TEST: How a Midwest Credit Union Improved Member Conversations Across Every Channel

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The AmplifAI Effect: Measurable ROI

Time to find a specific call tied to an outcome
1 hr → sec
ITM sessions monitored annually
100K+
QA consistency across evaluators
100%

How a Midwest Credit Union Built a People-First Member Experience

Most credit unions compete on rates. Lower APRs, higher dividend yields, fewer fees — the traditional playbook for winning members in a market where car loans, credit cards, and savings accounts are available on every corner.

One Midwest community credit union — spanning 20+ branches with hundreds of thousands of member interactions annually — made a different bet. Instead of racing to the bottom on rates, leadership staked the organization's strategy on the quality of conversations happening between their people and their members, building a sales culture around a principle most financial services rarely operationalize: your people are your best product.

The problem was proving it. Proving that the conversations happening across branches, phone lines, and Interactive Teller Machines actually matched the member-first philosophy leadership had built the organization around.

[[quote-dark: "In financial services, rates are the same. You can get a car loan anywhere, a credit card anywhere. The differentiation is the experience your people provide." | SVP of Member Experience | Midwest Community Credit Union ]]

Credit Union Member Experience Beyond the Contact Center

Most organizations evaluating performance management software start with a simple question: how many contact center agents do you have? For this credit union, that question completely missed the point.

Member-facing conversations happen everywhere:

  • At every branch — tellers, loan officers, and financial advisors engaging members face-to-face throughout the day
  • Across phone lines — a centralized contact center handling service inquiries, transfers, and cross-sell opportunities
  • Through Interactive Teller Machines (ITMs) — video-enabled kiosks where members interact with remote tellers for transactions and service
  • Inside lead management systems — capturing and following up on referrals and product interest signals

Each channel represents a moment where the credit union's people-first philosophy either lives or fails. Leadership needed a way to verify quality across all of them — not just the traditional contact center calls that most QA programs focus on.

[[video-caption: Watch: SVP of Member Experience discusses building a trust-but-verify culture across 20+ branches — 4:32 ]]

A Four-Step Sales Framework Built on Conversations

The credit union developed a proprietary four-step sales framework that guides every member interaction. It's not a rigid script — it's a conversational structure designed to ensure that every interaction, whether at a branch window or through an ITM video session, follows a consistent approach to understanding member needs and offering relevant solutions.

The challenge was making this framework coachable at scale. With hundreds of team members across dozens of branches, leadership needed a way to measure adherence to each step, identify where conversations break down, and connect coaching actions to measurable improvements in conversion and member satisfaction.

The Manual QA Problem: A Scavenger Hunt

Before AmplifAI, quality assurance at the credit union was a manual process that leadership described as a scavenger hunt. Finding a single call meant navigating through telephony recordings and cross-referencing production reports — a process that could take an hour or more per call.

The deeper problem wasn't just speed. When three different leaders graded the same call, they produced three different scores. There was no consistency, no source of truth, and no way to know whether a coaching conversation was addressing the right issue.

Meanwhile, hundreds of thousands of member interactions across phone lines and ITM video sessions went completely unmonitored. These weren't just missed QA opportunities — they represented untapped sales intelligence hiding in plain sight.

Automated QA as the Trust-but-Verify Layer

AmplifAI's automated QA became the trust-but-verify layer the credit union needed. Instead of grading a handful of calls per agent per month, the platform now scores every member interaction — phone calls, ITM video sessions, and lead management workflows — against the credit union's proprietary four-step sales framework.

The impact was immediate: what once took an hour to find and grade now happens in seconds. And because the platform applies the same criteria consistently, the three-different-scores problem disappeared overnight. Every evaluator, every branch, every channel — one standard, one source of truth.

[[cta: See how AmplifAI can deliver these results for your team | 30 minutes today can extend your contact center capacity by 30%. | See AmplifAI in Action | https://www.amplifai.com/schedule-demo ]]

An Industry Leaving Value on the Table

As leadership dug into the data, they discovered something that surprised even the most experienced leaders: the credit union industry, broadly speaking, was leaving enormous value on the table by not monitoring the quality of member-facing conversations.

A nationwide credit union partner who works with financial institutions across the country confirmed that no other institution they work with monitors and coaches member interactions at this level. The credit union had become an industry outlier — not because they were doing something exotic, but because they were doing something fundamental that others had simply never operationalized.

From Decision to Deployment

The transition from manual QA to automated quality intelligence wasn't an overnight transformation. Leadership took a phased approach, starting with the highest-volume interaction channels and expanding as the team built confidence in the platform's scoring accuracy and coaching recommendations.

