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HOW CHATBOTS ENSURE PREMIUM SERVICE IN INSURANCE

Insurance providers, such as AA Ireland, are transforming customer engagement and increasing sales conversion rates using chatbots and conversational AI, explains Cathal McGloin, CEO of ServisBOT (www.servisbot.com):

 

Introduction:

Writing in Insurance TimesOliwia Berdak, principal analyst at Forrester, commented that, among all the technologies that insurers are exploring, “pragmatic AI has the biggest potential to deliver on insurers’ top business priorities in 2019, improving customer experience and generating revenue.”

 

Rules of engagement:

Within the sphere of ‘pragmatic AI’, conversational AI interfaces, such as chatbots, offer a whole new engagement model where customers can obtain a quote, file a claim, renew a policy, request information, and complete onboarding more conveniently and at a lower cost to the insurance provider.

Insurance companies can no longer expect people to engage nine-to-five. Consumers want to interact on their time and using their preferred channels, which may include voice assistants such as Amazon Alexa, or Google Home, messaging apps, SMS, web or mobile apps, as well as the more traditional email, live chat, and phone channels.

 

Cathal McGloin

Premium service:

While price will always be an important factor when purchasing an insurance policy, the customer experience is key. Is the policy information easy to find, or is it hidden in the small print? How responsive is the insurance provider when customers make a claim? The more positive interactions they can provide, the more likely the insurer is to increase loyalty and retention.

Virtual assistants or chatbots that integrate securely with relevant business systems and third-party data, can provide more contextual and personalised engagement that enhances the customer experience. Deploying these task-oriented chatbots drives business results such as higher retention rates through renewals, increased conversation rates on policy quotes, and increased revenue through more effective onboarding.

Besides an insurance company making services more accessible and automated, chatbots also make it easier for insurers to understand the exact intent, or need, of the customer. Chatbots can work across different functions more seamlessly so that, for example, a Policy bot can work alongside a Quote bot to better inform customers on the difference between policies and which one best suits the customer’s circumstances. This leads to greater transparency and personalisation, positively impacting conversion and sales.

 

A friend in need

Since chatbots work 24/7, services are always available when a customer needs them.

A customer reporting an accident and filing a claim on the spot provides a perfect example of the benefits of having a chatbot constantly available to engage at the point of need and in the customer’s preferred channel. The customer may choose to interact via the insurance provider’s mobile app, SMS, or a messaging app, on their mobile device, while they’re stood on the roadside awaiting recovery of their vehicle. A claims bot can request image uploads of a driver’s license, registration plates, and photos of damage, on the spot, helping to shrink the claims filing and processing timeframe. This also reduces a lot of the friction that customers normally have to deal with in filing a claim.

ServisBOT works on the principle of deploying and co-ordinating an army of insurance bots that can do everything from generating a quote, on-boarding a new customer, renewing a policy, collecting payments, and many other use cases: bringing convenience and lower costs, while improving the customer experience.

 

Case study: Using Bots to Win Business

To combat rising digital advertising costs and reduce the incidence of missed webchats, AA Ireland investigated how to employ chatbots to improve conversion rates on incoming quotation requests that came in out of hours, or when call centre employees were busy on calls.

AA Ireland used our conversational AI platform to develop its own Quote Bot, within seven weeks the bot was trained and ready to use. Within twelve weeks AA Ireland Quote Bot had increased conversion rates on online quotes by 11 percent and reduced the number of missed webchats by 81 percent. Additionally, where customers had interacted with the Quote Bot to answer their initial queries online, they spent 40 percent less time on the phone with customer service employees.

AA Ireland reports that the Quote Bot is reaching people who haven’t previously contacted the insurer. Working in combination with the Quote Bot allows customer service specialists to focus on answering more complex queries and overcoming objections to win customers’ business.

AA Ireland Customer Lifecycle Manager, Louise McCormack comments, “Increasing conversion even by one to two percent helps to make the business more profitable. The potential to use AI-powered chatbots to improve our conversion rates, while providing operational efficiencies across customer service, was an opportunity we couldn’t ignore.”

Following the success of Quote Bot, AA Ireland has deployed a customer service bot and a travel quote assistance bot, with plans for additional bots.

