Case study
How a vocational school improved tuition collections with AI
A vocational education institution implemented Squirrels.ai to automate tuition payment follow-ups, improve student communication, and create a more efficient accounts receivable workflow.
Before adopting AI, the institution relied on manual calls, emails, and other outreach methods to manage outstanding tuition payments. With a busy accounts receivable team and increasing administrative demands, maintaining consistent communication with every student became challenging.
By gradually introducing Squirrels.ai, the institution automated routine payment reminders, improved visibility into student responses, reduced manual collection efforts, and created a more scalable approach to managing tuition communication while keeping staff involved in complex situations.
Improved payment communication
AI engages students across multiple channels
Reduced AR workload
Automated reminders save staff time
Better payment visibility
Real-time tracking of outreach outcomes
Overview
A vocational education institution wanted to improve its tuition collection process by creating a more consistent and student-friendly approach to payment communication.
The institution managed tuition payments from students enrolled in career-focused educational programs. Like many education providers, its accounts receivable team needed to balance two priorities: improving payment collection outcomes while maintaining positive student relationships.
The existing process depended heavily on manual communication. Team members used phone calls, emails, and other outreach methods to remind students about outstanding balances and help them understand available payment options.
While this approach worked, it required significant staff time and made it difficult to maintain consistent follow-up across a large number of student accounts.
The institution also wanted better visibility into collection activity. The team needed to understand which students had been contacted, how they responded, which payment methods worked best, and where additional follow-up was required.
The institution partnered with Squirrels.ai to implement an AI AR Collections Specialist and AI-powered accounts receivable workflow. The AI Collections Agent helped automate student outreach through multiple channels, track responses, provide payment information, and escalate complex cases to staff members.
The implementation followed a phased approach, allowing the team to customize communication sequences, review AI interactions, and introduce automation without disrupting existing processes.
Client at a glance
Industry
Higher education and vocational training
Primary challenge
Managing student payment communication at scale
Business model
Tuition-based educational programs
Existing process
Manual calls, emails, and payment follow-ups
AI solution implemented
AI-powered tuition collection and student engagement automation
The challenge
Manual payment follow-ups consumed staff time
The institution’s accounts receivable team managed outstanding tuition balances through manual outreach.
This included sending reminders, making calls, answering student questions, and following up on payment commitments.
While personal communication was important, repetitive follow-up activities created additional workload for the team.
The institution needed a solution that could handle routine communication while allowing staff members to focus on more complex student situations.
Difficulty reaching students through preferred channels
Students communicate differently depending on their preferences.
Some respond better to emails, while others are more likely to engage through text messages or phone conversations.
The institution needed a flexible communication approach that could reach students through multiple channels rather than relying on a single method.
A more effective outreach strategy required the ability to adapt communication sequences based on student engagement patterns.
Limited visibility into collection performance
The institution wanted better insight into its payment outreach efforts.
The team needed visibility into:
- Number of students contacted
- Student responses
- Payment commitments
- Completed payments
- Preferred communication channels
Without detailed tracking, understanding which strategies produced better outcomes was more difficult.
The institution needed analytics that could help improve future collection campaigns.
Limited team capacity
The accounts receivable team was already managing multiple responsibilities.
Introducing new technology also needed to be handled carefully because the team did not want additional complexity or disruption.
The institution preferred a gradual implementation approach that allowed employees to adapt and provide feedback throughout the process.
Previous concerns about AI communication
The institution had previously experienced concerns with AI phone solutions that did not provide a positive customer experience.
Because student communication requires trust and professionalism, the institution wanted to ensure any AI implementation felt natural and helpful.
The solution needed to maintain human oversight and provide escalation options when conversations required personal attention.
The solution
Squirrels.ai implemented an AI-powered tuition collection workflow designed to automate student communication while maintaining a human-centered approach.
The AI system supported the accounts receivable team by managing routine interactions and providing better visibility into payment activity.
AI-powered student payment outreach
The AI Collections Agent automated communication with students regarding outstanding tuition balances.
The system could engage students through multiple channels, including:
- SMS
- Phone calls
- Web chat
Instead of relying entirely on manual outreach, the institution created automated communication sequences that reminded students about payments and provided assistance when needed.
The AI handled common questions while escalating more complex situations to staff members.
Customized communication workflows
The institution maintained control over how the AI communicated with students.
The system could be customized using institution-specific information, policies, scripts, and frequently asked questions.
This allowed the AI to maintain a communication style aligned with the institution’s approach.
The team could create different outreach strategies depending on payment situations, student responses, and communication preferences.
Flexible data integration
The institution had flexibility in how student payment information could be provided to the AI system.
The platform supported integration options as well as simpler data upload methods.
This allowed the institution to begin automation without requiring a complex technical implementation.
The phased approach helped the team evaluate results before expanding usage.
Payment status tracking and analytics
The AI platform provided visibility into student outreach performance.
The team could monitor:
- Active payment campaigns
- Student responses
- Payment commitments
- Completed payments
- Communication outcomes
These insights helped the institution understand campaign effectiveness and prioritize follow-up efforts.
Human escalation for complex situations
The AI system was designed to support staff members, not replace them.
When students had disputes, unique circumstances, or questions requiring personal assistance, conversations could be escalated to appropriate team members.
This ensured students received the right level of support while allowing AI to handle routine communication.
Future customer support expansion
During the implementation discussions, the institution also explored future opportunities for AI-powered inbound support.
An AI receptionist could eventually help manage incoming student questions, appointment requests, and general inquiries.
However, the institution prioritized tuition communication first to ensure a smooth adoption process.
Results and impact
The implementation of Squirrels.ai created progressive improvements across tuition communication, accounts receivable efficiency, and student engagement.
The institution expanded automation gradually, refining workflows based on team feedback and student responses.
More consistent student communication
The AI system helped the institution maintain regular communication with students regarding outstanding balances.
Instead of depending only on manual follow-ups, students received timely reminders through channels that matched their communication preferences.
This created a more consistent payment engagement process.
Reduced repetitive AR workload
Routine reminders and common payment-related conversations were automated.
The accounts receivable team spent less time managing repetitive outreach and more time handling complex student situations.
This improved productivity while maintaining personalized support where it mattered most.
Better visibility into payment activity
The institution gained clearer insight into student responses and collection progress.
Tracking communication outcomes helped the team identify:
- Students who needed additional support
- Payment commitments
- Successful outreach channels
- Cases requiring staff involvement
This improved decision-making and workflow management.
Improved student experience
The AI workflow created a faster and more accessible communication process.
Students could receive answers to common questions and payment guidance without waiting for staff availability.
At the same time, human support remained available for situations requiring additional assistance.
Scalable tuition management process
The institution created a stronger foundation for managing future growth.
By combining AI automation with staff expertise, the team could handle more communication activity without increasing administrative workload.
TESTIMONIAL
Why organizations choose Squirrels.ai
Squirrels.ai helps educational institutions automate payment communication while improving student engagement.
Organizations use Squirrels.ai to:
- Automate tuition reminders
- Improve payment follow-ups
- Engage students across multiple channels
- Track collection activity
- Reduce AR workload
- Handle common payment questions
- Escalate complex cases
- Improve communication efficiency
- Scale student support operations
Improve tuition communication, reduce administrative workload, and create a smarter payment experience with AI.