Why We Started Posh: Giving Every Financial Institution Access to AI

A few years ago, a banking leader said something to our team that we haven't been able to stop thinking about: "We're losing customers to Chase, not because our rates are worse or our customer service is bad. We're losing them because we can't respond to their calls and chats late at night."

Her institution had served that community for decades. They knew their customers by name. They'd financed the hardware store on Main Street and helped generations of families buy homes and reach financial milestones. And they were losing ground to bigger budgets and algorithms.

That conversation crystallized something we'd been seeing for months. The biggest banks aren't just getting bigger through mergers anymore, they're building technology moats. Bank of America's Erica handles nearly a billion interactions a year. JPMorgan Chase has thousands of data scientists and engineers working on AI. They're becoming functionally available 24/7, infinitely scalable, and increasingly difficult to compete with.

Meanwhile, community banks and credit unions, the institutions that actually anchor local economies and thrive on personal relationships, are being left behind by the technology gap.

That's why we started Posh.

The Idea That Started Everything

Walking through Boston, past community banks and credit unions on nearly every block, a question started to take shape. Each one a pillar of its neighborhood. Each one competing with the same giants and trying to differentiate through the human touch, through actually knowing their customers.

People often assume AI is the opposite of the human touch. But what if we had it backwards? What if AI, done the right way, could actually amplify it, freeing your staff to go the extra mile for the moments that truly matter?

Instead of spending hours on password resets and balance inquiries, what if your team could focus entirely on helping a family navigate their first home purchase, or guiding a small business owner through a critical lending decision?

The question became: who was going to make sure community institutions had access to that technology? Most don't have armies of engineers and data scientists. They're facing impossible math competing with institutions spending billions on technology when their entire annual budget is a comparative rounding error.

For years, the answer was: you can't.

We built Posh because we refuse to accept that answer.

Our Mission: Arm the Davids

From day one, our mission has been clear: give every financial institution access to the same caliber of AI that the largest banks have. Be the distributed AI lab that community banks and credit unions don't have in-house.

This isn't about replacing people or automating empathy. It's about great member experiences, people helping people, and using AI as a tool to amplify human connection not replace it.

In practice, that means deploying AI across the channels that matter most. Voice AI that handles common FAQs and transactions 24/7, so your team can focus on situations that require real judgment. Digital AI that answers customer questions on your website and mobile app with consistency and accuracy. Internal AI that gives staff instant access to policies and procedures, plus a training Simulator that prepares them with realistic practice scenarios before they ever pick up the phone.

The goal isn't to remove humans from banking. It's to free them up for the moments where they make the biggest difference.

What This Looks Like in Practice

Metro Credit Union deployed Posh across three channels. They now route over 60,000 calls a month through their voice agent, with half resolved without ever reaching a human agent. Their internal knowledge assistant has logged 1,500+ staff searches. Their website AI handles 2,000 monthly member questions at 97% accuracy. Their team now has time to focus on the complex needs that actually require them.

Camden National Bank launched voice AI ahead of a major merger. When they absorbed 30,000 new customers, their voice agent handled the surge and the entire transition was completed in two weeks instead of the typical four to six. When a fraud topic spiked, 80% of related callers were handled directly by the agent, so human staff could focus on the cases that needed them most.

Sound Credit Union in Tacoma serves over 170,000 members. Before Posh, they were facing an impossible choice: hire significantly more staff or let service quality slip. Today they're hitting a 77% containment rate and saving over $15,000 per month. As their Digital Member Services Manager put it: "Without Posh's automation, we would have needed an additional 3.5 full-time employees per month to support mobile chat alone."

These institutions didn't need a research lab. They needed a partner who understood banking and could implement AI within their world, their budget, and their risk profile.

How We're Different

Most AI companies are built by people who've never worked in a contact center or managed regulatory compliance. Our team has lived in banking operations. We know compliance isn't a checkbox, it's embedded in every decision we make.

We start every deployment the same way: internal-facing first. Let the team test it. Let them learn how it thinks. Build confidence before anything touches a member. Banks don't fail at AI because the technology doesn't work. They fail because they move too fast, deploy something that doesn't understand banking, or pick a vendor who disappears when things get complicated.

Somerville's Credit Union has just four full-time employees. When their CEO chose Posh, he said it simply: "We didn't want a vendor just focused on profits. We wanted a partner who genuinely cared about the needs of credit unions and was invested in helping us grow."

That's the standard we hold ourselves to with every client.

The Stakes Are Real

The gap between the largest banks and everyone else is widening faster than it ever has. Every quarter without access to modern AI is a quarter where community institutions lose ground they won't get back.

Hudson Valley Credit Union was watching Live Chat volume grow faster than they could hire and train to their standards. After implementing Posh, they've saved over 200,000 minutes of staff time without adding headcount. "Without having to hire additional people, we serve our members faster and at all hours," said their Assistant VP of Contact Center.

Members under 35 are making decisions about where to bank based on digital experience. If community institutions can't compete there, those relationships are gone and with them, the local decision-making, community knowledge, and human touch that made these institutions special in the first place.

The Movement Is Already Here

Freedom First Credit Union's AI assistant manages over 25,000 calls a month and saves them over $225,000 annually in third-party costs. Associated Credit Union of Texas saw a 93% decrease in call abandonment rates. Affinity Credit Union's assistant handles 94% of monthly website interactions and decreased chat volume by 44%.

These institutions aren't waiting for permission to innovate. They're moving now because they understand what's at stake.

What's Next

The AI models available today can do things that were impossible a year ago. But the real breakthrough isn't just better conversation, it's AI that can take action.

That's why we've been building Operating Procedures at Posh. Instead of just answering questions, AI can now get work done. Unlock a card. Transfer between accounts. Pay off a credit card. File a dispute. This is how community institutions scale what they do best without losing what makes them personal and how they match the convenience of the mega-banks without needing their budgets.

These aren't shortcuts. They standardize how your institution handles common situations, consistently, safely, and in a way that reflects your standards so your team can stay focused on the moments that truly require human judgment.

Our job is to stay ahead of that curve and bring those capabilities to every institution we serve, responsibly. Through disciplined innovation, where every new capability is evaluated rigorously before it touches a banking environment.

That's how we move fast without breaking things. That's how we make sure that ten years from now, when someone walks through their town, those local banks and credit unions are still there, still thriving, still serving their communities with the human touch that makes them special, powered by technology that matches anyone in the market.

The future of banking doesn't have to consolidate into five mega-institutions. Community banks and credit unions can thrive in an AI-powered world but only if they move now, and only if they have partners who help them do it right.

That's why we built Posh. And that's why we're just getting started.

Want to see what this looks like for your institution? Explore our client stories or reach out to our team.