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AI and the New Age of Customer Advocacy – ReadWrite

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Puneet Mehta


A few weeks ago, I called my broadband provider about intermittent outages. The helpful customer support rep looked at my account and cheerfully told me that I could save money by switching to a different plan. A few minutes later, I had changed my plan to one that cost half as much and delivered comparable speeds. At first, I was happy. Then I was annoyed. Because I realized, in reality, no customer service team is proactively looking out for my well-being before I raise a problem. 

AI and the New Age of Customer Advocacy

AI and the new age of customer advocacy are when AI can treat every customer like royalty just as they expected. But, unfortunately, proactively advocating on behalf of customers until now has been expensive and not easy to scale due to the reliance on humans.

In addition, it was easier to triage problems because, frankly, in the short turn companies earned higher revenues from ignorant customers. Now the customers know everything, and they expect to be treated like royalty. Therefore, companies must change their core approach to customer experience and support. Modern artificial intelligence will drive that change. 

Customers already have AI-powered options with adversarial bill challenging solutions.

Arguing with your customers is bad business — let alone arguing with their external AI advocates.

Delighting customers by demonstrating you really put them first with proactive actions and personalized care is the best way to build long-term customer value. The only way to do this effectively and at scale is to leverage AI to make customer advocacy a core internal value and competency. In the past, businesses made the excuse that proactively communicating business policies with customers was not scalable. 

AI removes that fig leaf by making personalized customer advocacy economical, inevitable and desirable at zero marginal cost. This tectonic shift will open up many new business models and put many older business models in the graveyard. Here’s what this new reality might look like. 

AI Makes Cognitive Tasks Free — That Changes Everything.

The radical change that AI brings to business transactions is making a previously expensive resource – cognitive function – nearly free.

As outlined in the book “Prediction Machines” by three brilliant economists from the University of Toronto, the superpower of AI is making predictions free.

An AI today can do a fine job selecting clothing to suit your tastes, based on past purchases and anonymized purchases of others who share your likes and dislikes. In addition, there are a growing number of AI-driven personal shopping assistants such as “The Yes” and Beyond, which pairs stylists with customer opinions and applies AI to create ever-better recommendations.

Conversational AI powers retail chatbots that guide customers to more intelligent choices. In addition, the cost of serving one customer or 1 million customers is nearly identical, so the marginal cost of each new interaction is zero. 

When what was formerly expensive becomes free, this forces major economic disruptions and realigns market power in surprising ways.

Think of what happened when the smartphone absorbed the GPS, the camera and the radio — or when detailed maps and traffic data became freely available at zero cost with Google Maps. These shifts to free or near-free disrupted legacy businesses and created new opportunities, like ridesharing companies Uber and Lyft and crowdsource traffic mapping company Waze.

Smart AI Will Perform Sophisticated Advocacy

A smart AI today could easily book a flight based on your ranked preferences of stops, airport choice, distance from destination, price and time of departure or arrival.

Your AI travel agent knows.

In the very near future, an AI travel agent would know that you like to go to Hawaii and preferred Maui departing on Thursday and returning Sunday evening. Your AI travel agent would alert you when flights meet your financial criteria of dropping below $500 RT and pre-book a room at a hotel near your favorite beach. (If this sounds like your old human travel agent, that’s because it basically is.)

Your AI personal concierge

An AI could serve as a personal concierge, alerting you to concerts you might like in your area or to books due to be published that suit your tastes. 

Think about this:

Taking the scenario one step further, an AI might save you from a bad decision. For example, after checking past prices of flights to Hawaii and booking trends at nearby hotels, then negotiating with a hotel AI on a special room rate, the AI might say, “Wait, don’t book that flight. There is likely to be another flight sale this month, and your favorite hotel is booked for the weekend you are thinking about, so why not wait for the next sale? I already have a triple-upgrade to your favorite room.” 

Foundations of AI as Consumer Advocate and Partner are Already Taking Shape

In the case of my Internet provider, an AI can be tasked with periodically reviewing what you are paying, what you are consuming, and going out to seek the best offers, negotiating on your behalf.

Human-powered analogies of this are already taking shape. Trim, BillShark, and TrueBill all offer bill negotiation services for cable, phone, and many other types of bills that rely on a smarter data backend to assist human experts. These negotiation services are starting to build a repository of data for training AI systems.

The data will be not just on pricing but on how to negotiate. Trim, for example, also uses smart AI and crowdsourcing to proactively request a bill credit for when a subscriber’s Internet goes down, even if they don’t notice it or request a refund themselves.

Entrepreneurs are applying basic AI to allow people to tackle more complicated tasks quickly and easily.

Several startups can advocate for consumers by disputing parking tickets or filing small court claims across many states. These, however, are adversarial relationships that can do real damage to the relation.

Why Customer Advocacy AI is Inevitable 

Because the consumer’s AI will be talking to the merchant’s AI, then there is no need for standardized products or pricing.

