i2c Wants Payments Executives to Worry Smarter

Payments executives have long been accustomed to concerns about their industry's future. However, the challenge now lies in determining which worries are warranted. This critical distinction forms the core of i2c's perspective on the payments landscape, which is now influenced by artificial intelligence, shifting customer expectations, and outdated technology stacks.

In an interview with PYMNTS, i2c Chief Client Officer Jason Goldberg discussed two types of corporate paranoia: one focused on defending against potential competitor threats and the other on identifying opportunities that have not yet become apparent. Goldberg referred to "survival paranoia" as defensive, involving vigilance against potential dangers, while "thriving paranoia" is proactive, aimed at identifying areas where a company could be the first to introduce new innovations.

Three decades ago, Intel Chairman Andy Grove cautioned about strategic inflection points—times when market conditions or technology shifts alter companies' foundational assumptions. Today, the payments industry may be experiencing such a transition, although some traditional principles continue to hold. Despite this, the underlying principles—trust, security, and reliability—remain constant.

What evolves are the products, payment systems, customer expectations, and the technology used to deliver services. Goldberg noted that artificial intelligence's presence in financial institutions is becoming increasingly complex. Earlier discussions centered on efficiency gains, such as automating routine tasks and lowering customer service costs.

Now, the focus has shifted to AI systems that can independently act, make decisions, and reason during live interactions with customers. This evolution necessitates a reassessment of what financial institutions must prioritize. Rather than merely aiming to reduce operational expenses, institutions are now prioritizing AI's role in enhancing competitiveness and growth.

As AI continues to proliferate, it intertwines with various aspects of financial institutions, including fraud prevention, compliance, credit decisions, marketing, and cost management. This interconnectedness can create significant challenges, particularly for entities operating multiple legacy platforms. The fragmentation of data and workflows can hinder the seamless integration of AI-driven solutions.

Goldberg emphasized that financial institutions must carefully consider how to embed AI functions and compliance controls within their existing systems. "AI-driven fraud detection and servicing, including compliance scoring and real-time fraud detection, are current applications," Goldberg stated. When it comes to timing, Goldberg cautioned against rushing into AI adoption without proper safeguards.

Without robust guardrails, institutions risk shifting their primary concern from competitive differentiation to regulatory compliance and loss of trust. Trust is built gradually and can be lost rapidly. Waiting to implement necessary changes can result in missed opportunities. Goldberg advised that the optimal time to embrace AI and other technological advancements is while the decision is still under the company's control and before customers have already adopted similar offerings from competitors.