Case study
How a financial services firm improved lead qualification with AI
A B2B financial services firm used Squirrels.ai to automate prospect outreach, qualify leads, and generate meetings across healthcare, manufacturing, and distribution. The solution streamlined multi-channel engagement, improved follow-up consistency, and reduced manual sales workload.
Scalable outreach
AI manages multi-channel engagement across target accounts
Better qualification
Prospects are screened before sales meetings
Consistent follow-up
AI maintains outreach without manual chasing
Overview
A B2B financial services firm with decades of experience in financial services, fintech, payments, and business financing was looking to strengthen its approach to new customer acquisition.
The company served businesses across healthcare, manufacturing, and distribution, offering a combination of payment processing, accounts receivable automation, working capital financing, equipment financing, and lending solutions.
As its market strategy evolved, the company wanted to place greater emphasis on payment technology and accounts receivable automation while continuing to serve businesses seeking working capital.
This repositioning created an opportunity to build a more focused outbound sales process. However, the existing approach depended heavily on referral relationships, third-party prospecting databases, and manual communication.
The sales team needed to identify businesses that were likely to benefit from its services, start conversations, qualify their needs, and schedule meetings. Managing these activities manually limited the number of prospects the team could consistently engage.
The firm partnered with Squirrels.ai to introduce an AI Sales Development Representative that could automate early-stage prospect engagement while allowing human sales professionals to focus on qualified opportunities.
The AI SDR was configured to use multi-channel outreach across email, phone, and SMS, with qualification criteria and messaging customized around the firm’s target markets and services. Squirrels.ai’s AI SDR is designed to continue outreach until a defined goal such as a meeting, demo, or signup is achieved.
Client at a glance
Industry
B2B financial services and payment technology
Primary challenge
Scaling prospect outreach and qualification
Target markets
Healthcare, manufacturing, and distribution
Existing acquisition channels
Referral partners and prospecting databases
AI solution implemented
AI SDR for multi-channel outreach, qualification, and meeting booking
The challenge
A changing business strategy required a stronger sales engine
The firm was repositioning its business around payment processing and accounts receivable automation while maintaining working capital solutions as an important part of its offering.
This meant the company needed to reach new types of B2B prospects with more focused messaging.
Rather than relying primarily on existing referral relationships, the team wanted to develop a repeatable outbound channel that could identify businesses with relevant needs and introduce the firm’s services at the right time.
The shift required more than simply increasing the number of contacts. Prospects needed to receive messaging relevant to their business situation and be qualified before sales resources were committed.
Manual outreach limited prospecting capacity
The company’s sales process involved communicating with prospects through different channels.
Team members needed to identify potential customers, initiate conversations, follow up, answer initial questions, and coordinate meetings.
As the number of prospects increased, these repetitive tasks consumed time that could otherwise be spent on qualified conversations and relationship development.
The company needed a way to maintain consistent outreach without requiring sales representatives to manually manage every interaction.
Qualification was critical
Not every business contacted by the company was an appropriate prospect.
The firm needed to understand factors such as company size, business needs, and interest in specific financial services before investing significant sales time.
For example, a company looking for working capital could require a very different conversation from one seeking payment processing or accounts receivable automation.
The AI therefore needed to do more than send generic messages. It needed to understand the qualification criteria defined by the business and identify prospects who were more likely to become meaningful opportunities.
Referral dependence limited outbound control
Referral relationships were an important source of business, but relying heavily on partners limited the company’s control over its own prospecting pipeline.
The firm wanted to supplement referrals with an owned outbound channel.
Building this capability internally would normally require additional sales development resources, training, management, and ongoing follow-up.
AI provided an opportunity to create that outbound motion without immediately expanding the human team.
Messaging needed to reflect multiple services
The company offered several financial products and services, making generic sales messaging less effective.
Its outreach needed to reflect the specific problems faced by businesses in its target sectors.
The team wanted control over the AI’s messaging, objection handling, and responses so that prospects would receive relevant information rather than standardized sales pitches.
The solution
Squirrels.ai implemented an AI SDR workflow designed around the firm’s target markets, services, qualification criteria, and sales goals.
The system was introduced as a sales development layer that handled repetitive prospecting activities while human team members remained responsible for qualified conversations.
Multi-channel prospect outreach
The AI SDR engaged prospects through:
- Phone calls
- SMS
Rather than relying on a single communication attempt, the firm could create structured sequences that continued over a defined period.
