How to use CAPTCHA in a conversational interface?

In today's digital world, robust authentication mechanisms are an absolute necessity. With the increase in cybercrime, it is essential to protect personal and sensitive information. As stated in the last OWASP 2023 Top 10 Vulnerabilities report, authentication mechanisms are the first line of defence against unauthorized access to online accounts. Furthermore, the new ISO 27001:2022 certification standard dedicates specific controls and clauses to ensure secure authentication procedures.

A robust authentication mechanism is the key to unlocking a great number of self-services. For example, making financial operations, changing insurance policy details or consulting medical test results are operations that individuals can perform online if they pass a strong authentication screening.

However, there are situations where robust authentication mechanisms are not possible. This is the case of quote&buy journeys, where customers are not registered and identified apriori, but also when agents and advisers are about to request some actions on behalf of their clients.

In such cases, the list of self-serve services experiments a physiological reduction because some critical actions won’t be accessible to an unidentified user. Reducing the risk of robots and Denial of Services attacks is also important by using additional security measures like CAPTCHA codes and other techniques.

CAPTCHAs, in particular, are a popular security measure used to prevent automated attacks by requiring users to prove they are human and they nicely fit conversational interfaces. A handy-style text over a noisy background is generated and displayed to the user as an image. Automated Optical Character Recognition (OCR) detectors won’t be able to easily guess the keyword by reading the image.

The main three requirements for a good CAPTCHA code generator are:

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Why chatbots for surge and risk management?

3 min read

These are tough times. Individually and entrepreneurially.

Supply and demand are operating on a one-sided seesaw. While one is at its zenith, the other is struggling to go off the ground. During such times, a reinvention is needed to balance the scales and normalise operations as much as possible.

 

Times of surge

The term surge is used to denote a state of over-capacity. A clear example is within the hospital industry. In a situation of a surge, the hospital is required to implement a unique process to allow for decompression.

Nowadays, most customer interactions are handled online and institutions (including insurance companies) rely on call centres or help desks to handle surge times. When the appropriate technology hadn’t been invented, it seemed like the way to go. But now that advancements are made faster than we can keep up with them, there’s no reason to stick to limiting ways of customer service.

Call centres provide a good experience owning to the 1:1 conversations. However, the system fails to deliver when there is a surge and a 100 calls are happening per minute. In a global pandemic like Coronavirus when humans are in a state of lockdown and unable to be within 1-3 metres of each other, operating call centres and help desks is not a feasible strategy.

Looking at the very nature of insurance, especially during times like this, we expect a growing demand with more people wanting to cover themselves. It is already happening: new and old customers are currently calling up to check on the validity of old policies, request clarifications on policy restrictions or see if they can purchase new ones. Claims, particularly, go on the rise. The same situation is witnessed when snowstorms, floods, or any other natural/ economic disaster hits.

 

The limitations of traditional processes

Overall, traditional digital processes help but have their limits. The old technology involved isn’t able to cope with high usage. The recent lockdown has also forced people to work from home, which has increased the usage of internal traditional processes with less time and disrupted processes for serving end customers.

A couple of examples worth mentioning:

  • FAQs are cheap to develop but expensive to maintain. Additionally, they stop being effective for problem-solving after one point. The information needs to be constantly updated. The page gets too text-heavy after one point and so the amount of information that can be displayed in one go is saturated. People can’t find what they are looking for in one sweep.
  • Other options like web forms are non-personalised, one-size-fits-all solutions. They require the same input from all users but lack giving end-users the reassurance that the process was completed.

What qualifies as an appropriate medium then?

Conversations with intelligent chatbots. They provide immediate answers yet can solve complex problems on specific topics. 

 

Innovating for crisis and beyond

Conversations are still where the real customer service happens. The ‘strategy’ where a customer truly feels served. 

Conversations can guide the user to information instead of delegating this task to him (who hasn’t gotten impatient with an FAQ page where you can’t find what you need). In a chatbot conversation, the human touch can be added (even in the absence of a human) which would make the interaction more personal and helpful. This cannot be replicated in a web form.

But, in times of crises and lockdown, how do we scale conversations? Especially when they are barely to be had.

By using chatbots. 

Chatbots are the most cost-efficient way to provide the highest level of customer service. 

  • Accurate information can be conveyed on a personalised, case-by-case basis. 
  • 24*7 help is ensured.
  • No matter the extent of the surge, a chatbot can handle and process multiple queries at the same time.

 

Conclusion

Ultimately the truth of the matter is: whenever a surge happens, a business needs to understand its impact on processes including customer service and come up with robust capabilities to deal with it. Static FAQ pages and web-forms are limited in their robustness and don’t have a significant impact on reducing/ managing calls. Chatbots fill these gaps while providing additional benefits.

Spixii has its own range of intelligent chatbots for insurance processes. They are consistent in the information they share with the users and add a personal touch on top. Thus, they provide good user experience and good quality user feedback. When supported by a solid optimisation framework, this solution will help to absorb the surge, reduce pressure on call centres, and eventually lead to the continual improvement of service.

You can find out more about them here and start the conversation here.

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