Key milestones in the deployment included calibrating the automated scoring model against the credit union's specific four-step framework, training branch leaders on how to interpret QA insights and translate them into coaching conversations, and establishing the coach-the-coach visibility layer that ensures managers themselves are driving behavioral change rather than just checking boxes.

Frontline Teams Embracing the Platform

Perhaps the most telling sign of success is how frontline teams have responded. Account executives now proactively request call reviews — they want to know how they performed, where they can improve, and what the data says about their conversations.

This isn't the typical response to a new monitoring tool. When QA feels punitive, teams resist it. When QA feels like a development tool that helps them get better at their jobs, they embrace it. The culture shift from "QA as oversight" to "QA as growth" is exactly what leadership intended when they chose to invest in conversational intelligence.

[[quote-dark: "In financial services, rates are the same. You can get a car loan anywhere, a credit card anywhere. The differentiation is the experience your people provide." | SVP of Member Experience | Midwest Community Credit Union ]]

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AmplifAI your CX

30 minutes today can extend your contact center capacity by 30%.
Use case
Communications & Technology

TEST: How a Midwest Credit Union Improved Member Conversations Across Every Channel

How a Midwest Credit Union Built a People-First Member Experience

Most credit unions compete on rates. Lower APRs, higher dividend yields, fewer fees — the traditional playbook for winning members in a market where car loans, credit cards, and savings accounts are available on every corner.

One Midwest community credit union — spanning 20+ branches with hundreds of thousands of member interactions annually — made a different bet. Instead of racing to the bottom on rates, leadership staked the organization's strategy on the quality of conversations happening between their people and their members, building a sales culture around a principle most financial services rarely operationalize: your people are your best product.

The problem was proving it. Proving that the conversations happening across branches, phone lines, and Interactive Teller Machines actually matched the member-first philosophy leadership had built the organization around.

[[quote-dark: "In financial services, rates are the same. You can get a car loan anywhere, a credit card anywhere. The differentiation is the experience your people provide." | SVP of Member Experience | Midwest Community Credit Union ]]

Credit Union Member Experience Beyond the Contact Center

Most organizations evaluating performance management software start with a simple question: how many contact center agents do you have? For this credit union, that question completely missed the point.

Member-facing conversations happen everywhere:

  • At every branch — tellers, loan officers, and financial advisors engaging members face-to-face throughout the day
  • Across phone lines — a centralized contact center handling service inquiries, transfers, and cross-sell opportunities
  • Through Interactive Teller Machines (ITMs) — video-enabled kiosks where members interact with remote tellers for transactions and service
  • Inside lead management systems — capturing and following up on referrals and product interest signals

Each channel represents a moment where the credit union's people-first philosophy either lives or fails. Leadership needed a way to verify quality across all of them — not just the traditional contact center calls that most QA programs focus on.

[[video-caption: Watch: SVP of Member Experience discusses building a trust-but-verify culture across 20+ branches — 4:32 ]]

A Four-Step Sales Framework Built on Conversations

The credit union developed a proprietary four-step sales framework that guides every member interaction. It's not a rigid script — it's a conversational structure designed to ensure that every interaction, whether at a branch window or through an ITM video session, follows a consistent approach to understanding member needs and offering relevant solutions.

The challenge was making this framework coachable at scale. With hundreds of team members across dozens of branches, leadership needed a way to measure adherence to each step, identify where conversations break down, and connect coaching actions to measurable improvements in conversion and member satisfaction.

The Manual QA Problem: A Scavenger Hunt

Before AmplifAI, quality assurance at the credit union was a manual process that leadership described as a scavenger hunt. Finding a single call meant navigating through telephony recordings and cross-referencing production reports — a process that could take an hour or more per call.

The deeper problem wasn't just speed. When three different leaders graded the same call, they produced three different scores. There was no consistency, no source of truth, and no way to know whether a coaching conversation was addressing the right issue.

Meanwhile, hundreds of thousands of member interactions across phone lines and ITM video sessions went completely unmonitored. These weren't just missed QA opportunities — they represented untapped sales intelligence hiding in plain sight.

Automated QA as the Trust-but-Verify Layer

AmplifAI's automated QA became the trust-but-verify layer the credit union needed. Instead of grading a handful of calls per agent per month, the platform now scores every member interaction — phone calls, ITM video sessions, and lead management workflows — against the credit union's proprietary four-step sales framework.

The impact was immediate: what once took an hour to find and grade now happens in seconds. And because the platform applies the same criteria consistently, the three-different-scores problem disappeared overnight. Every evaluator, every branch, every channel — one standard, one source of truth.

