In early 2025, a well established credit union serving Greater Boston and the South Shore approached Vivify with a challenge that is increasingly common in the financial services industry: their member experience had not kept pace with the digital expectations of their membership base. The credit union had been operating for over 40 years, had approximately 35,000 members, and managed over $800 million in assets. Their reputation in the community was strong. Their technology, however, was a generation behind.
The credit union’s leadership team recognized that member expectations had shifted dramatically. Members who once were satisfied with friendly branch service now expected seamless digital experiences, personalized communication, and instant access to their financial information across every channel. The credit union was losing younger members to digital first competitors and fintech alternatives that offered superior user experiences.
Over the next eight months, Vivify partnered with this credit union to modernize their entire member engagement infrastructure. The results were significant: member satisfaction scores increased 28 percent, digital adoption among existing members grew 45 percent, and the credit union achieved a 31 percent return on their technology investment within the first year.
The Legacy Technology Challenge
The credit union was running a core banking platform that had been installed over a decade ago. While it handled transactions reliably, it offered no modern API connectivity, no real time data access for staff, and no integration with contemporary marketing or communication tools. Member data existed in silos. The lending team had their own system. The marketing team maintained a separate email list. Branch staff relied on a different interface to look up member information. None of these systems talked to each other.
For member communication, the credit union relied on batch email sends through a basic email service provider. Every member received the same monthly newsletter regardless of their products, life stage, or engagement history. There was no segmentation, no personalization, and no automation. The marketing team spent most of their time on manual tasks rather than strategy.
The credit union had no CRM. Member relationships were managed through institutional knowledge. When a longtime member called the contact center, the representative had no consolidated view of that member’s history, products, recent interactions, or potential needs. Every conversation started from scratch.
The Digital Transformation Strategy
Vivify designed a phased transformation strategy built around three pillars: a modern CRM as the single source of truth for member data, AI powered tools to enhance both staff productivity and member experience, and integrated communication channels that would deliver personalized engagement at scale.
We selected Salesforce Financial Services Cloud as the CRM platform. While HubSpot is our recommendation for many B2B companies, Salesforce Financial Services Cloud is purpose built for banking and credit union environments. It understands financial products, household relationships, regulatory requirements, and the specific workflows that financial institutions need.
The implementation was designed to be minimally disruptive. We worked in phases, starting with the CRM foundation and layering in AI capabilities and marketing automation as the team became comfortable with each new capability.
Salesforce Financial Services Cloud Implementation
The CRM implementation was the foundation of everything that followed. We configured Salesforce Financial Services Cloud to provide every staff member with a complete, real time view of each member’s relationship with the credit union.
Member 360 View
Every member now has a unified profile that includes all deposit accounts, loan products, credit cards, investment accounts, recent transactions, communication history, service cases, and life events. When a member calls or walks into a branch, the staff member can see the complete picture in seconds. This transformed the quality of every member interaction.
We also built household relationship mapping, so staff can see the full family relationship and identify opportunities to serve the entire household rather than just the individual member.
Automated Workflows
We built automated workflows for the most common member journeys. When a member opens a new checking account, the system automatically triggers a welcome sequence, schedules a follow up call from their assigned relationship manager, and flags cross sell opportunities based on their profile. When a certificate of deposit is approaching maturity, the system alerts the relationship manager 30 days in advance so they can proactively reach out with renewal options.
Loan application workflows were similarly automated. When a member submits a loan application online, the system routes it to the appropriate lending officer, triggers an acknowledgment message to the member, and begins pulling relevant data for the underwriting process.
AI Integration for Member Intelligence
We implemented several AI capabilities that enhanced both staff productivity and member experience. The first was predictive analytics for member needs. Using historical data from the core banking platform, we built models that predict which members are most likely to need specific products at specific times. A member who recently purchased a home is flagged as a candidate for home equity products. A member whose children are approaching college age is flagged for education savings conversations.
