge based rather rule based automation method that leverages Artificial Intelligence (AI) technologies , fuzzy logic, machine learning (ML), and text analytics to bring in human like behavior (judgment and prioritization) in decision making that can work well to process data that are non-standardized, semi-structured and unstructured. Through cognitive automation, firms can radically bringing in change in their straight through processing aided by bots and applications without human involvement.

Cognitive Automation – Why is it used?

Cognitive automation has a few compelling benefits due to which it is sought after. They include:

1. Fast realization on RPA investment which could result in headcount savings from 10-25%.

2. Faster implementation which could be 3-4 weeks for proof of value and 3-4 months for deployment.

3. Higher accuracy and reliability where RPA error rate could be zero.

4. Improved customer experience because employees can focus on value addition on their roles, thereby resulting in enhanced customer experience.

Embracing Disruption - How Does CA Transform the Financial Services Value Chain and Marketing Activities?

RPA along with AI/ML, Application programming interface (API), Blockchain and data analytics help organizations implement cognitive automation in financial services sector.

In the banking value chain, CA finds its application in core processes such as marketing and sales contributing to customer profiling, potential customer identification, customer demand management and precision marketing; AI credit rating, automatic data review under risk management and review processes; and automatic report generation, voice and image recognition and customer service robots under Customer management and services processes.

While in the insurance value chain, CA finds its application predominantly in front end marketing under cross/up selling, churn prediction; user behavior evaluation & property status testing, underwriting automation, client request transfer, smart customer satisfaction recognition, remote claim investigation, fraud detection and claims forecasting under underwriting, policy management and claims processes; in addition to portfolio management and reinsurance advice under back-end asset management.

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