[[cta: See how AmplifAI can deliver these results for your team | 30 minutes today can extend your contact center capacity by 30%. | See AmplifAI in Action | https://www.amplifai.com/schedule-demo ]]

An Industry Leaving Value on the Table

As leadership dug into the data, they discovered something that surprised even the most experienced leaders: the credit union industry, broadly speaking, was leaving enormous value on the table by not monitoring the quality of member-facing conversations.

A nationwide credit union partner who works with financial institutions across the country confirmed that no other institution they work with monitors and coaches member interactions at this level. The credit union had become an industry outlier — not because they were doing something exotic, but because they were doing something fundamental that others had simply never operationalized.

From Decision to Deployment

The transition from manual QA to automated quality intelligence wasn't an overnight transformation. Leadership took a phased approach, starting with the highest-volume interaction channels and expanding as the team built confidence in the platform's scoring accuracy and coaching recommendations.

Key milestones in the deployment included calibrating the automated scoring model against the credit union's specific four-step framework, training branch leaders on how to interpret QA insights and translate them into coaching conversations, and establishing the coach-the-coach visibility layer that ensures managers themselves are driving behavioral change rather than just checking boxes.

Frontline Teams Embracing the Platform

Perhaps the most telling sign of success is how frontline teams have responded. Account executives now proactively request call reviews — they want to know how they performed, where they can improve, and what the data says about their conversations.

This isn't the typical response to a new monitoring tool. When QA feels punitive, teams resist it. When QA feels like a development tool that helps them get better at their jobs, they embrace it. The culture shift from "QA as oversight" to "QA as growth" is exactly what leadership intended when they chose to invest in conversational intelligence.

[[quote-dark: "In financial services, rates are the same. You can get a car loan anywhere, a credit card anywhere. The differentiation is the experience your people provide." | SVP of Member Experience | Midwest Community Credit Union ]]

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Customer Stories
Financial Services
Credit Union
Automated QA

Trust but Verify: How a Midwest Credit Union Improved Member Conversations Across Every Channel

Trust but Verify: How a Midwest Credit Union Improved Member Conversations Across Every Channel

Company

Midwest Community Credit Union

Industry

Communications & Technology

Focus Area

Retail Banking & Lending

Segment

Community Credit Union · 20+ Branches

Products Used

AI Channel Management

AI-Enabled Recognition Integrations

Integrations

Avaya

Cisco

Cogito

1 hr → sec

Time to find a specific call tied to an outcome

100K+

ITM sessions monitored annually

100%

QA consistency across evaluators

4-step

Proprietary sales framework made coachable at scale

TL;DR

Automated QA reduced call review time from 1 hour to seconds while achieving 100% evaluator consistency across 20+ branches.

Challenge

  • Finding a single call took an hour of searching through telephony recordings and production reports, and when three leaders graded the same call, they produced three different scores
  • Hundreds of thousands of member interactions across phone lines and ITM video sessions went completely unmonitored
  • End-of-week production reports showed loan volume and credit card bookings, but gave leadership no visibility into why numbers moved up or down

Solution

  • Automated QA scores every member interaction — phone calls, ITM video sessions, and lead management workflows — against a proprietary four-step sales framework
  • Conversational analytics connect QA scores to performance metrics and surface next-best-action coaching recommendations
  • Coach-the-coach visibility verifies that manager-to-frontline coaching conversations are driving measurable behavioral change

OUTCOME

  • Wallet share and conversion rates increased as leadership pinpointed which steps of the sales framework underperformed at each branch
  • Frontline teams embraced the platform — account executives proactively request call reviews, signaling a culture where accountability drives growth
  • A nationwide credit union partner confirmed no other institution monitors and coaches member interactions at this level
Read the Full Story

How a Midwest Credit Union Built a People-First Member Experience

Most credit unions compete on rates. Lower APRs, higher dividend yields, fewer fees — the traditional playbook for winning members in a market where car loans, credit cards, and savings accounts are available on every corner.

One Midwest community credit union — spanning 20+ branches with hundreds of thousands of member interactions annually — made a different bet. Instead of racing to the bottom on rates, leadership staked the organization's strategy on the quality of conversations happening between their people and their members, building a sales culture around a principle most financial services rarely operationalize: your people are your best product.

The problem was proving it. Proving that the conversations happening across branches, phone lines, and Interactive Teller Machines actually matched the member-first philosophy leadership had built the organization around.

