Try : Insurtech, Application Development









Dev Ops(2)

Enterprise Solution(12)




Augmented Reality(7)

Customer Journey(6)


User Experience(19)

AI in Insurance(17)


Product Innovation(26)


Artificial Intelligence(76)



Cognitive Computing(6)

Computer Vision(5)

Data Science(11)


Intelligent Automation(19)

Machine Learning(41)

Natural Language Processing(5)

Building Digital Dexterity in Insurance

Nidhi Agrawal
6 minutes, 18 seconds read

The years 2018-19 are banner years for insurers. Economic growth and higher investment income played an important role in setting the stage for customer-centric development in the insurance sector. 

But, are insurers dexterous enough in deploying technologies to enhance customer experience & improve operations? 

According to Gartner – “Digital Dexterity is the ability and desire to exploit existing and emerging technologies for better business outcomes.” Here’s an outlook on building digital dexterity in insurance workplaces.

Why Insurers Need Digital Dexterity?

Accenture reports – 42% of the digitally active customers & 22% of the quality seeking customers are willing to use computer-generated advice for buying insurance. Reason – it’s fast and convenient. 

Surprisingly, less than 40% of insurers have a holistic digital transformation strategy, World InsurTech Report 2019 states. Furthermore, the gap between Insurer awareness of the need for ‘change’ and their digital maturity is significant.


Source: Capgemini Financial Services Analysis, 2019; WITR 2019 Executive Interviews, 2019.

The point is – the world is shifting towards the digital model. The sooner Insurers harness AI-based technologies to streamline their operations, the higher their chances of acquiring new-age tech-savvy customers.

How to Achieve Digital Dexterity in Insurance?

Betting on technology and expecting a serious outcome is not the solution, especially in the insurance industry which is highly customer-facing and experience-oriented. There needs to be a thorough strategy to eliminate resource wastage and increase back and front-office operational efficiency. 

For instance, Amazon uses its data capabilities for the benefit of consumers. By harnessing Machine Learning technology, the company provides personalized product recommendations to consumers. Through well-informed customer service interactions, Amazon contributes to employee satisfaction and productivity. 

Being dexterous can help Insurers achieve a mean & lean business model.

#1 Automation

The traditional process requires poring over lengthy documents, handwritten notes, and more to keep up with the ever-changing regulations. Also, most insurance customer-facing processes, such as policy renewal, go through several stages.

Eliminating dependencies and automating routine processes can help the insurers scale without adding staff. For example, AIA HongKong has reduced the average claims handling time by 40%.

Read our Case Study: How AIA HongKong saves 60% through Claims Automation.

Automation in insurance can solve some of the most pressing operational challenges like agent onboarding, claims settlements, underwriting, policy distribution, and document processing along with data entry and migration.

#2 Enterprise Mobility

With the growing number of smart devices in the workplace, determining how to integrate technology with work processes and business objectives can improve operations. Enterprise mobility involves several technologies like – 5G, blockchain, AI, cybersecurity, mobile device management, wearables, cloud, and IoT. 

According to Oxford Economics Maximizing Mobile Value Report, 80% of Executives believe — workers cannot work effectively without a mobile device

The ease of communication, resource accessibility, and affordability are the prime reasons for the wide-spread use of mobile devices. That’s why organizations are open to employees using their mobile phones for calling customers, accessing emails, file transfers, and much more. Executives agree that the real benefit of mobility lies in solving operational challenges.

Millennials spend at least two hours a day on their smartphones, with 78% of the time in apps. Reaching the customers where they are and in a way they prefer is indeed a great operational catch.

Also read – How AI can improve 5 front-office operations in insurance.

#3 Value Added Services (VAS)

Considering insurance as a commodity, customers cannot differentiate the products that are available at the same price and insurers who offer similar services. By definition, a value-added service can be any offering at little or no cost to promote the primary business. 

According to McKinsey, the estimated market for insurance VAS (especially in Europe & North America) is $2 billion. VAS holds enormous potential in the risk mitigation sector. Predictive analytics, knowledge sharing, risk training and reporting, self-insurance, and crisis advisory are some of the additional services that insurers can leverage utilizing data and analytics.

How Digital Dexterity Can Benefit Insurers?

While 90% of corporate leaders consider digitization as their top priority, 83% of them struggle to make meaningful progress on digital transformation, according to Gartner. Insurers can profit from digital dexterity in the following ways.

#1 Employee Productivity

With streamlined workflows and automating mundane tasks, insurers can improve their employee productivity to a great extent. McKinsey’s Building a Culture of Continuous Improvement in Insurance, states that “…Taking advantage of a new focus on problem-solving, the back office made a few changes to standard operating procedures that reduced the number of incomplete applications, speeding completion time by 45 percent for new customers..”


#2 Enterprise Agility

Agility in insurance corresponds to instantly accommodating the multifaceted demands of customers & responding rapidly to opportunities and disruption. According to Accenture’s Transformation GPS study, Agile firms are twice as likely to achieve top-quartile financial performance

The agile align the entire organization to a set of lightweight, shared processes because of which, it can adapt quickly to market changes.

