Fintech & Banking Innovation

Industry Experts Forecast AI Governance and Agentic Automation Trends Ahead of FinovateFall New York

The financial services industry is preparing for its annual convergence at FinovateFall, scheduled to take place from September 9 through 11 in New York City. As the sector grapples with the transition from experimental artificial intelligence to scalable, production-ready applications, the upcoming event serves as a critical barometer for the technologies that will define the next era of banking. Finovate, known for its unique "live demo" format, remains a primary venue for decision-makers to vet emerging solutions in real-time. In the lead-up to the conference, several high-profile speakers and industry veterans have shared their insights on the shift toward agentic automation, the necessity of proactive AI governance, and the persistent friction points within global finance that fintech has yet to fully address.

The Evolution of Finovate and the New York Financial Hub

FinovateFall returns to New York at a time when the city’s role as a global financial nerve center is being reinforced by a surge in fintech investment and regulatory scrutiny. Unlike traditional conferences that rely heavily on keynote presentations and static slides, Finovate maintains a strict "no slides" policy for its demonstrators. Each company is allotted seven minutes to showcase a live, working version of its technology. This format is designed to strip away marketing hyperbole, allowing bank executives and venture capitalists to assess the technical viability of a product on the spot.

The 2024 iteration comes amidst a significant shift in the fintech landscape. Following the "fintech winter" of 2023, where venture capital funding saw a sharp contraction, the industry has pivoted toward "pragmatic innovation." Investors and institutions are no longer prioritizing growth at all costs; instead, the focus has shifted toward operational efficiency, risk mitigation, and verifiable return on investment (ROI).

Scaling Intelligent Automation: The KeyBank Perspective

Michael Reynolds, a Business Technology Executive at KeyBank, stands at the forefront of this shift toward operational efficiency. Reynolds oversees the bank’s intelligent automation strategy, a comprehensive portfolio that includes robotic process automation (RPA), intelligent document processing (IDP), low-code development, and generative AI. Under his guidance, KeyBank has successfully integrated a digital workforce that now performs the equivalent labor of more than 500 full-time employees.

Meet Four FinovateFall Speakers: Their Thoughts on AI, Banking, and What’s Next

According to Reynolds, the primary value of Finovate lies in its ability to showcase "production-ready" technology. "Finovate is one of the few conferences where you can see real, working technology, not concept slides," Reynolds noted. He emphasized that the live demo format allows banks to quickly identify fintech partners that can actually deliver on their promises, rather than those merely riding the wave of AI hype.

Looking toward the next 18 months, Reynolds identifies "agentic automation" as the next frontier for financial institutions. While the initial wave of AI in banking focused on chatbots and basic data retrieval, agentic AI refers to systems capable of autonomous decision-making and executing complex workflows with minimal human intervention. "The winners will be institutions that combine AI with strong governance, security, and operational integration, not those simply deploying chatbots," Reynolds stated. Within KeyBank, the immediate impact of AI is being felt in back-office operations—accelerating knowledge retrieval and automating manual processes to allow human staff to focus on higher-value advisory roles.

Authenticity and Storytelling in an AI-Driven Market

As AI tools become more ubiquitous, the challenge for both fintechs and banks is standing out in a crowded marketplace. Sam Kilmer, Managing Director at Cornerstone Advisors, suggests that the industry must move beyond generic AI-generated claims and focus on authentic storytelling. Kilmer, who leads Cornerstone’s work with fintechs and private equity firms, argues that the fast-paced nature of Finovate is an ideal environment for cutting through the noise.

"Banks will need to improve showing outcomes and storytelling authentically to stand out from increasingly AI-generated content and claims," Kilmer observed. His perspective reflects a broader industry concern: as generative AI makes it easier to produce marketing materials and code, the "human element" and proven track records become more valuable. For Cornerstone Advisors, the focus remains on helping organizations navigate the complexities of partnerships, ensuring that the integration of new technology leads to measurable business outcomes rather than just technical novelty.

The Venture Capital Lens: Identifying Unsolved Frictions

While much of the industry’s attention is focused on AI, some of the most fundamental problems in finance remain unresolved. Andrew Endicott, Co-Founder of Gilgamesh Ventures, points to persistent inefficiencies in core banking functions. Endicott, who previously co-founded the credit card fintech Petal and authored Is Finance Technology?, views Finovate as a vital gathering for the "pre-seed through Series A" ecosystem.