[[quote-dark: In financial services, rates are the same. You can get a car loan anywhere, a credit card anywhere. The differentiation is the experience your people provide. | SVP of Member Experience | Midwest Community Credit Union]]

Credit Union Member Experience Beyond the Contact Center

Most organizations evaluating performance management software start with a simple question: how many contact center agents do you have? For this credit union, that question completely missed the point.

Member-facing conversations happen everywhere:

  • At every branch — tellers, loan officers, and financial advisors engaging members face-to-face throughout the day
  • Across phone lines — a centralized contact center handling service inquiries, transfers, and cross-sell opportunities
  • Through Interactive Teller Machines (ITMs) — video-enabled kiosks where members interact with remote tellers for transactions and service
  • Inside lead management systems — capturing and following up on referrals and product interest signals

Each channel represents a moment where the credit union's people-first philosophy either lives or fails. Leadership needed a way to verify quality across all of them — not just the traditional contact center calls that most QA programs focus on.

[[video-caption: Watch: SVP of Member Experience discusses building a trust-but-verify culture across 20+ branches — 4:32]]

A Four-Step Sales Framework Built on Conversations

The credit union developed a proprietary four-step sales framework that guides every member interaction. It's not a rigid script — it's a conversational structure designed to ensure that every interaction, whether at a branch window or through an ITM video session, follows a consistent approach to understanding member needs and offering relevant solutions.

The challenge was making this framework coachable at scale. With hundreds of team members across dozens of branches, leadership needed a way to measure adherence to each step, identify where conversations break down, and connect coaching actions to measurable improvements in conversion and member satisfaction.

The Manual QA Problem: A Scavenger Hunt

Before AmplifAI, quality assurance at the credit union was a manual process that leadership described as a scavenger hunt. Finding a single call meant navigating through telephony recordings and cross-referencing production reports — a process that could take an hour or more per call.

The deeper problem wasn't just speed. When three different leaders graded the same call, they produced three different scores. There was no consistency, no source of truth, and no way to know whether a coaching conversation was addressing the right issue.

Meanwhile, hundreds of thousands of member interactions across phone lines and ITM video sessions went completely unmonitored. These weren't just missed QA opportunities — they represented untapped sales intelligence hiding in plain sight.

Automated QA as the Trust-but-Verify Layer

AmplifAI's automated QA became the trust-but-verify layer the credit union needed. Instead of grading a handful of calls per agent per month, the platform now scores every member interaction — phone calls, ITM video sessions, and lead management workflows — against the credit union's proprietary four-step sales framework.

The impact was immediate: what once took an hour to find and grade now happens in seconds. And because the platform applies the same criteria consistently, the three-different-scores problem disappeared overnight. Every evaluator, every branch, every channel — one standard, one source of truth.

[[cta: See how AmplifAI can deliver these results for your team | 30 minutes today can extend your contact center capacity by 30%. | See AmplifAI in Action | https://www.amplifai.com/schedule-demo]]

An Industry Leaving Value on the Table

As leadership dug into the data, they discovered something that surprised even the most experienced leaders: the credit union industry, broadly speaking, was leaving enormous value on the table by not monitoring the quality of member-facing conversations.

A nationwide credit union partner who works with financial institutions across the country confirmed that no other institution they work with monitors and coaches member interactions at this level. The credit union had become an industry outlier — not because they were doing something exotic, but because they were doing something fundamental that others had simply never operationalized.

From Decision to Deployment

The transition from manual QA to automated quality intelligence wasn't an overnight transformation. Leadership took a phased approach, starting with the highest-volume interaction channels and expanding as the team built confidence in the platform's scoring accuracy and coaching recommendations.

Key milestones in the deployment included calibrating the automated scoring model against the credit union's specific four-step framework, training branch leaders on how to interpret QA insights and translate them into coaching conversations, and establishing the coach-the-coach visibility layer that ensures managers themselves are driving behavioral change rather than just checking boxes.

Frontline Teams Embracing the Platform

Perhaps the most telling sign of success is how frontline teams have responded. Account executives now proactively request call reviews — they want to know how they performed, where they can improve, and what the data says about their conversations.

This isn't the typical response to a new monitoring tool. When QA feels punitive, teams resist it. When QA feels like a development tool that helps them get better at their jobs, they embrace it. The culture shift from "QA as oversight" to "QA as growth" is exactly what leadership intended when they chose to invest in conversational intelligence.

[[quote-dark: In financial services, rates are the same. You can get a car loan anywhere, a credit card anywhere. The differentiation is the experience your people provide. | SVP of Member Experience | Midwest Community Credit Union]]

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