Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(21)

Clean Tech(9)

Customer Journey(17)

Design(45)

Solar Industry(8)

User Experience(68)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(6)

Manufacturing(3)

Strategy(18)

Testing(9)

Android(48)

Backend(32)

Dev Ops(11)

Enterprise Solution(33)

Technology Modernization(9)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(39)

Insurtech(67)

Product Innovation(59)

Solutions(22)

E-health(12)

HealthTech(24)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(153)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(8)

Computer Vision(8)

Data Science(23)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(48)

Natural Language Processing(14)

expand Menu Filters

6 AI Applications that are transforming Insurance Now

With an insurance boom in the Asia-Pacific (APAC) region, Insurers are competing for developing superior technological capabilities in order to meet their customers’ demands better. Therefore, to stand out from the competition, companies are regularly adapting new tactics to ace the game, and AI is one of them.

According to a study, more than 80 per cent of insurance CEOs mentioned that AI was already a part of their business model or would be within the next three years.

AI has honed the way increasing data, computing capabilities, and evolving consumer expectations are handled and executed by making processes more automated and efficient. The role of AI has evolved over time to fulfil complex business requirements. In this blog, we will cover six significant areas in which AI is transforming insurance companies, but before proceeding, let’s take a look at how AI trends within Insurance.

Trends of AI in Insurance (50-100 Words)

Google Trends, reveals a constant uptick in AI-powered insurance applications acquired by the insurers between 2015-2020.

Google Trends, reveals a constant uptick in AI-powered insurance applications acquired by the insurers between 2015-2020. 

However, the impact of COVID-19 in 2020 has slowed this pace down a little. This is because insurer spending on AI systems had taken a back seat to mitigate other more pressing challenges that required allocation of budgets to those priorities. But in the Post- COVID world, it is expected that AI and insurance have a long way to go together.

How AI is Transforming the Insurance Industry 

Artificial Intelligence has driven positive impacts on many different business models, and insurance is no exception. Also, it works much better with AI because insurers have a treasure-trove of data, which is the primary fuel to drive successful results with AI.

Among all changes AI brought, the six major ones are mentioned below:

  1. Claims acceleration

AI is applied to automate or accelerate the process of claim. Claims processing includes a lot of tasks like reviewing, investigating, making adjustments and remittance or denying. If solely done by humans, the following issues might occur:

  • Inconsistent processing and more probability of errors
  • Varying data formats and time-taking management 
  • Staff training and process updating sessions

These processes can be accelerated with new Artificial Intelligence capabilities, leading to claims being paid in hours or days rather than weeks. However, likely, this kind of automation for claims acceleration will only work in low impact claims. For complicated requests, AI, along with human interaction, will be able to achieve the goal.

  1. Price sophistication using GLM

Insurers widely use AI techniques like GLMs (Generalised Linear Models) for price optimisation in tar and life assurance fields. Pricing optimisation allows companies to understand their customers better and enable them to balance capacity with demand and drive better conversion rates. 

Moreover, adding non-traditional data like unstructured data and written reports can also augment price optimisation and make better decisions.

  1. Using IoT 

IoT (Internet of Things) is one of the most significant AI opportunities within the insurance industry. These devices are getting a lot of traction from the users and are beneficial for insurance companies to assess customer risk profiles. Several IoT smart home devices are being used to alert customers when there are issues within their home or commercial property, for example, leak/moisture sensors. Using them, along with AI, helps insurance companies to offer better services.

For example, predictive analytics models could be built using the datasets of customers using leak detection sensors to predict which customers might be vulnerable to a leak. This prediction will help companies to send out repairers to replace faulty pipes before they burst to lead to claims.

  1. Personalised Services and Recommendations

Personalised services help customers to match their needs and lifestyle. Artificial Intelligence creates personalised services using customers’ product ratings, demographic data, preferences, interaction, behaviour, attitude, lifestyle details, interests, and hobbies. This helps companies in selling the right product to customers and target the correct audience. An Accenture study suggests that 80% of insurance customers are looking for more personalised experiences, and AI helps companies do so. 

Moreover, with the recommendations based on the customer’s behaviour or past purchases, AI shapes the way things are recommended to the customers. For example, a customer looking for health insurance would be displayed with offers on health insurance. Also, this helps in sending meaningful marketing messages.