The second AI implementation was a conversational AI assistant for the contact center. When members call with routine questions about account balances, transaction history, or branch hours, the AI assistant handles these interactions without human intervention. This reduced contact center call volume by 22 percent and freed human agents to focus on complex member needs that require empathy and judgment.
The third was AI powered document processing for loan applications. The system now automatically extracts relevant information from uploaded documents like pay stubs, tax returns, and bank statements, reducing the manual data entry burden on lending staff and accelerating the application review process.
Sandler Training for Member Facing Staff
Technology alone does not transform member relationships. We partnered with the credit union to deliver Sandler sales methodology training to all member facing staff, including branch managers, relationship managers, and contact center agents. The Sandler approach is particularly well suited to credit unions because it emphasizes consultative, needs based conversations rather than aggressive product pushing.
Staff learned how to identify member needs through open ended discovery conversations, how to present solutions in terms of member benefits rather than product features, and how to handle objections with confidence. The training was reinforced with weekly coaching sessions and role play exercises using real member scenarios.
Marketing Automation and Personalized Communication
We replaced the credit union’s batch email approach with a sophisticated marketing automation platform integrated directly with Salesforce. Every communication is now personalized based on the member’s products, life stage, engagement history, and predicted needs.
New member onboarding sequences are tailored to the specific products the member opened. A member who opened a checking account receives different content than a member who took out an auto loan. Each sequence is designed to deepen the relationship, introduce relevant additional services, and drive digital adoption.
We also implemented triggered communications based on member behavior. When a member checks mortgage rates on the website but does not apply, the system triggers a personalized follow up from a lending officer. When a member’s direct deposit pattern changes, suggesting a job change, the system flags an opportunity for a financial wellness conversation. These behavioral triggers transformed the credit union’s ability to be proactive rather than reactive in member engagement.
The Results: Member Centric Digital Transformation
Eight months after the initial implementation began, the credit union’s transformation was measurable across every key metric.
Member satisfaction scores, measured through quarterly surveys, increased 28 percent. Members specifically cited improved digital tools, more personalized communication, and staff who seemed to understand their needs better.
Digital adoption among existing members grew 45 percent. Mobile banking enrollment increased significantly, and the percentage of members using digital channels for routine transactions nearly doubled.
Cross sell ratios improved from 1.8 products per member to 2.4 products per member. Staff were identifying and presenting relevant opportunities more effectively, and members were responding because the recommendations felt genuinely helpful rather than scripted.
The credit union achieved a 31 percent return on their technology investment within the first 12 months, driven by increased product adoption, reduced operational costs from automation, and lower member attrition.
Contact center efficiency improved dramatically. The AI assistant handled 22 percent of routine calls, and human agents reported spending more time on meaningful member conversations and less time on repetitive inquiries.
Frequently Asked Questions
How long did the full implementation take from start to finish?
The full engagement spanned eight months from initial discovery to steady state operations. The Salesforce CRM was operational within three months. AI capabilities were layered in during months four and five. Marketing automation and Sandler training ran in parallel during months three through six. The final two months focused on optimization, staff coaching, and ensuring all systems were performing as expected.
Was the core banking platform replaced?
No. The core banking platform remained in place. We built integration layers between the core system and Salesforce so that member data flows automatically between systems. This approach minimized disruption and allowed the credit union to preserve their existing transaction processing infrastructure while adding modern engagement capabilities on top.
How did members respond to the AI powered contact center?
Member response was overwhelmingly positive. The AI assistant handles routine inquiries quickly and accurately, and members appreciate not waiting on hold for simple questions. For complex needs, members are seamlessly transferred to a human agent who already has context about the member and the reason for their call. The key was designing the AI experience to feel helpful and natural rather than robotic or frustrating.
Can this approach work for smaller credit unions?
Absolutely. While the specific platform choices might differ for smaller institutions, the strategy of centralizing member data in a modern CRM, layering in AI capabilities, and training staff in consultative engagement applies to credit unions of any size. Smaller credit unions may choose more cost effective CRM options or start with fewer AI capabilities, but the foundational approach is the same. We have worked with institutions ranging from $200 million to over $2 billion in assets.


