Forter launches five AI agents for commerce teams

Forter has launched five AI agents and opened early access to its Model Context Protocol, with the new products aimed at commerce teams handling fraud, payments, disputes and system integration.

The rollout expands Forter Prism, the company's agent-based product suite, with tools focused on analytics, chargeback disputes, abuse prevention, payment approval rates and integration work. The agents are designed for specific workflows that merchant teams often handle manually.

The Analytics Agent is intended to give users information on risk analysis, transactions, decision rationale, business performance and customer profiles. The Dispute Agent is aimed at automating chargeback disputes, while the Abuse Agent is designed to help merchants set policies around returns, promotions and loyalty misuse.

The Payments Agent focuses on payment performance and recommendations intended to lift authorisation rates. The Integration Agent is designed to connect Forter with existing systems through an AI coding assistant that can reduce deployment time.

Forter is also making early access available to its Model Context Protocol, or MCP. The system allows Forter's data to be used inside AI tools such as ChatGPT and Claude, so merchant teams can work with the information inside software they already use.

According to Forter, the protocol lets teams analyse performance trends, investigate transactions and produce executive summaries without switching between separate systems. The same corporate permissions and security controls apply when data is used through those AI tools.

The launch comes as merchants face pressure to make faster decisions at key points in the customer journey, including account sign-up, payment approval and post-purchase disputes. Fraud checks, payment issues and customer claims often require staff to gather information from several sources, slowing responses and affecting sales or customer experience.

Forter said its products are built on a network of more than two billion shoppers and nearly one million merchants. That data network has become central to how the company positions its fraud and commerce decision tools to retailers and online businesses.

AWS was among the outside companies quoted in support of the launch.

"The merchants winning right now are the ones who can move from signal to action faster than their competitors, and that gap only grows," said Vince Koh, Global Head, AWS Digital Commerce. "Forter's agents ground fraud and revenue decisions in a network of two billion shoppers, giving commerce teams that edge."

Forter has framed the launch as part of a wider shift in online commerce, where AI is changing how consumers discover products, interact with sellers and complete transactions. In turn, merchants must process more information in real time when deciding whether to approve orders, investigate activity or respond to disputes.

Workflow focus

The five agents map to functions that often sit across different teams. Analytics and payments tend to be handled by commercial and operations staff, disputes by finance or risk teams, and abuse prevention by fraud and customer experience teams. Integration work usually falls to technical teams responsible for connecting third-party software to internal systems.

By separating the tools in this way, Forter is targeting practical operational tasks rather than offering a single general-purpose assistant. The approach reflects a broader shift in business software towards narrower AI systems built around defined jobs and data sources.

Market pressure

Payments and fraud vendors have been adding more AI-led products as merchants look for ways to reduce manual reviews, cut fraud losses and improve approval rates on legitimate transactions. Chargebacks and policy abuse have also become more expensive issues for retailers, especially in sectors with high volumes of returns and promotions.

For companies already using large language model tools internally, the MCP element may be one of the more notable parts of the announcement. Rather than requiring staff to sign into a separate dashboard to query Forter data, the protocol is intended to bring that information directly into general AI interfaces already used for internal analysis.

Eran Vanounou, Chief Technology Officer, Forter, said the aim was to make the company's data and decision tools easier to use in day-to-day work.

"We've always built AI solutions for the people behind commerce who work tirelessly to offer the best experience to their consumers," said Eran Vanounou, Chief Technology Officer, Forter. "Intelligence is now accessible in seconds, in context, and with the accuracy our global network has built over 13 years. These AI agents create a competitive advantage for every Forter customer, who can now accelerate time to impact across the entire customer journey."