  1. Eliminating underwriting risks

Humans solely did the process of underwriting. Therefore, the probability of getting errors was quite more and also it was a time-consuming process. But AI technologies have worked their way into this area of insurance and made the process quick and efficient without manual efforts.

  1. Affective computing (Emotional AI)

Also known as emotion AI, Affective computing is used to understand customers better and make decisions according to their mental/emotional states. It identifies, processes, and simulates human feelings and emotions and behaves and replies based on the same. This technology is shaping the Insurance industry in the following ways:

  • Fraud detection: Voice analytics is used to understand if a customer is lying while submitting a claim. AI makes this analysis based on various previous data sets and customer behaviours.
  • Intelligent call management: Customers running short on time or are angry are directed to more experienced call agents to ensure their satisfaction. 

New Adaptations

This ever-changing digital era is continuously adopting new technology. Therefore, another critical element to understanding the industry transformation is comparatively learning about the existing techniques and the new ones. 

The chart mentioned below contains some generic high-level use cases that many Insurance organisations are adopting. The abbreviations used are:

  • ML: Machine Learning
  • NLP: Natural Language Processing
  • SVM: Support Vector Machines
The chart contains some generic high-level use cases that many Insurance organisations are adopting.

Conclusion

So far, the blog must have helped you know how AI is transforming the Insurance industry in various ways. You can adapt to these modifications in your business model to stay ahead in the competition. However, it is worth mentioning that AI to an Insurance company could be beyond standard use cases and be viewed as a way to augment the role of data assets. There’s a lot to gain from the AI-first world for insurers, and also a lot to lose if AI is not embraced and well understood.

Cancel

Knowledge thats worth delivered in your inbox

How Smarter Sales Apps Are Reinventing the Frontlines of Insurance Distribution

The insurance industry thrives on relationships—but it can only scale through efficiency, precision, and timely distribution. While much of the digital transformation buzz has focused on customer-facing portals, the real transformation is happening in the field, where modern sales apps are quietly driving a smarter, faster, and more empowered agent network.

Let’s explore how mobile-first sales enablement platforms are reshaping insurance sales across prospecting, onboarding, servicing, renewals, and growth.

The Insurance Agent Needs More Than a CRM

Today’s insurance agent is not just a policy seller—they’re also a financial advisor, data gatherer, service representative, and the face of the brand. Yet many still rely on paper forms, disconnected tools, and manual processes.

That’s where intelligent sales apps come in—not just to digitize, but to optimize, personalize, and future-proof the entire agent journey.

Real-World Use Cases: What Smart Sales Apps Are Solving

Across the insurance value chain, sales agent apps have evolved into full-service platforms—streamlining operations, boosting conversions, and empowering agents in the field. These tools aren’t optional anymore, they’re critical to how modern insurers perform. Here’s how leading insurers are empowering their agents through technology:

1. Intelligent Prospecting & Lead Management

Sales apps now empower agents to:

  • Prioritize leads using filters like policy type, value, or geography
  • Schedule follow-ups with integrated agent calendars
  • Utilize locators to look for nearby branch offices or partner physicians
  • Register and service new leads directly from mobile devices

Agents spend significantly less time navigating through disjointed systems or chasing down information. With quick access to prioritized leads, appointment scheduling, and location tools—all in one app—they can focus more on meaningful customer interactions and closing sales, rather than administrative overhead.

2. Seamless Policy Servicing, Renewals & Claims 

Sales apps centralize post-sale activities such as:

  • Tracking policy status, premium due date, and claims progress
  • Sending renewal reminders, greetings, and policy alerts in real-time
  • Accessing digital sales journeys and pre-filled forms.
  • Policy comparison, calculating premiums, and submitting documents digitally
  • Registering and monitoring customer complaints through the app itself

Customers receive a consistent and seamless experience across touchpoints—whether online, in-person, or via mobile. With digital forms, real-time policy updates, and instant access to servicing tools, agents can handle post-sale tasks like renewals and claims faster, without paperwork delays—leading to improved satisfaction and higher retention.

3. Remote Sales using Assisted Tools

Using smart tools, agents can:

  • Securely co-browse documents with customers through proposals
  • Share product visualizations in real time
  • Complete eKYC and onboarding remotely.

