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payabl. Launches Click To Pay With Visa To Help Merchants Improve Checkout Conversion And Reduce Fraud

payabl. has launched Click to Pay with Visa, a new card payment experience designed to help merchants reduce checkout friction, improve authorisation rates, and deliver a faster, more secure online payment journey.

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Click to Pay replaces manual card number entry with a token-based checkout experience. Once a customer’s card is enrolled, they can complete purchases in just a few clicks, without re-entering card details. The result is a faster checkout that mirrors the ease of contactless payments in-store, while maintaining strong security standards.

For merchants, the impact is measurable. According to Visa, Click to Pay can deliver up to a 11% uplift in authorisation rates compared to manual card entry, alongside significant fraud reduction through network tokenisation. Faster checkout also helps reduce cart abandonment, particularly on mobile, where typing card details remains a major source of friction.

“With online checkout, every extra step costs conversion,” said Breno Oliveira, Chief Product Officer at payabl. “Visa Click to Pay removes one of the biggest points of friction at the moment of purchase. It helps merchants approve more legitimate transactions, reduce fraud exposure, and give customers the experience they already expect.” 

Visa Click to Pay is available through payabl. checkout, enabling merchants to activate the service without additional integration complexity. The solution works across devices and supports existing security flows, including 3D Secure where required.

“Consumers have come to expect a highly personalised, intuitive, and seamless payment experience, whether they’re buying a coffee, shopping online, or applying for a loan. Visa Click to Pay aims to meet these expectations by removing the need to manually enter card details, thus enhancing both security and the consumer experience in online card payments. With the support of network tokens, Visa Click to Pay enabled a more secure and smoother transaction process, available in many countries around the world. According to European VisaNet data, Visa Click to Pay may allow a 4.5% uplift in merchant sales, meaning a possible annual increase of €51 bn in SMB eCommerce sales in the UK and EU,” said Michael Ioannides, Country Manager, Visa Cyprus.

The launch forms part of payabl.’s broader focus on checkout optimisation, helping merchants improve conversion, approvals, and payment reliability at scale. Click to Pay with Visa is now live for eligible merchants across Europe. 

Checkout expectations are rising across Europe 

Insights from payabl.’s State of European Checkouts report underline why frictionless checkout experiences are becoming a commercial priority. The research found that consumers cite speed (46%), convenience (44%), and security (41%) as the top reasons for choosing a payment method. More than half of consumers (53%) are open to switching to newer payment methods and nearly half (48%) are open to one-click checkouts, provided the solution is backed by a trusted brand such as Visa.

“Checkout is no longer just the final step of a transaction,” said Oliveira. “It is a critical part of the overall customer experience. Our research shows that 43% of European consumers will not return to a site after a poor checkout experience. For merchants across the UK and Europe, that translates directly into lost customers and lost revenue.”

The launch forms part of payabl.’s broader focus on checkout optimisation, helping merchants improve conversion, approvals, and payment reliability at scale. Click to Pay with Visa is now live for eligible merchants across Europe.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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