May 20, 2021

Io-Tahoe remediates insurance data challenges with DataRPA

Io-Tahoe
RPA
Insurance
Data
4 min
Ajay Vohora, CEO of Io-Tahoe, explains how the insurance industry’s digital transformation is making DataRPA essential for handling enterprise data

At a time when insurance is beginning to reshape itself as primarily a tech-led industry, it has never been more crucial that companies move beyond traditional operating methods that no longer produce optimal customer outcomes.

Automation is the key ingredient to a thoroughly modern customer experience; those who neglect this could soon find themselves at a significant competitive disadvantage. Ajay Vohora, CEO of data automation specialist Io-Tahoe, explains how one particular aspect – Data Robotic Process Automation (DataRPA) - can make a transformative difference for insurers.

Founded in 2017 and headquartered in New York, Io-Tahoe is an expert at data empowerment through its cutting-edge platform, which renders information as ‘smart data’ ready for digital applications across the insurance sector including:

  • Agent Recommendation Support: to support customer engagement, needs and next best action.
  • Claims Estimation: using third-party data to automatically price the cost of loss, replacement or repair.
  • Augmented Underwriting: improving the underwriting process with expert human involvement.
  • Contract Analysis: to assess large contracts (e.g., commercial P&C contracts or reinsurance contracts) to identify coverage details or clauses for use in customer servicing or claims.
  • FNOL Automation: where claims data is collected, and the claims process is initiated.
  • Low-Touch Claims Processing: to automate steps throughout the end-to-end claims process.
  • Personalization Usage-Based Pricing: pricing models based upon consumer behavior to enable individual risk pricing (e.g., pay based upon how you drive or how you live).

“Legacy systems are made up of processes that have been designed around IT systems and outdated business processing rather than serving the needs of today’s insurance customers,” Vohora says. Indeed, previous approaches could never incorporate the richness and volume of data currently available to businesses. The capability to move away from ‘one size fits all’ solutions is a hallmark of digital transformation’s potential. 

Io-Tahoe’s DataRPA, he continues, links together several components to create a holistic solution centred on data management. These subsequently produce faster insights, more accurate forecasting, and more reliable data. Features include:

  • Data discovery: “This breaks down silos by exploring the individual pieces of information, discovering the relevant data, and then building connections while also applying some human meaning to them – with the ability to search for knowledge.”
  • Data classification: “We then organise the data and automatically map it in transparent business terminology to clarify what might otherwise be quite esoteric IT systems or database information.”
  • Data lineage detection: “This is joining the dots and understanding the provenance of data so data consumers can identify and trust the origins of data.”
  • Data duplication: “DataRPA is able to identify specific data about a person (address, name, policies taken out, etc) and reconcile that it belongs to one individual instead of many, which is invaluable for data quality assessments.”
  • Data enrichment: “This factors in complementary data that could help personalise insurance products and services for customers’ circumstances. 

 

Fundamentally, all of these things are prohibitively time and labour intensive when performed manually. More to the point, to do so ignores the fact that automation can actually facilitate a closer relationship with customers than was previously possible. “Insurance can now be far more interactive using conversation chatbots, for example. The current aspiration should be towards autonomous underwriting,” states Vohora.

Insurance customers gain a more personalised and intuitive service, while insurers themselves can save costs and the months of time it would have previously taken to remediate data issues. When he considers advice for insurers just beginning to implement DataRPA, Vohora provides two pieces of advice:

“First, select use cases for applications where you’ll see results within days or weeks. Seeing is believing and that will help build organisational confidence. 

“Second, align development to an operational benefit such as contract analysis or customer outcomes. Similar to the first point, these things tend to be visible, tangible, and measurable. It’s important to show a turnaround in days or weeks, not months and years.”

Ultimately, DataRPA is not a tool for replacing human workers. Instead, he emphasises, it is augmenting workers’ productivity and refocusing them away from the less valuable aspects of their role that are near impossible to perform successfully by using traditional manual methods. As insurance customers become used to a personalised and fully digital insurance experience, Io-Tahoe is helping companies remediate the data challenges that create an impediment to this new vision.

“Being able to bring all of that data together in a single pane of glass for end-users will be a huge win for insurance organisations in the post-COVID climate,” Vohora concludes.

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Jun 11, 2021

SLK Software: Optimising performance in the digital economy

SLKSoftware
AI
Automation
CNAInsurance
2 min
Recently featured in our profile of CNA Insurance, we take a closer look at how SLK Software is powering disruption in the digital era

Established in 2000 in Bengaluru, India, SLK Software recognises that fast-paced digital transformation is creating an unprecedentedly fertile period of opportunity for global businesses.

As such, with a firm belief in the power of simplification and automation to yield new and exciting experiences, the company has been challenging the status quo for over 20 years through an approach that is:

  • Relationship oriented
  • Strategically focused on a desired outcome
  • Reliant on automation tech

Believing in purposeful automation

SLK’s specialisation in automation tech is full spectrum: artificial intelligence (AI) and machine learning (ML), Computer Vision, Natural Language Processing (NLP), Robotic Process Automation (RPA), and more, are all part of its core competencies. 

Citing 90% productivity improvements, 30% business growth through better customer experiences, and up to 20x faster go-to-market capabilities, the reasons for its focus are clear.

The company currently serves the banking, financial services, insurance, retirement services, M&A, manufacturing, and supply chain sectors. Solutions offered include:

Accelerating workflow processes

In addition to these services, SLK offers three products/platforms: Avo Assist - RPA, Avo Assure - Test Automation, and Avo Discover - Process Discovery.

 

 

The latter is a tool specifically calibrated to enable business users an easy method for capturing document processes. This can occur across any application, with these individual tasks then seamlessly combined for both improved compliance and governance. 

Carol Castelloni, VP of Transformation at CNA Insurance, highlighted this as providing critical support in helping the company meet its business objectives:

“SLK’s Avo Discover tool accelerates how we can document workflow processes, measure impacts on enhancements, and identifies future automation opportunities.” Liberated from having to focus on these process-driven aspects of business, CNA Insurance has been able to refocus its attention on creative problem-solving instead.

Ultimately, this is the most important benefit that SLK brings: it optimises the back end so that clients can channel their energy towards what matters the most, customers.

Read more about SLK Software and CNA Insurance in the June 2021 edition of FinTech Magazine.

Pictured: SLK Software team (source)

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