Also, the Gen Z are par work-life balance mindset and count on deliverables more than logging time. That’s why organizations are leveraging SaaS and cloud technology to create an agile workspace. 

#3 Cognitive Capability

Data is a greater by-product of Insurance. Processing huge amounts of Big Data can be both times consuming and complex to manage at large scale. By leveraging distinct technologies like NLP, Machine Learning (ML), and Automated Reasoning — Insurers can process huge volumes of complex data, affix intelligent insights to structured data and communicate these insights clearly to all relevant stakeholders.

With the cognitive cloud, meaningful data insights are always present irrespective of device and location. For example, IBM Watson Explorer is an ML tool for cognitive insurance with deep-analytical advice, exploration, and mining capabilities. It is still learning and maturing interactions, rules, and processing logic that can apply to policies. Currently, employees can assess claims 25% faster with the help of Watson.

What the ‘Digital-Future’ Holds for Insurers?

At this age, digital technology is a strategic priority for every insurer. Accenture envisions DARQ power, understanding customers, human+ workflow, security, and on-demand experiences to rule the insurance market. 

  • DARQ power: combining the capabilities of Distributed Ledger, AI, Extended Reality, & Quantum Computing.
  • Understanding the next generation of customers and delivering individual products
  • Human+: each worker is empowered with his skills + tech-driven capabilities.
  • Security in terms of user data and privacy in the entire insurance ecosystem.
  • On-demand experiences: customization and real-time delivery can bring a lot of competitive advantages.

We’re a new-age InsurTech, providing AI and NLP based solutions to improve digital dexterity. Feel free to drop us a line at


Knowledge thats worth delivered in your inbox

Chatbots are the assistants of the future and they are taking the Internet by storm. Ever since their first appearance in 1994, the goal was to create an AI that could conduct a real dialogue with their interlocutors. The purpose is to free up customer service agents’ time so they could focus on more delicate tasks- which require a more human approach.

If you are thinking about including a chatbot on your website, here are the things you need to keep in mind to boost customer engagement and deliver high-quality services.

Define your audience

First things first- think about who will be interacting with the chatbot? Who are your customers? How do they talk? How can you address them in a way they’ll enjoy? How can you help them?

For instance, if your company sells clothes that are mostly designed for young adults, using a less formal tone will be much more appealing to them.

Lisa Wright, a customer service specialist at Trust My Paper advice: “Customer service calls are usually recorded, so listening to a few of them can be a good place to start designing your chatbot’s lines of dialogue.”

Give your bot some character

People don’t like to talk to plain, simple robots. Therefore, giving your chatbot some personality is a must. Some brands prefer naming their chatbots and even design an animated character for them. This makes the interaction more real.

For example, The SmarterChild chatbot- designed back in 2000, was able to speak to around 2,50,000 humans every day with funny, sad, and sarcastic emotions.

However, the chatbot’s character needs to match your brand identity and at the same time- appeal to customers. Think about – how would the bot speak, if they were real? Are there some phrases or words they would never use? Do they tell jokes? All these need to be well-thought through, before going into the chatbot writing and design phase.

According to a report published by Ubisend in 2017, 69% of customers use the chatbot to get an instant answer. Only 15% of them would interact for fun. Thus, don’t sacrifice the performance for personality. 

Also read – 5 Key Success Metrics for Chatbots

Revise your goals before chatbot writing

Alexa- Amazon bot has 30+ skills which include scheduling an appointment, booking a cab, reading news, playing music, controlling a smartphone, and more. However, every business bot doesn’t need to be a pro in every assisting job.

Before entering the writing phase, think over once again – WHY you need a chatbot? Will it help customer service only? Or will it also help in website navigation, purchase, return, refund, etc.?

Usually, customers want one of the three things when they visit your site: an answer to something they’re looking for, make a purchase, or a solution to their problem. You can custom build your chatbot to tackle either one or all of these three situations. Many brands use chatbots to create tailored products for their clients.  

Cover all possible scenarios

When you start writing the dialogue, consider the fact that a conversation can go in many directions. To ensure that all the situations are covered- start with a flowchart of all possible questions and the answers you chatbot can give.

To further simplify your chatbot writing, take care of one scenario at a time and focus on keeping the conversation short and simple. If the customer is too specific or is not satisfied with the bot’s response, do not hesitate to redirect them to your customer service representatives.

For instance, Xiaocle is one of the most successful interactive chatbots launched by Microsoft in July 2014. Within three months of its launch, Xiaocle accomplished over 0.5 billion conversations. In fact, speakers couldn’t understand that they’re talking to a bot for 10 minutes.

Also read – Why should businesses consider chatbots?

This article is contributed to Mantra Labs by Dorian Martin. Dorian is an established blogger and content writer for business, career, education, marketing, academics, and more.


