Smart underwriting: How tech is changing the insurance sector

With AI-powered tools, insurers can evaluate claims more quickly, reduce fraud, and automate processes like document verification.

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We are no longer on the brink of the Fourth Industrial Revolution; we are living it. This digital era, driven by advancements in artificial intelligence (AI), big data, automation, and connectivity, is transforming how industries operate globally.

While banking and retail have already undergone dramatic shifts, the insurance sector is only beginning to harness the full potential of digital transformation. In Kenya, the pace is accelerating. Over the next five years, technology will redefine how we underwrite, market, sell, and deliver insurance, reshaping customer expectations and operational models across the industry.

In recent years, Kenya’s general insurance industry has shown encouraging growth. Annual growth now sits at 11 percent, and returns on equity have risen from 7.5 percent to 11 percent. This is a marked improvement from the period before 2021, when growth was sluggish and profitability was low.

The rebound is driven by innovation, a rise in insurance awareness, and a more deliberate focus on customer-centric products and services, factors increasingly supported by digital technology. Though some companies have begun using AI to assist in claims settlement or sell retail policies through digital platforms, these developments remain relatively rudimentary.

The fundamental transformation is only just beginning.

The future of insurance will be shaped by how effectively companies leverage technology to improve their processes, reduce costs, and enhance customer experience.

Digitally enabled underwriting is one of the clearest examples of how AI and automation can revolutionise the industry.

Traditionally, underwriting has been manual, time-consuming, and prone to inconsistency. Now, AI systems can analyse massive datasets to assess risk accurately and issue policies almost instantly.

This increases speed and precision, cuts costs, and allows for more personalised policies based on lifestyle habits, health data, or driving behaviour. It also opens the door to dynamic pricing models that reward safer or healthier customers.

Similarly, digital innovation transforms claim processing, a critical moment of truth in the customer journey. With AI-powered tools, insurers can evaluate claims more quickly, reduce fraud, and automate processes like document verification.

Customers can file and track claims through mobile apps or websites, supported by 24/7 chatbots that answer queries and give real-time updates. These changes increase operational efficiency and strengthen trust between insurers and policyholders. A faster, more transparent claims experience improves customer satisfaction and loyalty.

This transformation extends to how personal insurance products are designed and sold. Insurers increasingly offer standalone retail products via digital channels such as mobile apps, USSD codes, and social media platforms.

These tools allow consumers, especially younger, digital-native demographics, to purchase and manage policies without visiting a physical office. The use of real-time data also allows for more personalised and relevant products. For example, telematics data from a vehicle can inform motor insurance premiums, while wearable health devices can help tailor medical cover.

Marketing, too, is evolving. Insurers can now run data-driven campaigns that target specific segments with relevant offers at the right time. This shift from mass marketing to precision marketing improves conversion rates and deepens engagement. It also enables insurers to build stronger relationships with their customers, based on insights into their needs and behaviours.

As the insurance distribution landscape evolves, we see a clear shift toward hybrid models integrating traditional agents and brokers with digital self-service platforms. Human intermediaries remain essential, particularly when building trust and explaining complex products to specific customer segments.

In addition to this digital transformation, alternative distribution models are gaining traction. These include Bancassurance, which leverages banks' extensive networks and customer relationships to offer insurance products and embedded insurance, and strategic partnerships with telcos, fintechs, and e-commerce platforms.

These innovations allow insurers to reach customers at their convenience and precisely at the point of need, creating a more seamless and responsive insurance experience.

Looking ahead to 2030, digital technology will no longer be optional; it will be the foundation of the industry. The companies that act boldly today, invest in smart digital solutions, and commit to placing the customer at the center of their innovation strategies will shape the future of insurance in Kenya.

Those who hesitate may find themselves left behind as the expectations of customers, regulators, and partners continue to evolve. The transformation is not coming; it is already underway. Now is the time to lead it.

Underlying all these innovations is the growing use of data to assess risk and predict it. AI systems can analyse structured and unstructured data, from internal systems to social media or satellite imagery, to detect patterns indicating fraud or emerging risks.

These insights allow insurers to price more accurately, prevent losses before they occur, and ultimately create more sustainable business models.

Of course, this digital transformation comes at a cost. It demands sustained investment in technology infrastructure, cybersecurity, and talent development.

However, the benefits are significant: lower operational costs, faster service delivery, more accurate risk assessment, better fraud detection, and improved customer experience. Insurers that embrace this transformation will become more efficient and more competitive in a rapidly changing marketplace.

The writer is the CEO, APA Insurance

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