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Better. Smarter. Faster. The rise of AI in payments acceptance

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Ready to harness the power of AI for your business?



The current rapid development of Artificial Intelligence (AI) is generating a lot of noise around the subject. But while experts vie for attention, predicting how AI is going to definitively change this or that industry, Visa has been quietly deploying its capabilities in payments for more than 30 years.


And having helped shape AI so far, Visa is still one of the leaders in its development and exploring the possibilities it offers.


Read on to see how our decades of experience using AI in payments acceptance can help speed the growth and shape the future of your business.


More to AI than meets the eye

Visa has been part of the evolution of AI in payments over the years, combining technical expertise with our high-quality data, to constantly hone and refine models.


Decision Manager, a Cybersource product and part of the Visa Acceptance Solutions family, uses billions of data points and AI for faster, more accurate, automated risk assessment, fraud detection and fraud prevention, to deliver a smoother customer experience.


But let’s rewind a bit and go over the fundamentals.


AI is a machine’s ability to ‘think’ by mimicking human intelligence. It’s a broad (and arguably now overused) term that encompasses several processes and systems, including:


Machine learning: where machines ‘learn’ how to make predictions or recommendations by processing and detecting patterns in vast quantities of data.


Deep learning: a type of machine learning that uses neural networks—computational models inspired by the way the human brain works—to solve complex problems.


Predictive AI: relies on machine learning algorithms to identify trends, links and patterns in datasets, then forecasts outcomes based on these findings. Purpose built for one application, its outputs are always one of a pre-defined set of possibilities.


Generative AI: it learns from vast amounts of data and content, then uses this knowledge to generate original content in response to human prompts. It can be used for many different applications and has no constraints on its outputs.


The three pillars of AI: Data. Expertise. Accountability.

In order to be useful AI needs to be fuelled by the following:


A reliable source of high-quality data—the more data and the higher the quality of it, the more accurate the results. Visa Acceptance Solutions gathers insights from more than 141 billion VisaNet transactions1, to power its AI solutions.


Human expertise—machine learning scientists to monitor, adjust and update the models, and Risk Consultants to understand how best to deploy it within a particular context. Together they can tailor solutions like Decision Manager to suit your exact business needs.


Accountability and responsibility—AI is governed by a set of rules that ensures it is being used ethically. Consumer trust in AI must be earned, and Visa has done so over the decades with a governance model that handles all data in a responsible, secure, compliant, and reliable manner.


"The responsible use of AI is part of our fabric as a company and what our world-class reputation is built on. Trust is at the core of everything we do, and maintaining that trust is a responsibility we don’t take lightly."

– Rajat Taneja, President of Technology, Visa


With human expertise at the helm and rich, relevant data as its lifeblood, AI becomes a formidable presence in payments acceptance.


Artificial Intelligence in the real world

What exactly is the function of AI in acceptance? How has it replaced past methods and what does the future hold? Some of the answers seem perfectly obvious given how AI enables the near perfect symbiosis of automation and big data.


AI helps detect and prevent fraud by:

  • Analyzing huge amounts of data and identifying patterns quickly and efficiently.

  • Using machine learning algorithms to learn from previous fraud cases.

  • Monitoring in real time, and flagging transactions for review before processing.

  • Applying predictive modelling to identify and prevent transactions likely to be fraudulent.

  • Reducing the need for manual reviews, saving time and cost.

Continuing with big data, AI can also help with risk assessment by:

  • Evaluating the risk associated with transactions and customers based on previous behavior, location, and other data, more accurately and faster than humans can.

  • Chargeback Prediction, which analyzes historical data to predict potential chargebacks, enabling businesses to proactively address disputes and reduce losses due to chargebacks.

But here is where it gets a bit more surprising and certainly more interesting. The more data it analyzes, gleaning valuable insights into customer behavior and preferences, the more AI becomes a powerful tool.


AI can improve customers’ payment experience by helping businesses to:

  • Provide more personalized payment experiences to their customers based on their transaction history, time of day, location and much more.

  • Create more personalized and relevant marketing offers, improving loyalty.

For instance, Sephora uses AI-based facial recognition so customers can virtually ‘try on’ makeup products at home.2 This has boosted the acceptance of online shopping for products that historically people would have preferred to test instore.


In essence, as well as detecting and preventing fraud, AI can also help businesses better serve their customers immediately and over time. Just think about that: big data and automation helping to deliver a more satisfactory human experience.


Hit the ground running using AI for payments acceptance

So given the crucial role AI is now clearly playing in acceptance, and its constant and rapid evolution, what’s the next step for a business wishing to embrace it?

Businesses should certainly consider choosing solutions that bring together the best of current technologies, with the ability to stay ahead of the changes and challenges that are yet to come.


They should also think about the importance of a partner who is recognized not just for their achievements in AI technologies – but also for their intrinsic understanding of the context of payments.


Visa Acceptance Solutions: Your gateway to harnessing AI for payments

As well as the experience of deploying AI in payments over the last 30 years, what sets Visa apart is the combination of tools and methods used together.


Such as Decision Manager and Service Orchestration. A complex and fully customizable solution that harnesses:

  • Predictive Analytics, which analyzes historical payment data to predict customer behavior, optimize inventory management, and anticipate demand, aiding in strategic decision-making for businesses.

  • Behavioral Analytics, which analyzes customer behavior during the payment process to identify potential issues or areas of improvement in the payment flow, leading to a smoother and more intuitive payment experience.

  • Payment and Risk Consultants, combining AI, machine learning and human intelligence. These expert consultants inject real-world context into the data, like set parameters for specific businesses or adjustments for unexpected events (like the recent pandemic), optimizing the AI’s output.

Decades of analysis and constant refinement within the framework of the world’s leading payments network, means we can help your business embrace AI in payments acceptance as not just a tool, but an ally. One that grows with your business, that gets to know and understand your customers, and can help you serve their and your business’s needs better over time.




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