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Why automate insurance agent onboarding?

Globally, over 90 percent of agents leave their organization to pursue opportunities outside the insurance industry. Thus making the agents onboarding process a continual recurrence for the insurance companies. 
Organizations, as well as agents, crave for easy onboarding instead of long trails of paperwork. Simplifying documentation and data entry right from the beginning can be a great win for organizations looking to improve operational efficiencies. And it is, in fact, possible to automate insurance agents onboarding processes.

Problems In Onboarding Insurance Agents

#Finding the Right Person

One of the major problems that insurance companies face is the agent’s intent towards making profits. There sure is the pressure of earning commissions forcing agents to sell policies that bring greater profits to them. 

Insurance companies indeed need to find agents aligned with organizations’ ethics and not driven by personal benefits.

#Operational Cost in Recruitment

When an organization issues a circular for hiring agents, thousands of applications flood in. The human effort in shortlisting candidates is time-consuming and can increase operational costs by 30%-60%.

Automating ‘Traditional Onboarding’ Processes

Organizations can introduce an “apply online” portal where prospective agents can upload documents directly required for employment qualifications. Post this, the shortlisting of candidates can be automated, which is otherwise done manually even today.

Process flow: Automate Insurance Agents Onboarding - Mantra Labs

#Check Authenticity of the Submitted Documents

Smart document scanners identify the authentication rules (holograms, unique id, etc.) and accordingly process it for the next steps.

#Sort and Cluster Documents

Document Classifiers can cluster documents based on their titles, IDs, and specific content within the document text, and structure the data in a relational/hierarchical repository.

This is equivalent to arranging agent documents in a paperless register with lightning-fast access for future references.

#Derive Target Data

The OCR Engines and Document Parsers can read and capture text from documents and store them in the required format.

A manual process will require reading the document, entering data in a register, and then calculating it. Sounds tedious (even if it’s on excel sheets), isn’t it?

#View Results According to the Selection Criteria

Dashboards allow viewing the output in a decision-ready format.

MaxBupa, a leading health insurer uses an automated solution to process inbound documents for qualifying insurance agents into their distributed-sales network. 

Organizations can use some or all of these tools depending on how much they want to automate insurance agents onboarding. Custom workflow automation tools are available for enterprizes, and tailor-made considering the sophistication of the insurance industry.

For customized insurance agent onboarding software solutions, feel free to contact us at hello@mantralabsglobal.com

webinar: AI for data-driven Insurers

Join our Webinar — AI for Data-driven Insurers: Challenges, Opportunities & the Way Forward hosted by our CEO, Parag Sharma as he addresses Insurance business leaders and decision-makers on April 14, 2020.

Agents (humans) are important too

The traditional model of agent-to-customer communication is not dead. 57% of Indian customers still prefer buying insurance policies through agents. Many a time, agents are the touchpoint between customer portal (technology) and the customer. 

From an organization’s perspective, automated systems also ensure effective data management, which gives their agent easy access to customer information and company policies and documents; bridging the knowledge gap.

By automating about 30% of resource-intensive manual processes, insurance companies can cut about 40% operational cost.

Why to Automate Insurance Agents Onboarding?

Removing the unnecessary layers of complexity and automating processes can help insurance companies interact with more potential agents and set stricter selection criteria.

Successful onboarding can help establish a strong relationship between agents and insurance companies. According to research from Brandon Hall Group, organizations with an efficient onboarding process can improve new-hire retention by 82%. Also, finding the right person for your organization can improve the agents as well as overall enterprises’ productivity by 70%.

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Why Netflix Broke Itself: Was It Success Rewritten Through Platform Engineering?

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Let’s take a trip back in time—2008. Netflix was nothing like the media juggernaut it is today. Back then, they were a DVD-rental-by-mail service trying to go digital. But here’s the kicker: they hit a major pitfall. The internet was booming, and people were binge-watching shows like never before, but Netflix’s infrastructure couldn’t handle the load. Their single, massive system—what techies call a “monolith”—was creaking under pressure. Slow load times and buffering wheels plagued the experience, a nightmare for any platform or app development company trying to scale

That’s when Netflix decided to do something wild—they broke their monolith into smaller pieces. It was microservices, the tech equivalent of turning one giant pizza into bite-sized slices. Instead of one colossal system doing everything from streaming to recommendations, each piece of Netflix’s architecture became a specialist—one service handled streaming, another handled recommendations, another managed user data, and so on.

