Unlocking Data and Decision Making in Banking: A Conversation on AI-Driven Insights with Guests Sean Carter and Toly Chea
Wrestling Payments Podcast: Season 4 - Episode 04
Episode Summary
In this episode of Wrestling Payments, host Joe Casali is joined by Sean Carter, President & CEO of NEACH and NEACH Payments Group, and Toly Chea, Co-Founder of Predien.ai, for a conversation about one of the most pressing challenges facing community financial institutions: turning data into better decisions.
Toly explains how many banks and credit unions struggle with fragmented data spread across core systems, loan platforms, CRMs, fraud tools, and other applications, making it difficult to answer fundamental business questions about profitability, growth opportunities, and risk exposure.
The discussion explores how decision intelligence and artificial intelligence can help institutions unify data, model future scenarios, and make more informed strategic decisions. From evaluating mergers and pricing strategies to understanding customer profitability and fraud impacts, Toly shares how banks can use data more effectively without needing the budgets or analytics teams of larger institutions.
Sean highlights the importance of helping community financial institutions remain competitive, while Toly offers a vision of the future where AI continuously analyzes incoming data, identifies trends, and helps leaders evaluate opportunities before committing resources. The result is a practical conversation about leveraging technology to make smarter, faster, and more confident business decisions.
Guest-at-a-Glance
💡 Name: Toly Chea
💡 What he does: Co-Founder
💡 Company: Predien.ai
💡 Noteworthy: Former bank auditor, investment industry executive, and entrepreneur focused on helping financial institutions transform fragmented data into actionable intelligence through AI-driven analytics and decision modeling.
💡 Where to find him: Predien.ai
Key Insights
Connected Data Creates Better Decisions
Many financial institutions have access to valuable data but struggle to use it effectively because information lives across multiple disconnected systems. Core banking platforms, loan systems, CRM tools, and operational databases often don't communicate with one another, making strategic analysis difficult. By connecting and normalizing these data sources, leaders can gain a comprehensive view of profitability, customer relationships, and business performance. The result is faster access to actionable insights that improve decision-making at both the strategic and operational levels.
Community Banks Can Compete More Effectively with Decision Intelligence
Larger institutions often have dedicated analytics departments and significant technology budgets. Community banks typically operate with fewer resources, making it harder to extract value from their data. Toly explains how decision intelligence platforms can help level the playing field by combining advanced analytics with financial expertise, allowing smaller institutions to make informed decisions about growth, profitability, and risk without building large in-house teams.
Smarter Decisions Matter More Than Faster Decisions
Speed alone isn't enough. The conversation emphasizes that successful organizations focus on making better decisions, not simply quicker ones. Scenario modeling enables institutions to test strategic initiatives before committing resources, helping leaders understand the potential impact of decisions on profitability, liquidity, capital ratios, and long-term growth. Confidence comes not from moving fast, but from understanding the possible outcomes before taking action.
AI's Future Is Continuous Optimization
Today's AI tools help organizations analyze historical information and model future outcomes. Looking ahead, Toly envisions AI becoming a real-time optimization engine that continuously evaluates incoming information, identifies opportunities and risks, and presents leadership with strategic recommendations. This evolution has the potential to transform how banks approach growth, profitability, and risk management.
Episode Highlights
The Hidden Cost of Fragmented Data
00:04:00 – 00:08:00
The episode begins by examining one of banking's most common challenges: disconnected data. Toly explains how institutions often store information across multiple systems, making it surprisingly difficult to answer simple questions about customer profitability, product performance, or business growth opportunities. What appears to be a technology problem is often a combination of fragmented systems and poor data quality.
“The simple answer of who's my most profitable client becomes a week-long process versus something that they push out in a few minutes.”
Looking Beyond Surface-Level Profitability
00:20:00 – 00:24:00
Sean and Toly discuss how true profitability requires looking beyond traditional metrics. Fraud losses, service costs, operational workloads, and customer behavior can dramatically impact the value of a relationship. By incorporating broader datasets into analysis, institutions can gain a more accurate understanding of where their resources are generating the greatest return.
“These set of clients make up 80% of our profitability, and we should really focus on them. While these set of clients have a lot of frauds, a lot of disruption, and they're not really true profitable.”
Scenario Modeling Reduces Strategic Risk
00:15:00 – 00:18:00
One of the most compelling parts of the conversation centers on scenario modeling. Rather than relying solely on historical reporting, institutions can test potential decisions before implementing them. Whether evaluating a merger, growing deposits, expanding a branch, or launching a new product, leaders can assess possible outcomes and risk factors in advance.
“If you were to merge with XYZ Bank right here, here's what your post-balance sheet income statement looks like. But here's what it looks like under different scenarios.”
From Reporting Tool to Real-Time Intelligence Engine
00:24:00 – 00:28:00
Toly describes how decision intelligence extends beyond static reporting. As data flows into the system, AI can identify anomalies, monitor trends, flag potential issues, and help leaders understand what's changing across their business in real time. The ultimate goal is not simply reporting what happened—but helping organizations respond before problems emerge.
“It's a live machine that's continuously looking at data and giving you insight before you could even look at it.”
Leveling the Playing Field for Community Financial Institutions
00:39:00 – 00:41:00
The episode concludes with a discussion about the future of community banking. Both Sean and Toly argue that access to better technology and better decision-making tools can help smaller institutions compete more effectively against larger organizations. With the right data, analytics, and expertise, community banks can make smarter strategic decisions and continue serving their local markets successfully.
“We not only provide you the most advanced technology, but the analytical infrastructure to allow us to assess the data that's coming in.”
Listen, Learn, and Wrestle with the Future of Payments
As financial institutions face increased competition, tighter margins, and rapidly evolving technology, better decision-making has become a competitive advantage. This episode explores how AI, analytics, and decision intelligence can help banks move beyond reporting and toward smarter, more confident business decisions.