Agents can conduct secure, interactive consultations from anywhere—sharing proposals, visual aids, and completing eKYC remotely. This not only expands their reach to customers in digital-first or geographically dispersed markets, but also builds greater trust through real-time engagement, clear communication, and a personalized advisory experience—all without needing a physical presence.

4. Real-Time Training, Performance & Compliance Monitoring

Modern insurance apps provide:

  • On-demand access to training material
  • Commission dashboards and incentive monitoring
  • Performance reporting with actionable insights

Field agents gain access to real-time performance insights, training modules, and incentive tracking—directly within the app. This empowers them to upskill on the go, stay motivated through transparent goal-setting, and make informed decisions that align with overall business KPIs. The result is a more agile, knowledgeable, and performance-driven sales force.

5. End-to-End Sales Execution—Even Offline

Advanced insurance apps support:

  • Full application submission, from prospect to payment
  • Offline functionality in low-connectivity zones
  • Real-time needs analysis, quote generation, and e-signatures
  • Multi-login access with secure OTP-based authentication

Even in low-connectivity or remote Tier 2 and 3 markets, agents can operate at full capacity—thanks to offline capabilities, secure authentication, and end-to-end sales execution tools. This ensures uninterrupted productivity, faster policy issuance, and adherence to compliance standards, regardless of location or network availability.

6. AI-Powered Personalization for Health-Linked Products

Some forward-thinking insurers are combining AI with health platforms to:

  • Import real-time health data from fitness trackers or health apps 
  • Offer hyper-personalized insurance suggestions based on lifestyle
  • Enable field agents to tailor recommendations with more context

By integrating real-time health data from fitness trackers and wellness apps, insurers can offer hyper-personalized, preventive insurance products tailored to individual lifestyles. This empowers agents to move beyond transactional selling—becoming trusted advisors who recommend coverage based on customers’ health habits, life stages, and future needs, ultimately deepening engagement and improving long-term retention.

The Mantra Labs Advantage: Turning Strategy into Scalable Execution

We help insurers go beyond surface-level digitization to build intelligent, mobile-first ecosystems that optimize agent efficiency and customer engagement—backed by real-world impact.

Seamless Sales Enablement for Travel Insurance

We partnered with a leading travel insurance provider to develop a high-performance agent workflow platform featuring:

  • Secure Logins: Instant credential-based access without sign-up friction
  • Real-Time Performance Dashboards: At-a-glance insights into daily/monthly targets, policy issuance, and collections
  • Frictionless Policy Issuance: Complete issuance post-payment and document verification
  • OCR Integration: Auto-filled customer details directly from passport scans, minimizing errors and speeding up onboarding

This mobile-first solution empowered agents to close policies faster with significantly reduced paperwork and data entry time—improving agent productivity by 2x and enabling sales at scale.

Engagement + Analytics Transformation for Health Insurance

For one of India’s leading health insurers, we helped implement a full-funnel engagement and analytics stack:

  • User Journey Intelligence: Replaced legacy systems to track granular app behavior—policy purchases, renewals, claims, discounts, and drop-offs. Enabled real-time behavioral segmentation and personalized push/email notifications.
  • Gamified Wellness with Fitness Tracking: Added gamified fitness engagement, with rewards based on step counts and interactive nutrition quizzes—driving repeat app visits and user loyalty.
  • Attribution Tracking: Trace the exact source of traffic—whether it’s a paid campaign, referral program, or organic source—adding a layer of precision to marketing ROI.
  • Analytics: Integrated analytics to identify user interest segments. This allowed for hyper-targeted email and in-app notifications that aligned perfectly with user intent, driving both relevance and response rates.

Whether you’re digitizing field sales, gamifying customer wellness, or fine-tuning your marketing engine, Mantra Labs brings the technology depth, insurance expertise, and user-first design to turn strategy into scalable execution.

If you’re ready to modernize your agent network – Get in touch with us to explore how we can build intelligent, mobile-first tools tailored to your distribution strategy. Just remember, the best sales apps aren’t just tools, they’re growth engines; and field sales success isn’t about more apps. It’s about the right workflows, in the right hands, at the right time.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot