Other parts of this series:
How insurers can release trapped value in their businesses and boost ROI with AI
In my previous post, I outlined a key problem facing insurers today: many are investing a significant amount in innovative technologies, yet are struggling to unlock their true potential and release trapped value in their business.
In this post, I’ll discuss how insurers can use advanced technology such as artificial intelligence (AI) and intelligent automation to reduce costs, enhance operations and improve efficiency to future-proof their organizations.
Driving new revenue opportunities with AI
In our research on “The New, New Normal: Exponential Growth”, 56 percent of executives agreed that AI deployment will drive new growth and revenue opportunities by accelerating new products and services. Fifty-eight percent said that AI-enabled revenue growth will come from increased customer satisfaction and engagement; while nearly 50 percent believe it will spur a change in their business models.
In the 2017 Technology Vision for Insurance survey, 76 percent of executives said AI would significantly or completely change the industry in the next three years, while 72 percent believed it would have a similar impact on their organization. However, fewer than half of the executives interviewed said their companies were implementing comprehensive AI programs across their enterprises.
What do those companies that are successfully deploying enterprise-wide AI programs have in common?
- 43 percent are using intelligent automation
- 45 percent have enhanced judgment
- 52 percent have enhanced customer interaction
- 46 percent use intelligent products
- 46 percent have enhanced trust
To really achieve AI-led growth, organizations need to:
- Move beyond automation for only efficiency and cost reduction to focus on true growth;
- Redefine the boundaries of the ecosystem within which you and your customers exist;
- Create rapid AI proofs of concept that yield real quantified business value, create the ability to scale these proofs of concepts and begin to establish a foundation of AI enablers;
- Emphasize AI governance.
Building long-term capability with AI
Accenture Strategy surveyed 1 100 executives across the globe to gauge AI adoption, the technology’s use in the enterprise and its role in driving value.
Financial services executives know that AI should be a critical piece of their competitive strategy. Two-thirds of our respondents identified it as a top strategic priority, and 85 percent said it will create new categories of products, business models and markets. But most companies are stalled in pilot phase or early stage AI adoption. The problem is that many organizations are implementing the technology in silos and discrete projects—an approach that won’t get them to unleash their true potential.
The organizations that are creating a momentum mindset and building long-term capability with AI are doing three things right:
- They understand that AI is more than just a tool or technology—and see it as a transformative capability that accelerates opportunity inside and outside the business.
- They experiment and learn, knowing that the more data companies feed AI, the smarter it gets.
- They turn obstacles into opportunities—and they take a continuous, iterative approach. They use challenges to fuel AI-driven insights.
Creating value in insurance with intelligent solutions
The following graph demonstrates how insurers in the US are creating value using intelligent solutions:
Source: Reimagining insurance processes with intelligent solutions
There are many use cases for intelligent solutions in insurance. Accenture has identified over 100 opportunities across the life and P&C value chains, including:
|Claims management||Intelligent solutions can automatically process claims data, spot potential fraud and analyze trends in fraudulent activity. An Accenture life and health client expects to cut its handling time for illness and disability claims from 100 days to 5 seconds by using a combination of optical character recognition, text analytics and machine learning.|
|Underwriting||These solutions can help extract information about key risk factors and automate identification of product trends linked to demand and profitability.|
|Sales||AI can alert agents to prospects who are ready to buy, helping to drive higher conversion rates.|
|Product and pricing||Intelligent data analysis can incorporate a wider range of risk factors to more accurately price risk.|
|The customer experience||Process automation is enabling whole new levels of personalization and convenience in customer service. Co-op insurance customers in the UK can receive an automated insurance estimate after answering four questions from a chatbot on Facebook Messenger.|
In my next post, I’ll explore the value of cloud and DevOps for insurers. Until then, get in touch with me here to find out more, or read the following research materials. I think you’ll find them useful: