Artificial intelligence is everywhere. It comes up in boardrooms, industry headlines, and nearly every conversation about the future of fraud prevention. Banks are being told that AI will change how they detect fraud, investigate threats, and protect customers. That may be true, but it does not mean everything has to change at once.

Much of the conversation centers on autonomous, agentic AIs that can independently analyze information, make decisions, and act. Those capabilities are exciting, but they can also give banks the misleading impression that they need to rethink personnel, processes, and technology all at once. They do not.

AI can be introduced gradually by addressing specific points of friction. For fraud teams, the goal is not to hand over control, but to make themselves and their workflows more effective. That’s where agentic AI assistants come in: they work alongside fraud professionals, helping them move faster, uncover insights sooner, and spend more time on the complex decisions that require human expertise.

At Bottomline, that thinking is behind Ask B, our framework for AI-powered assistants built to support specific banking and fraud workflows. Instead of replacing experienced professionals, Ask B brings practical, purpose-built intelligence into the moments when teams need it most. It helps them interpret information, reduce manual work, and make more confident decisions while keeping people in control.

 

Why Choose AI Assistants Over AI Agents?

Not all AI is built to do the same job. The real difference between an AI agent and an AI assistant is how independently it operates and, ultimately, who makes the decision.

AI agents are typically designed to pursue goals, make decisions, and act with limited human involvement. That model may be right for some tasks, but fraud prevention involves decisions that can affect customers, payments, compliance, and financial loss.

That’s why Bottomline chose to develop AI assistants for fraud teams rather than using fully autonomous agents. We believe AI’s best role in fraud prevention is to help human experts work faster and make more informed decisions, and not to take consequential decisions out of their hands.

Bottomline’s AI assistants are designed to gather information, analyze data, spot patterns, and offer recommendations, while people remain in control. This human-in-the-loop approach gives banks the speed and scale of AI without giving up the oversight, transparency, and accountability their fraud operations require.

Think of the difference this way:

  • An AI agent might investigate a case and decide what action to take.
  • Within that framework, Ask B Fraud Interpret helps organize evidence, highlight potential risks, and provide recommendations for a fraud investigator to review.

It’s a meaningful distinction. An AI assistant uses the fraud team's expertise and supports their decision framework. This is not pursuing autonomy for bragging rights. It is a focus on practical AI that helps fraud investigators make informed decisions faster, and with greater confidence.

 

How ‘Human-in-the-Loop' Supercharges Fraud Prevention

Fraud prevention is rarely simple. A transaction that looks suspicious may be entirely legitimate, and a customer showing unusual behavior may simply be traveling or making an exceptionally large purchase. Context is critical, which is why experienced fraud professionals remain so valuable. A human-in-the-loop approach brings AI’s speed and analytical power together with the fraud team’s judgment, expertise, and accountability.

AI excels at:

  • Analyzing large volumes of data in seconds
  • Identifying anomalies and emerging patterns
  • Surfacing relevant information
  • Accelerating investigations
  • Reducing manual effort

Humans excel at:

  • Applying business and customer context
  • Evaluating complex situations
  • Managing exceptions
  • Ensuring compliance
  • Making accountable decisions

Together, those strengths create a stronger fraud defense than could be achieved in isolation. As fraud tactics become more sophisticated, banks need the speed of AI, but they also need the confidence that comes from keeping experienced people involved in critical decisions.

One of the biggest misconceptions about AI is that its ultimate purpose is to replace people. In fact, its more immediate value comes from removing friction. Fraud investigators spend countless hours reviewing alerts, searching for supporting information, documenting investigations, and connecting data across multiple systems. That work is necessary, but much of it is also repetitive and time-consuming. Ask B Fraud Interpret can ease that burden by bringing together relevant information, summarizing findings, identifying trends, and highlighting potential risks, allowing fraud investigators to spend less time gathering information and more time making informed decisions.

That support becomes even more valuable when AI can start working earlier in the payment journey. By monitoring activity upstream, before a payment reaches the rail, AI has more data points to work with and can spot unusual patterns sooner. The fraud investigator then has more time to investigate and resolve a concern before execution, without unnecessarily slowing a legitimate payment.

 

How AI Assistants Support Fraud Teams

At Bottomline, we believe the future of fraud prevention is not about replacing human expertise, but in amplifying it. Built on a human-in-the-loop foundation, Ask B Fraud Interpret helps fraud investigators work smarter during investigations by surfacing relevant insights and reducing manual effort, while Ask B Fraud Advise helps fraud analysts monitor and tune the fraud model.

Ask B Fraud Interpret supports fraud investigators throughout the investigation's decision-making process rather than operating independently, so recommendations remain visible and explainable, and the fraud professional makes the final call. This approach delivers the benefits of AI while maintaining the control, transparency, and accountability banks require.

As AI evolves, banks will have more choices about how they use it. Banks do not need to transform every process overnight. They can start with focused use cases where Ask B Fraud Interpret reduces manual work for fraud investigators, and Ask B Fraud Advise supports fraud analysts in monitoring and tuning the fraud model, delivering measurable value within existing operations. In fraud prevention, success isn’t measured by how much control is handed to technology. It is measured by how effectively technology supports the people responsible for protecting customers and banks from loss.

No single tool or team will outsmart fraud on its own, especially as criminals use AI to make their attacks faster and more convincing. But by bringing AI and AI assistants together with machine learning, behavioral biometrics, upstream monitoring, human-in-the-loop decision-making, and shared intelligence through Bottomline’s Fraud Intelligence Exchange, a much stronger defense is created. Starting monitoring earlier in the payment journey adds context and gives fraud teams more time to act, while every additional layer and signal helps them see more of the story.

By combining technology, intelligence, and human expertise, we can outsmart fraud, even when the fraud is AI-generated. That is the promise of human-in-the-loop AI. It does not replace fraud experts. It gives them a faster way to find the right information, understand the risk, and make the decisions only they should make.