Although buzzwords like Artificial Intelligence, Machine Learning, Deep Learning are loud enough. Many of us still believe AI synonym to Robots. As stated by ZDNet – In one of the surveys conducted by Hubspot of more than 1,400 people from Ireland, Germany, Mexico, Colombia, UK, and the US, they found that many respondents did not know that they were already using AI.

However, of the respondents who said they had not used AI, 63 percent were using it. They just were not aware that they were.

Image Source ZDNet

And if you also thought that you are not using an Artificial Intelligence tool, lets sail through your daily activities to help you in figuring out AI tools that are now a necessity.

Google Maps/ Google Search/ Google Photos/ Google Translate

Yes, all of these default apps on your smartphone uses artificial intelligence and machine learning. As you start typing into the search field, the box responds with some of the search terms as suggestions. The suggestions shown are derived from looking for similar words you types, what is trending or your location.
Google photos, on the other hand, scan and identifies similar images and group them/animates based on date/occasion or people. It again uses artificial intelligence and is driven by robust algorithm to locate/group similar stuff.

With individuals sailing on foreign land, Google translate is another handy tool that was built using Artificial intelligence technology. Algorithms/programs used to read and analyze millions of existing translated documents and built specific vocabulary for a particular language. While a user types in a word in his preferred language, the programs look for the most suitable match and provides a translation in the desired language.

Email Filters

Ever wondered how an email lands into the spam folder when a user hasn’t manually selected it? Or why some emails are under promotions? It is again the magic woven by machine learning. The spam filter analyses the sender’s address tracks the network address maintain a list to be referred later,and as an email hits the recipients server, it scans against its data center and labels it appropriately.

Fraud Prevention

I remember when I was making a transaction through my credit card and twice entered incorrect CVV number. Within minutes I got a call from my bank asking if I am the one making a purchase or is it someone misusing the card. In fact, another incident when I was at my native place and logged into my bank account from a new IP, I was alerted via an email and an SMS – there is a new login from an unknown IP.
All of these fraud prevention techniques are possible because of Artificial intelligence as a monitoring tool.

Social Media

Social Media viz Facebook, Instagram, Twitter, Snapchat, Pinterest that are a lifeline to many uses Artificial Intelligence extensively. Facebook or FB uses AI to present you a personalized newsfeed,and even alters the post that you see on your page.
Instagram recently used AI to replace slang with emojis; just for e.g., if you type rofl it would suggest you emojis or hashtags and make emojis more meaningful.

AI is everywhere and expanding its reach on a daily basis. Although all of this is running in the background, we would love to see self-driving cars and kitchen appliances communicating to Siri, Cortana or Alexa. Possibilities are limitless.

NPS in Insurance Claims: What Insurance Leaders Are Doing Differently

By : Divyanjali Gupta

Published on Jul 24, 2025

Customer Experience CX Insurance NPI In Insurance

Claims are the moment of truth. Are you turning them into moments of loyalty?

In insurance, your app interface might win you downloads. Your pricing might drive conversions.
But it’s the claims experience that decides whether a customer stays—or leaves for good.

According to a survey by NPS Prism, promoters are 2.3 times more likely to renew their insurance policies than passives or detractors—highlighting the strong link between customer advocacy and retention.

NPS in insurance industry is a strong predictor of customer retention. Many insurers are now prioritizing NPS to improve their claims experience.

So, what are today’s high-NPS insurers doing differently? Spoiler: it’s not just about faster payouts.

We’ve worked with claims teams that had best-in-class automation—but still had low NPS. Why? Because the process felt like a black box.
Customers didn’t know where their claim stood. They weren’t sure what to do next. And when money was at stake, silence created anxiety and dissatisfaction.

Great customer experience (CX) in claims isn’t just about speed—it’s about giving customers a sense of control through clear communication and clarity.

The Traditional Claims Journey

Forms → Uploads → Phone calls → Waiting
No real-time updates
No guidance after claim initiation
Paper documents and email ping-pong

The result? Frustrated customers and overwhelmed call centers.

The CX Gap: It’s Not Just Speed—It’s Transparency

Customers don’t always expect instant decisions. What they want:

To know what’s happening with their claim
To understand what’s expected of them
To feel heard and supported during the process

How NPS Leaders Are Winning Loyalty with CX-Driven Claims and High NPS

1. Real-Time Status Updates

Transparency to the customer via mobile app, email, or WhatsApp—keeping them in the loop with clear milestones.

2. Proactive Nudges

Auto-reminders, such as “upload your medical bill” or “submit police report,” help close matters much faster and avoid back-and-forth.

3. AI-Powered Document Uploads

Single-click scans with OCR + AI pull data instantly—no typing, no errors.

4. In-the-Moment Feedback Loops

Simple post-resolution surveys collect sentiment and alert on issues in real time.

For e.g., Lemonade uses emotional AI to detect customer sentiment during the claims process, enabling empathetic responses that boost satisfaction and trust.

Smart Nudges from Real-Time Journey Tracking

For a leading insurance firm, we mapped the entire in-app user journey—from buying or renewing a policy to initiating a claim or checking discounts. This helped identify exactly where users dropped off. Based on real-time activity, we triggered personalized notifications and offers—driving better engagement and claim completion rates.

Tech Enablement

Claims Orchestration Layer: Incorporates legacy systems, third-party tools, and front-end apps for a unified experience.

AI & ML Models: For document validation, fraud detection, and claim routing, sentiment analysis is used. Businesses utilizing emotional AI report a 25% increase in customer satisfaction and a 30% decrease in complaints, resulting in more personalized and empathetic interactions.

Self-Service Portals: Customers can check their status, update documents, and track payouts—all without making a phone call.

Business Impact

What do insurers gain from investing in CX?

A faster claim is good. But a fair, clear, and human one wins loyalty.

And companies that consistently track and act on CX metrics are better positioned to retain customers and build long-term loyalty.

At Mantra Labs, we help insurers build end-to-end, tech-enabled claims journeys that delight customers and drive operational efficiency.
From intelligent document processing to AI-led nudges, we design for empathy at scale.

Want a faster and more transparent claims experience?

Let’s design it together.
Talk to our insurance transformation team today.

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