 

 

Conclusion:

Lloyds of London has drawn up its six-part transformation blueprint, with five of the areas involving building out a technology platform. The goal is to double the value of insurance business done, to increase the efficiency of processing policies and reduce the cost of sale of premiums which is currently 40p in every £1.

AI in all its forms is becoming integral to business systems, processes, and engagement models. For our part, we are making it easier for insurance providers to implement and launch conversational AI without needing a data scientist or solutions architect. We take away technical complexity so that insurance providers can focus on how they can apply AI to help them engage with customers more efficiently.

In 2020 as more pragmatic AI success stories emerge, we foresee other insurance companies moving beyond tactical deployments and adopting a chatbot strategy that is cross-functional across the whole business and customer life-cycle. This strategic approach will allow them to benefit from the genuine transformation that chatbots can bring.

 

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Top 10

TIME TO THINK OUTSIDE OF THE BLACK BOX

Mike Brockman, CEO, ThingCo

 

If you have the unbridled joy of parenting a teenager you’ll probably know what telematics insurance is.  In very simple terms, telematics or ‘black box’ insurance enables insurance companies to track driving behaviour using technology fitted to the car or via a smartphone app.  It is the first practical example of IoT – machine to machine communication of real-time data.

Telematics has been crucial to helping thousands of young people get experience on the road who would otherwise have found the cost of insurance too high.  When you look at the number of road casualties in the UK over the last nine years there is a clear correlation between the rising adoption of telematics and a fall in young driver casualties[i].  The problem is that as soon as they can, young drivers chuck in telematics and take traditional insurance.  As such telematics insurance has got stuck firmly in a rut.

So why is that a problem?

First, telematics saves lives – think what it could do if more drivers had it.

Secondly motor insurance costs are linked to claims costs – if we can bring down the cost of claims through the engagement, speed of response in accidents and anti-fraud benefits of using telematics data to its full potential, everyone could access cheaper insurance.

Mike Brockman

Thirdly we are living in a world deeply impacted by COVID-19.  Travel trends were already altering prior to the pandemic but have changed and could remain significantly changed for the foreseeable future.  Consumers are beginning to think more deeply now about their motor insurance and value for money.  This may create demand for motor insurance cover that is more responsive to people’s individual driving behaviours – why pay an annual premium when you only use the car once or twice a week?  On the flipside, those nervous of using public transport could see an increase in their car use.  Telematics allows insurance providers to offer insurance based on actual rather than predicted use.

The fundamental reason for telematics getting stuck in a rut is insurance companies are not offering something consumers actually want and they are not deriving value from their investment in the technology.  Different telematics devices give different qualities of data and that data determines the economic equation they have to resolve in terms of how much they pay for the technology and what value they get from it.

Another key factor is that if you give something away – as the insurance industry has done with telematics ‘black boxes’ – you are sending a strong signal to the customer that the technology is of no value to them and only there to serve the insurer’s need.

You need to make the device a desirable piece of technology that consumers would value in their own right – rather than something that is imposed on them to get cheaper insurance.   By introducing new technologies into these devices such as Voice, camera, ADAS, black spot warnings, it becomes a truly connected device that not only helps the driver but also creates incredible amounts of data that’s useful to the insurer to manage risk and provide better customer services.

With next generation telematics, the data is no longer a one way street direct into the insurer.   You can feed that data back to the customer and develop additional services such as a voice alert when they have been driving for too long without a break, an incentive of a coffee at the next rest-stop.

Telematics also transforms the claims process for the customer and the insurance provider. A crash alert can kick in and activate a voice command in the device and that will ask the driver if they had an accident, whether they need help and will alert emergency services if necessary.

This is where the data brings huge value to the insurance provider providing a whole range of detail – like a liability assessment, video footage, fault, g-force etc.  This data is dynamite to First Notification of Loss team with an insurance provider.

But the biggest difference next generation telematics offers is it really strengthens the relationship with customers and insurers can make it fun as well.  Insurance and fun aren’t usually two words you see in the same sentence but unlike traditional insurance, or old school telematics, it allows engagement and the opportunity to provide incentives without any big brother feeling about it.

Technology has changed massively over the last ten years, the quality of devices has developed and the Cloud has opened the potential for telematics products to be designed for customers in the most attractive way.   Barriers around trust and big brother can be broken down by being absolutely clear that the data belongs to the driver – they can choose how it is used to their benefit, spelling out the advantages, being transparent and flexible.

