Imagine running a global e-commerce business serving customers across North America, Europe, South Asia, and even the Middle East. Orders flow around the clock, payments come through various gateways, customers use different currencies, fraud risk is high, and customer expectations are different. This means your team may end up spending hours reconciling transactions, tracking failed payments, monitoring chargebacks, understanding customer demands, or solving payment issues. And if your business isn’t well prepared, a situation like this may result in operational problems as well as poor customer service.
The good news is that agentic payments make things much easier for businesses. This technology uses artificial intelligence and automation to handle transactions with minimal human input. Rather than just processing payments after instructions, AI agents can check transaction details, choose the best payment routes, spot unusual activity, and approve actions. These smart systems follow set rules to help organisations process payments more efficiently.
Keep reading to find out why agentic payments matter for your business, what industry research says about autonomous commerce, and how AI-powered payment agents can improve transactions. You’ll also see how organisations can take advantage of the growing agentic commerce market.
A study by Fluent Commerce found that 70% of retailers have already piloted or partially implemented agentic AI systems, while 71% expect efficiency improvements from their AI initiatives. Additionally, 88% of retailers recognise AI as strategically important for ensuring competitiveness.
Another report from Grand View Research projects that the agentic commerce market is expected to grow from around $6 bn in 2025 to around $66 billion by 2033, making it one of the fastest-growing segments in digital commerce. The report identifies the rapid adoption of AI agents as the key drivers of this growth.
And that's not all. Research by Accenture dubbed “Talk to My Agent” points to a future in which AI agents will shape purchasing decisions. The tools can guide buyers and help them make recommendations and decisions. A report by PwC also shows that most businesses are willing to incorporate AI agents in most of their functions.
These reports show that as AI-powered payment optimisation becomes more common, businesses that still use manual processes may fall behind. By getting ready now, you’ll be in a better position to find new opportunities.
Agentic payment systems monitor transaction activity and can observe patterns, allowing them to respond according to defined business rules.
For example, an AI agent may:
● Detect unusual activity
● Analyse customer spending habits
● Detect payment friction
● Flag suspicious account behaviour
● Escalate transactions for review
The strategy helps reduce payment problems while guaranteeing stronger security controls.
Not all payment providers perform well across all jurisdictions, currencies, and customer segments. Agentic payment systems can analyse:
● Historical approval rates
● Payment provider performance
● Geographic factors
● Transaction costs
● Currency requirements
The AI agent then picks the payment route that is most likely to work. This matters for companies working in different countries, where payment preferences and approval rates can change from one market to another. For example, Antom works with over 300 payment providers in more than 100 currencies. Even if payment systems are complex, their smart routing can help increase approval rates and improve customer experiences.
Many online purchases fail because customers encounter unnecessary friction during checkout.
According to research from the Baymard Institute, the average documented online shopping cart abandonment rate is nearly 70%, with complicated checkout steps among the leading reasons customers abandon purchases. This demonstrates the importance of developing seamless payment experiences that encourage customers to complete their purchases.
Agentic payment systems can optimise checkout experiences by:
● Presenting preferred payment methods
● Automatically displaying local currencies
● Avoiding redundant forms
● Adapting payment options based on customer choices
● Personalising payment experiences in real time
For example, if a customer in Singapore prefers a digital wallet and a customer in Germany prefers bank transfers, an agentic payment system can automatically show those options first. This cuts out extra steps, makes checkout feel more familiar, and increases the chances of a successful purchase.
Fraud prevention often creates a difficult balancing act. Strict controls may block legitimate customers, while less strict controls increase risk exposure. Agentic systems evaluate transaction context, allowing them to make better decisions than traditional systems.
For instance, these systems can assess customer history, device information, purchase behaviour, geographic signals, and transaction habits. This enables businesses to reduce false declines whilst ensuring strong fraud protection.