The outreach strategy could combine channels at different stages, helping the company maintain contact without requiring a salesperson to manually remember every follow-up.
Squirrels.ai supports customizable email, SMS, and call sequences and allows businesses to review outreach before launching campaigns.
Business-specific lead qualification
The AI was configured around the firm’s qualification requirements.
Instead of treating every response as an opportunity, the system could identify whether a prospect showed relevant interest and whether the business was a suitable fit.
Qualification could focus on factors such as:
- Business type
- Revenue or company profile
- Interest in working capital
- Payment processing requirements
- Accounts receivable challenges
- Readiness to discuss available solutions
This helped create a clearer distinction between general interest and sales-ready opportunities.
Customized messaging and objection handling
The company maintained control over the AI’s knowledge and communication style through editable business information and FAQ documentation.
The team could provide information about its services, target customers, common questions, and preferred responses.
This allowed the AI to communicate in a way that reflected the firm’s actual offerings.
As messaging was refined, the company could update its guidance and improve how the AI handled recurring prospect questions.
Automated meeting booking
When a prospect demonstrated genuine interest, the AI could move the conversation toward a meeting.
The system checked calendar availability and handled scheduling, reducing the need for sales representatives to exchange multiple messages simply to find an available time.
This created a smoother transition between initial outreach and human sales involvement.
Squirrels.ai’s AI SDR supports calendar-based meeting booking as part of its sales outreach workflow.
Context-aware follow-up
The AI retained context from previous interactions, allowing follow-up conversations to continue from where the previous communication ended.
This was particularly useful for prospects who did not respond immediately.
Instead of restarting the conversation with every follow-up, the AI could reference the existing interaction and continue the outreach sequence.
Flexible campaign configuration
The firm could customize its campaigns based on the target market and communication strategy.
Different sequences could be developed for businesses interested in:
- Payment processing
- Accounts receivable automation
- Working capital
- Equipment financing
- Business financing
The ability to adjust channels and messaging allowed the company to test different approaches rather than committing to a single outreach model.
Results and impact
The implementation created a more structured foundation for outbound business development.
Rather than immediately replacing the existing sales process, the company introduced automation gradually and used campaign activity and prospect responses to refine its approach.
Expanded outreach capacity
The AI SDR allowed the company to engage a larger prospect pool without requiring sales representatives to personally manage every initial interaction.
This created additional capacity for outbound activity while keeping human resources focused on prospects who demonstrated genuine interest.
More consistent follow-up
Automated sequences helped ensure prospects received follow-up according to the campaign strategy.
This reduced the dependency on individual sales representatives remembering when to contact prospects again.
Consistent follow-up also created a more predictable experience across campaigns.
More efficient qualification
By incorporating qualification criteria into the AI workflow, the firm could identify prospects who appeared more relevant before involving sales representatives.
This helped reduce time spent on conversations that did not match the firm’s target profile.
Better sales team focus
The AI handled much of the repetitive top-of-funnel activity.
Sales representatives could therefore spend more time on:
- Qualified meetings
- Business discovery
- Solution discussions
- Relationship building
- Closing opportunities
This shifted human effort toward activities where personal expertise was most valuable.
Stronger owned outbound channel
The firm created an additional source of business development beyond referrals and third-party prospecting platforms.
This gave the company greater control over how it reached target businesses and how frequently it maintained contact.
More visibility into prospect engagement
The platform provided analytics and conversation records that helped the company understand outreach activity and prospect responses.
The team could use this information to evaluate messaging, identify stronger-performing campaigns, and refine future outreach.
Squirrels.ai provides analytics and conversation visibility as part of its AI SDR workflow.
TESTIMONIAL
Why organizations choose Squirrels.ai
Squirrels.ai helps B2B financial services organizations create scalable sales development processes without relying entirely on manual prospecting.
Organizations use Squirrels.ai to:
- Automate cold and warm outreach
- Qualify prospects using custom criteria
- Engage prospects through email, phone, and SMS
- Maintain consistent follow-up
- Schedule qualified meetings
- Track prospect conversations
- Customize messaging and objection handling
- Build a scalable outbound sales channel
- Allow sales teams to focus on high-value conversations
Squirrels.ai’s AI SDR is designed for businesses that need to scale outbound prospecting while keeping human sales teams focused on meetings and opportunities.
Build a stronger outbound pipeline and turn more qualified prospects into sales conversations with AI.