Case study
How an ambulance transport provider explored AI to improve high-volume recruitment
An ambulance transport company handling around 185 calls each day explored how an AI Recruiter could help contact applicants, screen candidates, and schedule interviews without adding more administrative work for its hiring team.
24/7 outreach
for continuous candidate engagement
3 channels
calls, emails, and text messages
Faster interviews
with automated scheduling
Overview
A U.S.-based ambulance transport provider operates a large emergency medical services workforce across the Mid-Atlantic region and Florida. With around 45 to 68 ambulances on the road at any given time, the company needs a steady pipeline of qualified employees to support its inter-facility transportation services.
Like many EMS providers, the company faces regular employee turnover. Recruiters and hiring managers must constantly contact applicants, answer common questions, complete initial screening, and coordinate interviews while competing for a limited pool of qualified professionals.
The company met with Squirrels.ai to explore how AI could support several parts of its operations, including ambulance dispatch, recruitment, and payment collection.
During the discussion, both teams agreed that fully automating ambulance dispatch would be a complex and high-risk project. It would require deeper system integrations, careful testing, and continued human oversight.
Recruitment, however, stood out as a practical near-term opportunity. The Squirrels.ai AI Recruiter could help the company automate candidate outreach, pre-screen applicants, and schedule interviews while keeping hiring managers in control of final decisions.
Client at a glance
Industry
Ambulance transportation and emergency medical services
Primary service
Inter-facility ambulance transport
Operational footprint
Headquartered in the Mid-Atlantic region, with additional operations in Florida
Daily call volume
Approximately 185 transportation calls per day
Fleet size
Around 45 to 68 ambulances operating at any given time
Dispatch staffing
Two call takers and four dispatchers during regular Monday-to-Friday operations
Primary AI use case evaluated
AI-powered candidate outreach, screening, follow-up, and interview scheduling
The challenge
The company’s most immediate opportunity was not replacing its dispatchers or billing provider. It was creating a faster and more consistent recruitment process for a workforce affected by frequent turnover.
High employee turnover creates continuous hiring demand
Ambulance transportation providers require a steady supply of qualified personnel to keep vehicles staffed and maintain reliable operations.
When turnover is high, recruitment cannot operate as an occasional activity. The company must continually identify candidates, follow up with applicants, assess initial interest, and move suitable people into interviews.
Without a consistent outreach system, qualified candidates may be lost simply because the hiring team could not contact them quickly enough.
Candidate follow-up depends heavily on human availability
Recruiters and hiring managers may have to call applicants several times, send follow-up messages, answer similar questions, and coordinate calendars manually.
These repetitive tasks consume time that could otherwise be spent evaluating candidates, improving onboarding, or addressing urgent staffing needs.
Human outreach can also vary depending on workload, availability, and competing priorities. Some candidates may receive immediate attention, while others may experience delays that reduce their interest in the position.
Interview scheduling adds another administrative step
Even after a candidate expresses interest, the hiring team must find an available interview time and communicate it to everyone involved.
Back-and-forth scheduling can slow the process and create unnecessary candidate drop-off. In a competitive employment market, even a small delay can give another employer time to hire the candidate first.
Dispatch automation involves significant operational risk
The company was also interested in reducing the manual effort involved in call taking and ambulance dispatch.
Its current process requires call takers to collect hospital information, patient details, transportation requirements, and contract-specific conditions. Dispatchers then review vehicle availability, assign an ambulance, communicate with crews, and monitor real-time operational changes.
A fully automated system would need to consider:
- Patient and transportation details
- Hospital requirements
- Contractual service conditions
- Ambulance availability
- Crew status and qualifications
- Geographic location and travel time
- Real-time GPS information
- Schedule changes and emergency exceptions
Because an incorrect dispatch decision could affect patient transportation and safety, both teams agreed that AI should support human dispatchers rather than independently control critical decisions.
Payment collection offered limited immediate value
Squirrels.ai also demonstrated an AI AR Collections Specialist capable of calling, emailing, and texting customers about unpaid invoices.
The company responded positively to the AI agent’s natural conversation, immediate text follow-up, and ability to record outcomes such as payment promises. However, private-pay patients represented only a limited portion of the company’s billing volume, and most collection activity was already handled by an external billing service.
Recruitment therefore offered a clearer and more immediate opportunity for automation.
The solution
Squirrels.ai proposed an AI Recruiter configured to help the company engage applicants consistently across phone, email, and text.
Instead of replacing the hiring team, the agent would manage repetitive early-stage recruitment activities and route qualified, interested candidates to the appropriate hiring manager.
Automated candidate outreach
The AI Recruiter can contact candidates from the company’s existing recruitment pipeline using coordinated phone calls, emails, and SMS messages.
The agent can introduce the opportunity, confirm whether the candidate is interested, and continue following up according to a predefined outreach sequence.
This gives every applicant a consistent level of engagement without requiring a recruiter to manually complete every interaction.