Knowledge thats worth delivered in your inbox

The antiquated commodity of Financial ‘Coverage & Protection’ is getting a new make-over.  Conventional epigrams like ‘Insurance is sold and not bought’ are becoming passé. Customers are now more open than ever before to buying insurance as opposed to being sold by an agent.  The industry itself is witnessing an accelerated digitalization momentum on the backs of 4G, Augmented Reality, and Artificial Intelligence-based technologies like Machine Learning & NLP.

As new technologies and consumer habits keep evolving, so are insurance business models. The reality for many insurance carriers is that they still don’t understand their customers with great accuracy and detail, which is where intermediaries like agents and distributors still hold incredible market power.

On the other hand, distribution channels are turning hybrid, which is forcing carriers to be proficient in their entire channel mix. Customer expectations for 2020 will begin to reflect more simplicity and transparency in their mobility & speed of service delivery.

A recently published Gartner Hype Cycle highlights 29 new and emerging technologies that are bound for greater business impact, that will ultimately dissolve into the fabric of Insurance.

For 2020 and beyond, newer technologies are emerging along with older but more progressively maturing ones creating a wider stream of opportunities for businesses.


Irrespective of the technology application adopted by insurers — real, actionable insights is the name of the game. Without it, there can be no long term gains. Forrester research explains “Those that are truly insights-driven businesses will steal $1.2 trillion per annum from their less-informed peers by 2020”.

Based on the major trends identified in the Hype Cycle, 5 of the most near-term disruptive technologies and their use cases, are profiled below.

  1. Emotion AI
    Emotion Artificial Intelligence (AI) is purported to detect insurance fraud based on the audio analysis of the caller. This means that an AI system can decisively measure, understand, simulate and react to human emotions in a natural way.

    F0r Insurers, sentiment and tone analysis captured from chatbots fitted with emotional intelligence can reveal deeper insights into the buying propensity of an individual while also understanding the reasons influencing that decision.


Autonomous cars can also sensors, cameras or mics that relay information over the cloud that can be translated into insights concerning the emotional state of the driver, the driving experience of the other passengers, and even the safety level within the vehicle.

Gartner estimates that at least 10% of personal devices will have emotion AI capabilities, either on-device or via the cloud by 2022. Devices with emotion AI capacity is currently around 1%.

  1. Augmented Intelligence
    Augmented Intelligence is all about process intelligence. Widely touted as the ‘future of decision-making’, this technology involves a blend of data, analytics and AI working in parallel with human judgement. If Scripting is rules based automation, then ‘Augmenting’ is engagement and decision oriented.

    This manifests today for most insurance carriers as an automated back-office task, but over the next few years, this technology will be found in almost all internal and customer facing operations. Insurers can potentially offer personalised services based on the client’s individual capacity and exposure to risk — creating opportunities for cross/up-selling.

Source: Gartner Data Analytics Trends for 2019

For instance, Online Identity Verification is an example of a real-time application that not only enhances human’s decision making ability, but also requires human intervention in only highly critical cases. The Global value from Augmented AI Tools will touch $4 Trillion by 2022.

  1. AR Cloud
    The AR Cloud is simply put a real-time 3D map of an environment, overlayed onto the real World. Through this, experiences and information can be shared without being tied down to a specific location. Placing virtual content using real world coordinates with associated meta-data can be instantly shared and accessed from any device.

    For insurers, there is a wide range of opportunities to entice shopping customers on an AR-Cloud based platform by presenting personalized insurance products relevant to the items they are considering buying.

    The AR ecosystem will be a great way to explain insurance plans to customers, provide training and guidance for employees, assist in real-time damage estimation, improve the quality of ‘moment-of-truth’ engagements. This affords modern insurance products to co-exist seamlessly along the buying journey.

  2. Personification
    Personification is a technology that is wholly dependent on speech and interaction. Through this, people can anthropomorphize themselves and create avatars that can form complex relationships. The Virtual Reality-based concept will be the next way of communicating and forming new interactions.

    VR Applications such as  accident recreation, customer education and live risk assessment, can help insurers lower costs for its customers and personalise the experience.

    Brands have already begun working their way into this space, because as they see it — if younger generations are going to invariably use this technology for longer portions of their day for work, productivity, research, entertainment, even role-playing games, they will shop and buy this way too.

  3. Flying Autonomous Vehicles and Light Cargo Drones
    Although this technology is only a decade away from being commercially realized, the non-flying form is about to make its greatest impact since its original conception. Regulations are the biggest obstacle to the technology taking off, while its functionality continues to improve.

    The Transportation & Logistics ecosystem is on the brink of a complete shift, which will create a demand for a wide array of insurance related products and services that covers autonomous vehicles and cargo delivery using light drones.

While automation continues to bridge the gaps, InsurTechs and Insurance Carriers will need to embrace ahead of the curve and adopt newer strategies to drive sustainable growth.

Mantra Labs is an InsurTech100 company solving complex front & back-office processes for the Digital Insurer. To know more about our products & solutions, drop us a line at


Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top

May i help you?

Our Website is
Best Experienced on
Chrome & Safari

safari icon