In fact, a recent study found that organisations that implement AI-driven fraud prevention systems reduced fraud losses while improving the speed and accuracy of fraud investigations. AI systems are able to spot suspicious behaviour patterns much faster than manual reviews, helping businesses to stop fraudulent transactions before they cause significant loss.
The best part is that, in contrast to traditional fraud prevention tools that depend heavily on static rules, agentic systems learn from new fraud patterns. As cybercriminals develop new tactics, AI agents are able to adapt their detection models accordingly, helping businesses maintain stronger protection over time.
One of the biggest advantages of agentic AI is its ability to learn from previous outcomes. Businesses do not have to manually retrain the system whenever payment or client preferences change.
For example, if customers in a particular region frequently abandon checkout after encountering a specific payment method, the agentic system can recognise the pattern and begin prioritising alternative payment options with higher completion rates. Similarly, if a certain payment route produces higher authorisation rates, the system can favour that route when similar transactions occur in the future.
To make these choices, the system looks at approved transactions, failed payments, customer behaviour, fraud cases, and checkout results. This information helps the system make better decisions in the future.
However, the system shouldn’t run without any human oversight. Your finance teams can set rules and keep an eye on performance to make sure AI decisions fit your business goals and follow regulations.
An AI agent can figure out which payment method is most likely to work for each customer, which helps reduce failed transactions and lost sales. It can also show local payment options and currencies, making customers feel more at ease when buying from an international business.
Agentic systems can also identify purchasing patterns that may signal upselling or cross-selling opportunities. If a customer regularly purchases certain products together, the system can present personalised offers during checkout. Similarly, recurring customers may receive faster checkout experiences to encourage repeat purchases.
While agentic payments make managing transactions easier and improve customer experiences, setting them up isn’t always simple. Businesses can’t just turn on an AI agent and expect payment performance to improve right away.
First, businesses need to look at their current payment methods and see if they can support AI-powered automation. This might mean connecting payment gateways, updating data systems, improving cybersecurity, and following local and international rules. Good transaction data is also important because AI systems need accurate information to make smart decisions.
Employees also need training to work with these smart systems. Teams in finance, compliance, operations, and customer service should know how agentic payments work, how to track performance, and when to step in. If these areas aren’t addressed, problems can arise, such as:
● Poor-quality data causing inaccurate AI decisions
● Integration issues with legacy payment systems
● Employee resistance to new tech and workflows
● Excessive dependence on automation without sufficient human control.
● Difficulty measuring performance and return on investment
● Security vulnerabilities due to inadequate system monitoring
That said, businesses can improve the success of agentic payment initiatives by implementing them in phases. Rather than deploying AI across all payment operations at once, organisations should begin with a pilot programme in a specific market or payment channel. This allows you to evaluate performance, identify potential integration challenges, and make adjustments before expanding adoption. Businesses should also monitor AI performance and payment outcomes regularly to confirm that the system is working within the set goals.
If you run an e-commerce business and want to expand into new markets, you’ll need a payment system that can handle different currencies, local payment preferences, fraud prevention, and changing customer habits. If you don’t adapt, your conversion rates may drop.
Agentic payments let organisations automate decisions, improve transaction performance, reduce payment issues, and grow global operations more easily. Your business can process payments faster, give customers a better experience, boost fraud protection, and find new revenue opportunities with smarter transaction management.
Whether you’re improving your current payment operations or starting from scratch, reach out to Antom to see how its agentic payment tools can help automate your processes and support your business growth.
Yes, provided they operate within the defined rules, approval thresholds, and security controls. These systems combine AI decision-making with fraud detection, authentication mechanisms, and audit trails to maintain security and compliance.
Organisations with high transaction volumes, international customers, complex payment operations, or growing ecommerce activities often see the greatest benefits. Businesses expanding into multiple markets may particularly benefit from intelligent payment automation and optimisation.
Implementation timelines vary depending on existing payment infrastructure, transaction volume, and integration requirements. Some organisations can deploy agentic payment capabilities within a few months, while larger enterprises may require phased rollouts across multiple regions and payment channels.