Meet Four FinovateFall Speakers: Their Thoughts on AI, Banking, and What’s Next

Despite the rapid advancement of digital banking, Endicott notes that certain legacy systems continue to create significant friction. "There are many problems in finance that are unsolved, but I feel that wire transfers are a big one," he stated. This sentiment echoes a wider industry frustration with the speed and cost of cross-border and high-value domestic payments. While real-time payment rails like FedNow and RTP (Real-Time Payments) are gaining traction in the United States, the global "plumbing" of finance still relies heavily on legacy protocols that are ripe for disruption by the next generation of fintech innovators.

The Critical Mandate for AI Governance

Perhaps the most pressing issue facing the industry today is the intersection of innovation and regulation. Katherine Avery, Founder of Chimayo Consulting and a veteran enterprise risk executive, warns that banks cannot afford to treat AI governance as an afterthought. With over two decades of experience in capital markets and digital assets, Avery helps institutions build frameworks that can withstand the scrutiny of regulators.

Avery’s endorsement of Finovate stems from its "practitioner-driven" nature. "The demos are live and unscripted, judged by people who actually implement this technology, which forces a level of rigor other conferences don’t demand," she explained.

Avery identifies a fundamental shift occurring over the next five years: the transition of AI from a discrete tool to an "embedded decision maker." This evolution will see AI taking an active role in underwriting, continuous monitoring, and customer interactions. "That shift collapses the old boundary between innovation and risk functions," Avery said. "Governance can no longer sit downstream of deployment."

Furthermore, Avery highlighted a significant gap in current risk management: third-party visibility. As banks increasingly rely on a complex web of fintech vendors and cloud platforms, the risk of "concentration or contagion" increases. Most current risk frameworks are insufficient for monitoring deep into the supply chain, a problem that Avery believes fintech has not yet solved effectively. She expects that by the end of 2026, the adoption of agentic AI in compliance and back-office functions will accelerate as institutions become more comfortable with AI taking "bounded, delegated actions."

Meet Four FinovateFall Speakers: Their Thoughts on AI, Banking, and What’s Next

Supporting Data: The State of AI in Banking

The insights provided by the FinovateFall speakers are supported by recent market data indicating a massive shift in capital allocation. According to a 2024 report by Gartner, banking and investment services are expected to spend more on software than any other industry, with a projected growth rate of 13.8%. A significant portion of this spending is earmarked for AI and machine learning.

Furthermore, a study by McKinsey & Company estimates that generative AI could add between $200 billion and $340 billion in value annually to the global banking sector, largely through increased productivity. However, the same report notes that "operationalizing" this value remains the primary hurdle—a point emphasized by Michael Reynolds and Katherine Avery. The "500-employee equivalent" digital workforce at KeyBank serves as a rare example of this potential being realized at scale.

Chronology of the Upcoming Event

FinovateFall 2024 is structured to maximize interaction between different segments of the financial ecosystem. The timeline for the event is as follows:

  • September 9 (Day One): The conference kicks off with the first round of live fintech demos. These sessions are interspersed with "Power Panels" featuring bank executives and venture capitalists who provide immediate feedback on the technologies presented.
  • September 10 (Day Two): The demo sessions continue, complemented by deep-dive "Interviews" and "Analyst Briefings." These sessions focus on specific themes such as digital transformation, customer experience, and the regulatory landscape.
  • September 11 (Day Three): The final day focuses on the broader strategic implications of the showcased technologies. The event concludes with the "Best of Show" awards, where the audience votes for the most impressive demonstrations based on innovation and potential impact.

Broader Impact and Industry Implications

The themes emerging ahead of FinovateFall suggest that the banking industry is entering a period of "mature digital transformation." The focus is no longer on simply having a mobile app or a basic chatbot; it is about the deep integration of intelligent systems into the core fabric of the institution.

The move toward agentic AI represents a paradigm shift in how banks operate. If AI systems are given the authority to make bounded decisions—such as approving a loan within certain parameters or flagging a suspicious transaction without human intervention—the speed of commerce could increase exponentially. However, as Katherine Avery pointed out, this also introduces systemic risks that current governance models are not yet equipped to handle.

Meet Four FinovateFall Speakers: Their Thoughts on AI, Banking, and What’s Next

Moreover, the emphasis on third-party risk visibility highlights the growing interdependence of the financial ecosystem. A failure at a single fintech vendor could theoretically impact dozens of banks, a scenario that regulators are increasingly concerned about. The discussions at FinovateFall will likely play a key role in shaping how the industry addresses these "contagion" risks.

As the industry gathers in New York this September, the goal is clear: to find the technologies that provide real solutions to age-old problems while building the governance structures necessary to ensure those solutions are safe, transparent, and sustainable. For the speakers and attendees of FinovateFall, the next three days will offer a glimpse into a future where finance is not just supported by technology, but is fundamentally redefined by it.

Written by Syahid Saman

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