In this era, we finally realize mass personalization of retail and consumer services, powered preferences illuminated through the smart use of AI. At the same time, this consumer advocate AI could supplant many of the more cumbersome, adversarial unpleasant interactions between customers and brands they use.

At the highest level, like my friendly cable company customer service rep, the AI will act internally as the advocate and voice of the customer at the individualized level.

By making customer-centricity truly programmatic and creating algorithms specifically for this task, companies will elevate customer advocacy from a second-tier program to one that informs business strategy. As a result, the business strategy will drive product development and design with constantly updated feedback based on real behaviors and interactions.

At the same time, the companies must optimize their products and support to allow customers to choose the external AI (should they so desire). Companies can empower that form of interaction via APIs and other ways of conversations between customer AI and internal support AI.

How to Survive and Thrive in the Era of AI Customer Advocacy

Envisioning a future where AI talks to AI allows our personal advocates to constantly scan the horizon to look out for our well-being. This type of AI customer advocacy will be negotiating on our behalf with superior knowledge and lead to some wholesale changes in business models and customer engagement mechanisms. 

The first part of the old world to go will be tedious, time-intensive and unpleasant tasks.

Some of the tasks we will not miss will be running through lengthy sign-up processes or haggling on prices or promotional plans. Next, we will offload cognitively intensive but narrowly focused tasks that are heavily dependent on past tastes or indicated preferences. These tasks include such things as shopping for clothes, planning a trip, or finding the best doctor or dentist in our area. This AI capability can either come as a service paid for by the customer or as one provided for the customer by the company. 

For businesses, dealing with this fully empowered consumer AI will be challenging.

For the first time, the consumer may have significantly better information than the business selling the service or product. Adding AI to this mix, as well, gives the consumer cognitive superpowers.

An AI can easily check across millions of travel permutations on any number of parameters. The AI travel helps will include flights, hotels, ticket availability for sporting events, special restaurant dinners, camping permits to national parks.

Your personal, desired conditions found and coordinated by AI

Your AI will be able to find the right mixture of desirable conditions that fits with stated or implicit preferences while fitting into work and family schedules. This has not been possible yet because the AIs were not advanced enough and could not readily talk to each other, let alone negotiate complex transactions.

All situations can change as the cost of AI drops further and the capabilities improve — just as our smartphones consumed multiple industry categories, including cameras, recorders, radios, newspapers and GPS systems. 

Tremendous business advantages wait in AI for those who dare to dream

Just as Amazon and Netflix saw over the horizon to futures that were not yet real, businesses that can imagine a world where their inventory systems, CRM, and pricing systems can collaborate with customers’ AI will enjoy a tremendous advantage.

Monetize your future with AI

How to monetize that future remains unclear, but we can make some educated guesses based on the directions we see AI systems heading in retail, travel and media.

Delivering customer-centric goods and services that are truly personalized will command a premium. This is already true today in the bespoke world. In the future, it will be true for every consumer that has an AI on their side.  

Image Credit: kampus production; pexels; thank you!

Puneet Mehta

Puneet Mehta is Founder / CEO of Netomi, a YC-backed customer experience AI platform that automatically resolves customer service issues at the highest rate in the industry. He spent much of his career as a tech entrepreneur as well as on Wall Street building trading AI. He has been recognized as a member of Advertising Age’s Creativity 50 list, and Business Insider’s Silicon Alley 100 and 35 Up-And-Coming Entrepreneurs You Need To Meet.

Politics

Fintech Kennek raises $12.5M seed round to digitize lending

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Google eyed for $2 billion Anthropic deal after major Amazon play


London-based fintech startup Kennek has raised $12.5 million in seed funding to expand its lending operating system.

According to an Oct. 10 tech.eu report, the round was led by HV Capital and included participation from Dutch Founders Fund, AlbionVC, FFVC, Plug & Play Ventures, and Syndicate One. Kennek offers software-as-a-service tools to help non-bank lenders streamline their operations using open banking, open finance, and payments.

The platform aims to automate time-consuming manual tasks and consolidate fragmented data to simplify lending. Xavier De Pauw, founder of Kennek said:

“Until kennek, lenders had to devote countless hours to menial operational tasks and deal with jumbled and hard-coded data – which makes every other part of lending a headache. As former lenders ourselves, we lived and breathed these frustrations, and built kennek to make them a thing of the past.”

The company said the latest funding round was oversubscribed and closed quickly despite the challenging fundraising environment. The new capital will be used to expand Kennek’s engineering team and strengthen its market position in the UK while exploring expansion into other European markets. Barbod Namini, Partner at lead investor HV Capital, commented on the investment:

“Kennek has developed an ambitious and genuinely unique proposition which we think can be the foundation of the entire alternative lending space. […] It is a complicated market and a solution that brings together all information and stakeholders onto a single platform is highly compelling for both lenders & the ecosystem as a whole.”

The fintech lending space has grown rapidly in recent years, but many lenders still rely on legacy systems and manual processes that limit efficiency and scalability. Kennek aims to leverage open banking and data integration to provide lenders with a more streamlined, automated lending experience.