Initial candidate screening
The AI agent can ask role-specific screening questions before the candidate reaches a hiring manager.
Depending on the position, these questions may cover:
- Current employment status
- Relevant EMS experience
- Required licenses or certifications
- Preferred location
- Shift availability
- Compensation expectations
- Earliest possible start date
- Willingness to complete additional screening requirements
Candidate responses can then be summarized for the hiring team, helping recruiters focus their attention on applicants who meet the basic requirements.
Direct interview scheduling
When an interested candidate meets the initial criteria, the AI Recruiter can connect with the hiring manager’s calendar and offer available interview times.
The candidate can select a suitable time during the same conversation, eliminating unnecessary scheduling emails and delays.
This creates a more direct path from application to interview.
Consistent communication at scale
The AI Recruiter follows the same approved process during every interaction. It does not become tired, overlook follow-ups, or change its communication style because of workload.
Scripts, frequently asked questions, screening criteria, and response guidelines can be customized to reflect the company’s recruitment process and employer brand.
The agent can also respond dynamically when candidates ask questions rather than relying solely on rigid, prerecorded scripts.
Integration with the existing recruitment workflow
The proposed recruitment agent could work alongside the company’s current systems rather than requiring an immediate platform replacement.
Potential integrations include:
- Indeed for candidate sourcing and applicant information
- Hiring managers’ calendars for interview scheduling
- Internal knowledge documents for job information and frequently asked questions
- Squirrels.ai dashboards for call recordings, transcripts, outcomes, and candidate status
The exact integration approach would depend on available APIs, system permissions, and the company’s preferred workflow.
Human control remains central
The AI Recruiter would handle repetitive communication and coordination, but hiring managers would continue to control candidate evaluation, interviews, employment decisions, and final approvals.
This human-in-the-loop model allows the company to gain efficiency without giving up oversight of important workforce decisions.
A phased approach to dispatch automation
For dispatch operations, Squirrels.ai recommended beginning with assistive capabilities rather than attempting complete automation.
Potential future applications could include:
- Transcribing and summarizing incoming hospital calls
- Extracting patient and transportation details
- Identifying missing information for the call taker
- Organizing contract-specific transportation requirements
- Recommending available ambulances based on defined criteria
- Displaying relevant information to dispatchers
- Maintaining an audit trail of recommendations and decisions
Their existing API’s capabilities could support future integration, but additional technical evaluation would be required to determine how real-time GPS, vehicle status, contract rules, and dispatch data could be safely connected.
Final ambulance assignments would remain under human control.
Results and impact
The company had not implemented the Squirrels.ai platform at the time of the initial demo. However, the discussion identified several areas where an AI Recruiter could create measurable operational improvements.
Faster candidate engagement
Candidates could be contacted shortly after entering the recruitment pipeline instead of waiting for a recruiter or hiring manager to become available.
Faster outreach may help the company connect with qualified EMS professionals before competing employers do.
More consistent follow-up
Every applicant could receive an approved sequence of calls, emails, and text messages.
This would reduce the likelihood that candidates are overlooked because of recruiter workload or incomplete follow-up.
Less repetitive work for the hiring team
The AI Recruiter could handle initial outreach, routine questions, basic screening, and calendar coordination.
Recruiters and hiring managers could then spend more time assessing candidates and making hiring decisions.
A shorter path from application to interview
Qualified candidates could move directly from screening to a scheduled interview during a single AI-led conversation.
Reducing delays between these stages may improve candidate participation and lower recruitment drop-off.
Greater visibility into recruitment activity
The company could review candidate interactions, call transcripts, outreach results, screening responses, and interview bookings from one dashboard.
This would give the hiring team a clearer view of where each candidate stands and which outreach sequences are performing effectively.
A safer approach to operational automation
The dispatch discussion helped establish an important boundary for future AI deployment: automation should reduce administrative effort without removing human control from safety-critical decisions.
A phased, assistive approach would allow the company to explore dispatch efficiency while prioritizing accuracy, accountability, and patient safety.
TESTIMONIAL
Why companies choose Squirrels.ai
Squirrels.ai provides AI agents that communicate through calls, emails, and text messages to help businesses manage repetitive, high-volume workflows.
For ambulance providers and other healthcare transportation companies, the platform can offer:
- An AI Recruiter that contacts and follows up with candidates across multiple communication channels
- Configurable screening questions based on licenses, experience, availability, and location
- Direct interview scheduling through hiring managers’ calendars
- Custom knowledge bases containing job details, FAQs, policies, and company information
- Consistent, professional communication during every candidate interaction
- Conversation recordings, transcripts, outcomes, and candidate-status visibility
- Integration possibilities with existing recruitment and HR systems
- Human oversight for interviews, hiring decisions, and sensitive workflows
- Custom AI development for more complex operational use cases
- A phased approach that begins with practical opportunities where implementation risk is lower and ROI is clearer
Turn every applicant into an opportunity with faster outreach, automated scheduling, and less work for your hiring team.