But microservices alone weren’t enough. What if one slice of pizza burns? Would the rest of the meal be ruined? Netflix wasn’t about to let a burnt crust take down the whole operation. That’s when they introduced the Circuit Breaker Pattern—just like a home electrical circuit that prevents a total blackout when one fuse blows. Their famous Hystrix tool allowed services to fail without taking down the entire platform. 

Fast-forward to today: Netflix isn’t just serving you movie marathons, it’s a digital powerhouse, an icon in platform engineering; it’s deploying new code thousands of times per day without breaking a sweat. They handle 208 million subscribers streaming over 1 billion hours of content every week. Trends in Platform engineering transformed Netflix into an application dev platform with self-service capabilities, supporting app developers and fostering a culture of continuous deployment.

Did Netflix bring order to chaos?

Netflix didn’t just solve its own problem. They blazed the trail for a movement: platform engineering. Now, every company wants a piece of that action. What Netflix did was essentially build an internal platform that developers could innovate without dealing with infrastructure headaches, a dream scenario for any application developer or app development company seeking seamless workflows.

And it’s not just for the big players like Netflix anymore. Across industries, companies are using platform engineering to create Internal Developer Platforms (IDPs)—one-stop shops for mobile application developers to create, test, and deploy apps without waiting on traditional IT. According to Gartner, 80% of organizations will adopt platform engineering by 2025 because it makes everything faster and more efficient, a game-changer for any mobile app developer or development software firm.

All anybody has to do is to make sure the tools are actually connected and working together. To make the most of it. That’s where modern trends like self-service platforms and composable architectures come in. You build, you scale, you innovate.achieving what mobile app dev and web-based development needs And all without breaking a sweat.

Source: getport.io

Is Mantra Labs Redefining Platform Engineering?

We didn’t just learn from Netflix’s playbook; we’re writing our own chapters in platform engineering. One example of this? Our work with one of India’s leading private-sector general insurance companies.

Their existing DevOps system was like Netflix’s old monolith: complex, clunky, and slowing them down. Multiple teams, diverse workflows, and a lack of standardization were crippling their ability to innovate. Worse yet, they were stuck in a ticket-driven approach, which led to reactive fixes rather than proactive growth. Observability gaps meant they were often solving the wrong problems, without any real insight into what was happening under the hood.

That’s where Mantra Labs stepped in. Mantra Labs brought in the pillars of platform engineering:

Standardization: We unified their workflows, creating a single source of truth for teams across the board.

Customization:  Our tailored platform engineering approach addressed the unique demands of their various application development teams.

Traceability: With better observability tools, they could now track their workflows, giving them real-time insights into system health and potential bottlenecks—an essential feature for web and app development and agile software development.

We didn’t just slap a band-aid on the problem; we overhauled their entire infrastructure. By centralizing infrastructure management and removing the ticket-driven chaos, we gave them a self-service platform—where teams could deploy new code without waiting in line. The results? Faster workflows, better adoption of tools, and an infrastructure ready for future growth.

But we didn’t stop there. We solved the critical observability gaps—providing real-time data that helped the insurance giant avoid potential pitfalls before they happened. With our approach, they no longer had to “hope” that things would go right. They could see it happening in real-time which is a major advantage in cross-platform mobile application development and cloud-based web hosting.

The Future of Platform Engineering: What’s Next?

As we look forward, platform engineering will continue to drive innovation, enabling companies to build scalable, resilient systems that adapt to future challenges—whether it’s AI-driven automation or self-healing platforms.

If you’re ready to make the leap into platform engineering, Mantra Labs is here to guide you. Whether you’re aiming for smoother workflows, enhanced observability, or scalable infrastructure, we’ve got the tools and expertise to get you there.

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