The seed funding will allow the London-based startup to continue developing its platform and expanding its team to meet demand from non-bank lenders looking to digitize operations. Kennek’s focus on the UK and Europe also comes amid rising adoption of open banking and open finance in the regions.

Featured Image Credit: Photo from Kennek.io; Thank you!

Radek Zielinski

Radek Zielinski is an experienced technology and financial journalist with a passion for cybersecurity and futurology.

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Politics

Fortune 500’s race for generative AI breakthroughs

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Deanna Ritchie


As excitement around generative AI grows, Fortune 500 companies, including Goldman Sachs, are carefully examining the possible applications of this technology. A recent survey of U.S. executives indicated that 60% believe generative AI will substantially impact their businesses in the long term. However, they anticipate a one to two-year timeframe before implementing their initial solutions. This optimism stems from the potential of generative AI to revolutionize various aspects of businesses, from enhancing customer experiences to optimizing internal processes. In the short term, companies will likely focus on pilot projects and experimentation, gradually integrating generative AI into their operations as they witness its positive influence on efficiency and profitability.

Goldman Sachs’ Cautious Approach to Implementing Generative AI

In a recent interview, Goldman Sachs CIO Marco Argenti revealed that the firm has not yet implemented any generative AI use cases. Instead, the company focuses on experimentation and setting high standards before adopting the technology. Argenti recognized the desire for outcomes in areas like developer and operational efficiency but emphasized ensuring precision before putting experimental AI use cases into production.

According to Argenti, striking the right balance between driving innovation and maintaining accuracy is crucial for successfully integrating generative AI within the firm. Goldman Sachs intends to continue exploring this emerging technology’s potential benefits and applications while diligently assessing risks to ensure it meets the company’s stringent quality standards.

One possible application for Goldman Sachs is in software development, where the company has observed a 20-40% productivity increase during its trials. The goal is for 1,000 developers to utilize generative AI tools by year’s end. However, Argenti emphasized that a well-defined expectation of return on investment is necessary before fully integrating generative AI into production.

To achieve this, the company plans to implement a systematic and strategic approach to adopting generative AI, ensuring that it complements and enhances the skills of its developers. Additionally, Goldman Sachs intends to evaluate the long-term impact of generative AI on their software development processes and the overall quality of the applications being developed.

Goldman Sachs’ approach to AI implementation goes beyond merely executing models. The firm has created a platform encompassing technical, legal, and compliance assessments to filter out improper content and keep track of all interactions. This comprehensive system ensures seamless integration of artificial intelligence in operations while adhering to regulatory standards and maintaining client confidentiality. Moreover, the platform continuously improves and adapts its algorithms, allowing Goldman Sachs to stay at the forefront of technology and offer its clients the most efficient and secure services.

Featured Image Credit: Photo by Google DeepMind; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

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Politics

UK seizes web3 opportunity simplifying crypto regulations

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Deanna Ritchie


As Web3 companies increasingly consider leaving the United States due to regulatory ambiguity, the United Kingdom must simplify its cryptocurrency regulations to attract these businesses. The conservative think tank Policy Exchange recently released a report detailing ten suggestions for improving Web3 regulation in the country. Among the recommendations are reducing liability for token holders in decentralized autonomous organizations (DAOs) and encouraging the Financial Conduct Authority (FCA) to adopt alternative Know Your Customer (KYC) methodologies, such as digital identities and blockchain analytics tools. These suggestions aim to position the UK as a hub for Web3 innovation and attract blockchain-based businesses looking for a more conducive regulatory environment.

Streamlining Cryptocurrency Regulations for Innovation

To make it easier for emerging Web3 companies to navigate existing legal frameworks and contribute to the UK’s digital economy growth, the government must streamline cryptocurrency regulations and adopt forward-looking approaches. By making the regulatory landscape clear and straightforward, the UK can create an environment that fosters innovation, growth, and competitiveness in the global fintech industry.

The Policy Exchange report also recommends not weakening self-hosted wallets or treating proof-of-stake (PoS) services as financial services. This approach aims to protect the fundamental principles of decentralization and user autonomy while strongly emphasizing security and regulatory compliance. By doing so, the UK can nurture an environment that encourages innovation and the continued growth of blockchain technology.

Despite recent strict measures by UK authorities, such as His Majesty’s Treasury and the FCA, toward the digital assets sector, the proposed changes in the Policy Exchange report strive to make the UK a more attractive location for Web3 enterprises. By adopting these suggestions, the UK can demonstrate its commitment to fostering innovation in the rapidly evolving blockchain and cryptocurrency industries while ensuring a robust and transparent regulatory environment.

The ongoing uncertainty surrounding cryptocurrency regulations in various countries has prompted Web3 companies to explore alternative jurisdictions with more precise legal frameworks. As the United States grapples with regulatory ambiguity, the United Kingdom can position itself as a hub for Web3 innovation by simplifying and streamlining its cryptocurrency regulations.

Featured Image Credit: Photo by Jonathan Borba; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

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