COVID-19 is providing an opportunity to stand back and think about telematics differently – how to make it customer friendly and how to make the economics work.  By leveraging next generation telematics technology the insurance market has a window of opportunity to turn the motor insurance grudge purchase into something consumers really start to value.

 

[i] https://blogs.lexisnexis.com/insurance-insights/2019/04/the-road-to-safer-driving-infographic-how-telematics-can-be-directly-linked-to-reducing-casualties/

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Banking

BRANCHES ARE THE HUMAN FACE OF YOUR BANK?

Sudeepto Mukherjee, Senior Vice President, Financial Services Lead EMEA & APAC Publicis Sapient

 

Branches have always played a pivotal role in a bank’s ability to acquire and service customers. Historical surveys have consistently pointed to the fact that proximity to branches is one of the key reasons that determine who consumers choose to bank with. Even with the increased adoption of mobile banking in the past decade, research from data specialists CACI had found that surprisingly, the decline of branch visitors has been modest, equating to less than 2% per year, with digital channels supplementing the customer experience rather than replacing it.

The COVID pandemic has changed all of that. It has suddenly forced consumers away from branches into call centres and web/mobile channels to meet their banking needs. So the big question is what role should branches play as we recover from this pandemic? Will branch centric business models like that of Metro Bank still thrive or will the digital only banking offerings like those from Starling and similar win out?

Banks will always have 2 different faces to consumers. The first face is one that is human and relationship based. This is the part of the bank that consumers rely on to get advice on how to manage their life savings. The face that they call upon when they are in financial distress and need help overcoming that. The face that helps them make product choices on what credit type would best suit their circumstance. The second face is that of the bank as an efficient machine that uses the best available technology, data and AI to meet transactional needs quickly. This is the face that consumers rely on to make payments in real time and conveniently. The machine that provides the ability to quickly respond to queries around account balances and transaction history. The machine that alerts consumers when certain actions are performed on their accounts. Customers expect both these faces from their bank. However, the financial crisis and the PPI scandals saw banks loose the trust and credibility of customers as they were seen to be driven more by internal profits rather than consumer needs. The human face of the bank was no longer visible to most consumers and the machine failed to live up to the expectations set by the Big Tech giants like Apple and Amazon that seamlessly provided services via their digital platforms.

The Bank Branch can play a pivotal role going forward in re-establishing this human side by helping a bank build trust and become the primary advisor for our financial needs. Instead of just meeting transactional needs like check deposits and account openings, banks can now transition branches into relationship centres where their employees are 100% focussed on financial advice and well-being of their customers. They are teachers and coaches, life-cheerleaders and financial partners – they are many in number.

Historically this model has been difficult to achieve because of the high cost of such personalised service at scale in branches. However, advancements in technology/AI coupled with the propensity of customers to use digital channels for transactional needs now make this imminently within reach .

 

This transition will require a fundamental shift in 3 big areas:

  • Creating a strong digital infrastructure to enable an omni-channel service: Banks will have to double down on their digital transformation efforts and build an infrastructure that can serve most transactional needs seamlessly via digital channels and call centres. The operational burden on both call centre and back office staff will have to be significantly reduced by automating as many processes as possible and providing the right tools and insight to help consumers efficiently.
  • Culture and Capability: This will also require a big shift in both capability and culture. Every function of a bank (like risk, finance, product control) will have to get more comfortable in leveraging technology to do a majority of the tasks currently done by humans while investments will be needed in new capabilities so front line staff can focus on building relationships at scale and provide good advice to consumers.
  • Bringing customers along on this journey: All this will work only if there is also a strong focus on educating customers on how best to interact with a bank and use branches only for the most complex needs while relying on other less expensive channels for day-to day banking services.

 

Making this transition will not be easy. Constrained finances and a higher compliance burden, have resulted in a large technology debt and complex operating models in most banks. Banks have to take a more ambitious approach to “jump” to this new model. Digital leaders like Amazon and Netflix have shown how a shift from physical stores to a more digital centric ecosystem can not only be more efficient but also create value for consumers.

Now is the time for banks to seize this opportunity to redefine the role of branches and re-establish them as essential advice centres for meeting their communities financial needs.

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