ICYMI: AI That Drives Growth and Deepens Financial Relationships

Thirty percent of consumers are already asking AI financial questions. Is your institution ready?

Last week’s webinar featured industry leaders discussing the seismic shift we’re seeing in banking today, and the conversation boiled down to this: the institutions that have been waiting for AI adoption to become mainstream have already missed the window for first-mover advantage.

Using AI isn’t enough. What matters is whether your institution has the governance, architecture, and data infrastructure to deploy it responsibly at scale, and in ways that measurably improve people’s lives. Without these foundational elements, even the most sophisticated AI systems become liabilities.

Here are the top four takeaways from this week’s webinar:

1. AI is a Relationship Builder, Not a Cost-Reduction Tool 

Treating AI like a glorified Q&A bot misses the point. Customers are already asking AI about budgeting, debt, and retirement—the things they used to talk to an advisor about. If your institution doesn’t deliver those answers, external AI tools will disintermediate your relationship, making your FI optional. When done right, AI surfaces a customer’s full financial picture to drive true financial wellness and build deep, long-term trust.

2. Point Solutions Create Silos

Stitching together isolated AI tools across lending, wealth management, and support leaves the customers experience disjointed and inconsistent. Real competitive advantage comes from agentic orchestration: an overarching operating system that connects everything and allows intelligence to compound across every department.

3. The Ability to Execute Matters

The gap between demo and production is where most institutions stall. Real customers bring edge cases, regulatory requirements add complexity, and the data becomes challenging. Financial institutions that succeed act decisively, setting clear parameters and aligning risk teams early rather than getting stuck in perpetual planning phases.

4. Strong Governance Lets You Move Faster, Not Slower

When financial institutions get excited and start moving too fast, they skip the governance layer and find themselves making recommendations they can’t justify, and sometimes end up facing regulatory scrutiny and damaging their reputations. Strong data governance is what separates confident deployments from risky ones. Here’s what that looks like:

• Clean data feeding the AI
• Safeguards that prevent unsuitable recommendations before they reach customers
• Full visibility into each decision for audits, customers, and regulators
• Built-in compliance with FINRA, SEC, and other relevant standards
• Human oversight that can review, adjust, or override when needed

Our Financial AI Assistant in Action

After all the strategic discussion, we gave a demo of our new Financial AI Assistant, now open to early adopters. Here’s a look at what it does.

First, clarity. Instead of forcing customers to read through lengthy chat responses, our embedded, dynamic UI brings data to life visually. It breaks down spending patterns, flags hidden waste, and shows customers exactly where their money is going.

Then, action. Based on that clarity, the AI makes action effortless. No friction, no delay. Customers see the opportunity and can take action immediately, right there in the interface.

Ready to Lead?

Institutions that act now will define banking for the next decade. Those that don’t will be responding to market leaders.

We’re opening early access to our financial AI assistant for FIs ready to lead. Here’s what early adopters gain:

• AI purpose-built to deepen customer relationships, not just handle inquiries
• A proven path to production-ready AI that connects cross-product insights, driving multi-product adoption and uncovering higher-value lifetime relationships.
• Immediate positioning to meet rising consumer demand early, locking in long-term trust and retention
• A clear path to production-ready AI that drives measurable results

Become an early adopter.