When Credit and Treasury Finally Speak the Same Language

The customer doesn’t care how your bank is organized. As Webster Bank’s Nate Dube puts it, customers “face off against the bank. Not one part of the bank versus the other part of the bank versus the third part of the bank that they’ve never heard of.”

But inside most commercial banks, that’s exactly what’s happening. A relationship manager sits across from a long-standing client who’s ready to expand, the lending picture in front of them. Down the hall, the Treasury team has its own view of the same customer. Neither can see what the other has offered, what concessions have already been made, or what the full relationship is worth. The meeting ends with two separate follow-up calls, two separate proposals, and the customer quietly wondering if they’d be better served by the bank across the street.

This isn’t a rare case. It’s the everyday reality at many commercial banks, and it’s exactly the problem Q2 has spent years working to solve. It was also the main topic at CONNECT 26 as Q2 product leaders shared the roadmap for Relationship Pricing and Profitability.

What trillions in deals taught the platform

Q2 PrecisionLender has been helping commercial banks price deals and manage relationship profitability since 2009. What started as guided, deterministic deal coaching—helping relationship managers price in the moment with real data, not gut instinct—has grown into one of the most widely used relationship pricing solutions in the industry. Institutions representing trillions of dollars in commercial banking activity use it daily.

Relationship intelligence isn’t a new idea for Q2, and neither is the use of AI to do it. Rather, Q2’s roadmap is extending a long track record of building pricing discipline into banker workflows, with a community of peers whose aggregate data makes every institution’s insights sharper.

Bringing the full relationship into view

Dube, senior managing director and head of Platforms and Profitability at Webster Bank, has implemented Q2 PrecisionLender at three different institutions over his career. When asked about the challenge of building frameworks that actually stick with relationship managers, his answer came back to one word: simplicity.

“You have to keep it simple. Especially as you go up the stack in large organizations, it gets overcomplicated so quickly. It is our responsibility, even in those most complex scenarios, to figure out what’s the simplest way to get back to what’s important,” he said.

That pursuit of simplicity runs directly into the structural reality of most commercial banks. Credit and treasury have historically operated as separate teams with separate systems, separate goals, and separate conversations with the same customer. Even when both teams do their jobs well, the bank often walks away having left something on the table because no one had the full picture.

That’s the problem Premium Treasury Pricing is designed to solve. Callie Platzer, Q2 senior product manager, said this latest innovation is the piece that brings the full relationship picture into focus.

“It enables efficient and intelligent pricing and proforma generation prepopulated with the existing relationship and also priced in the context of the full opportunity with both loans and deposits. It moves treasury out of historically siloed practices and brings the transparency, collaboration, and discipline needed to drive better outcomes,” she said.

The critical distinction—and one that sets Q2’s approach apart from the market—is that this isn’t an integration between two separate tools. It’s treasury pricing built natively into the same application as credit and deposit pricing. One unified experience, not a workaround.

“Banks tend to be deeply siloed, and their data and workflows are a direct reflection of that. Bringing together disparate systems, different workflows, different teams, all with different goals to calculate relationship profitability in a way that’s meaningful and comparable, is genuinely hard to do. And frankly, that’s why most software companies have taken the easier path and just solve for one piece of it,” she said.

But the cost of that fragmentation isn’t just internal. It shows up in every customer conversation where the bank can’t see the full picture. That’s exactly why Q2 has made the commitment to have treasury pricing in the same application as both loans and deposits. Not as an integration, not as a workaround, as one unified experience.

Webster Bank went live with Premium Treasury Pricing earlier this year. Dube described the before-and-after in practical terms.

“Before, the treasury teams and the relationship teams were separate. They were siloed. Decisions were being made without the view of both sides. There was no centralized data where they could look at the whole relationship in one spot. Then without that, you sort of lead to disparate views of what profitability looks like between system A and system B,” he explained.

Having that single view changed the nature of the conversation, both internally and with customers.

“And it’s less generic. You feel like you’re getting a tailored solution to whatever is a hot button issue for the customer rather than, “Here’s my generic product set. I only have this parameter between this parameter and this parameter to work through. Anything else, sorry, can’t do it. Have a nice day.” It becomes a real conversation about what matters to you,” he said.

That shift from transactional pricing to genuine relationship decisions is ultimately what drives better outcomes for both the bank and the customer.

Building forward, not starting over

The commercial banking technology market is awash right now in AI messaging. Agents, large language models, agentic workflows—everyone has something to say about the future. What’s less common is a vendor that can point to seven years of embedded AI intelligence already running in production at scale.

Q2’s Lauren Silsby, senior manager of Product Management, framed the conversation with that perspective front and center.

“Intelligence for PrecisionLender, artificial or not, is not a new concept. The market’s kind of newly obsessed with some of these terms like large language models, agentic, agents, AI, tokens. But for us, really, the story is continuity and not reinvention,” she said.

That continuity is the point. The Andi skills, alerts, market insights, solver tools, and blueprint capabilities that PrecisionLender customers rely on today aren’t going away. But the more significant development is what comes next. Q2 is actively building capabilities into the platform designed around two distinct needs.

The first is giving administrators and bankers a smarter way to query platform configurations, access Q2’s support content, and surface answers grounded in their own institution’s internal policies and procedures—all without hunting through screens or submitting a ticket.

The second is surfacing opportunity and risk signals across the portfolio directly in the banker’s workflow. Rather than waiting for a quarterly review, bankers and managers get relevant signals at the moment they can act on them.

Silsby described the underlying design philosophy as rules-based systems coexisting with AI-augmented workflows.

“The rules layer is what gives you the consistency, the policy alignment, and the institutional discipline. And the AI layer is what gives you the speed, accessibility, context, and acceleration,” she said.

Looking further ahead, the vision is a closed-loop relationship intelligence platform that prices deals intelligently, measures outcomes, communicates performance, and continuously optimizes over time.

Be the partner, not the pitch

The commercial banking landscape isn’t getting simpler: margin pressure, rising competition, shifting regulatory requirements, and customers who expect a strategic partner rather than a series of product transactions. All of it demands that banks operate with a sharper, more connected view of every relationship.

Technology alone doesn’t solve that. But technology built on years of real pricing data, embedded discipline, and a genuine understanding of commercial banking workflows is a different kind of asset than a new AI agent dropped on top of a spreadsheet.

Q2 is investing in that difference, and the roadmap reflects it.

Learn more about Q2’s Relationship Pricing and Profitability solutions and our AI for Everyone approach.