By: Alyssa Miller
A financial firm’s next lost customer may never see its advertising. Increasingly, that customer is an AI agent, and it doesn’t care how good the campaign was. It cares whether the firm’s complaint log agrees with its marketing.
Aaron Tellier, Chief Marketing Officer at The Volute Group, thinks most financial marketing leaders are about to get caught flat-footed by that distinction. As AI systems take on more of the work of comparing financial products and recommending providers, they aren’t persuaded the way people are. A human customer can be swayed by a strong ad even when the service behind it is inconsistent. An AI system reads the pattern instead: the complaint volume, the response times, the fees, and it doesn’t extend the same benefit of the doubt. A Volute white paper published this year, authored by Chief Solutions Officer Shiv Gupta, found that nearly half of consumers already use AI-based search to guide which financial brands they consider, and that number is only growing.
Aaron has spent twenty-five years in financial services marketing, and his read on the problem isn’t abstract. It’s the same gap he built his firm to close.
“Senior marketing leaders weren’t being adequately served,” he says. “The big agencies and the big consultancies were both built for a different kind of buyer, and the leaders in between were left without a real option.”
Volute exists to connect CMOs at midsize companies, most heavily concentrated in financial services, directly with senior practitioners who have run these functions at scale, without the usual layers of an agency or consultancy sitting in between. Aaron describes the model as bringing expertise to a CMO “without the layers that usually sit between a senior leader and the person who actually knows the answer.”
That structure matters more now than it did five years ago, because the work an AI-driven market demands isn’t a content-formatting exercise. It’s an honest audit of which brand promises a company’s operations can actually support, and where the gaps are that a customer might forgive but a pattern-matching system won’t. That’s senior, cross-functional judgment, not something a junior account team can execute from a brief. It’s also not the kind of engagement most midsize firms can justify at a top-tier consultancy’s retainer. Aaron is direct about what he thinks the alternative looks like: “It’s the combination of two things that usually don’t come together: genuinely senior expertise, and a level of investment that a midsize company can actually justify. Big-firm thinking, without the big-firm engagement structure around it.”
The obvious pushback is that this is just search optimization with new vocabulary attached, structure the content so the algorithm can parse it, build some third-party authority, track how often the brand shows up in AI-generated answers. None of that is wrong, exactly. It’s just not sufficient. Formatting a firm’s content more cleanly doesn’t change what happens when an AI system checks that content against the firm’s actual complaint patterns and finds a contradiction. No amount of search optimization fixes a gap between what a company claims and what it delivers, because the gap itself is the thing being measured.
That’s the audit Aaron argues has to come before any new campaign: an inventory of what the firm can credibly promise, matched against what its service, billing, and claims process can consistently back up. It’s not a task most internal marketing teams are built to run objectively about their own operations, which is part of why Aaron sees this moment as validating the fractional, peer-level model Volute was built around in the first place.
Aaron’s stated ambition for the next several years of his own work tracks the same logic: to help senior marketing leaders “navigate what are genuinely dynamic times, and to help them build sustainable competitive advantage in spite of the uncertainty around them.” Agentic buying is one clear source of that uncertainty, and it rewards a specific kind of discipline, aligning what a firm says about itself with what it can actually prove, rather than a louder version of the same messaging that got a firm here.
For an industry where trust and compliance already govern everything, it’s not a small shift. It’s a reason to bring in the kind of senior judgment that can tell a company the truth about its own gaps before an algorithm does.
