AI Phone Agents for Temporary Staffing Agencies: Never Lose a Candidate or Client to an Unanswered Call

Article Summary: This article explains why temporary staffing agencies miss a disproportionate share of high-value calls - from client companies placing urgent staffing orders to job-seeking candidates who will not wait on hold. It maps the three distinct types of inbound callers that staffing agencies deal with daily, quantifies the gross profit impact of a single missed client order, and shows how AI phone agents handle all three caller types simultaneously, 24/7. Includes a detailed three-caller-type reference table, a gross profit impact calculation, a realistic light industrial agency case study, an 11-function comparison table, and a complete implementation guide.

Key Highlights

•       Temporary staffing agencies handle three distinct types of inbound callers simultaneously - client companies, job-seeking candidates, and placed workers - each with different needs and different urgency levels.

•       A single missed call from a client company placing a 30-worker seasonal order can cost a staffing agency more than $85,000 in gross profit over the duration of the assignment.

•       Job seekers call multiple agencies at the same time. The agency that answers first gets the placement opportunity. The ones that don't answer lose the candidate permanently.

•       Placed workers generate a high volume of repetitive inbound calls for shift confirmation, paycheck status, and schedule changes - calls that consume recruiter time without adding billable value.

•       AI phone agents handle all three caller types simultaneously, 24/7, capturing structured intake data, routing priority calls, and freeing recruiters to focus on placements and client relationships.

•       Multilingual support is especially valuable for light industrial and hospitality staffing agencies, where the worker population is linguistically diverse.

•       Staffing agencies that implement voice AI report fewer missed placement opportunities, faster candidate registration, and meaningful reductions in recruiter time spent on non-billable call handling.

Table of Contents

•       The Dual Marketplace Challenge: Two Sides, One Missed Call Problem

•       Why Temporary Staffing Agencies Miss So Many Calls

•       The Three Types of Inbound Calls Every Staffing Agency Handles

•       The Gross Profit Cost of a Single Missed Client Order

•       7 Ways AI Phone Agents Transform Temporary Staffing Operations

•       Case Study: A Light Industrial Staffing Agency During Q4 Peak Season

•       Traditional Phone Handling vs. AI Phone Agent: Side-by-Side Comparison

•       How to Implement Voice AI at Your Staffing Agency

•       Common Mistakes Staffing Agencies Make with Call Management

•       Best Practices for Staffing Agency Voice AI

•       Future Trends: AI in Temporary Staffing and Workforce Management

•       Frequently Asked Questions

•       Conclusion

Introduction

It is 4:45 PM on a Wednesday in October. A warehouse operations manager at a regional distribution company just found out that a competitor has poached three of their key temp workers ahead of the holiday rush. They need 15 reliable forklift operators starting Monday. They pick up the phone and call three staffing agencies.

The first agency's line rings five times and goes to voicemail. The second is immediately answered by an AI agent that takes the full order details, confirms the skill requirements, and schedules a callback with an account manager for Thursday morning. The third agency eventually connects them with a recruiter who is clearly distracted and takes incomplete notes.

On Thursday, the second agency's account manager calls back with a shortlist of qualified candidates. The contract is signed by noon. The first agency never returns the voicemail. The third sends a follow-up email three days later.

This is how staffing contracts are won and lost. Speed and professionalism at the moment of first contact determine the outcome - not the quality of the recruiter database or the depth of the agency's experience.

Temporary staffing is a relationship business built on urgency. Client companies with a staffing need cannot always wait until tomorrow. Candidates looking for immediate work will call whoever answers. Placed workers with payroll questions need answers quickly or they call their employer directly, bypassing the agency entirely.

This article explains the specific call management challenge that staffing agencies face, why it costs more than most agency owners realize, and how AI phone agents solve it across all three types of inbound callers at once.

The Dual Marketplace Challenge: Two Sides, One Missed Call Problem

Most industries that struggle with missed calls have one type of inbound caller to worry about. A law firm misses inquiries from prospective clients. A hotel misses reservation calls. A real estate agency misses property inquiries.

Temporary staffing agencies are different. They operate a two-sided marketplace, which means they are managing two separate customer relationships simultaneously: the client companies that need workers, and the candidates who become those workers. Both sides call the agency. Both sides have urgent needs. Both sides will go elsewhere if they reach voicemail.

And layered on top of both of those is a third caller type: placed workers who are already on assignment and have ongoing operational questions. This three-way call dynamic creates a uniquely demanding call management environment.

Getting the phone handled well - for all three groups, consistently, at any hour - is not a staffing problem. It is a systems problem. And it is one that AI phone agents are specifically designed to solve.

Why Temporary Staffing Agencies Miss So Many Calls

The structural reason staffing agencies miss calls is straightforward: their most skilled communicators - the recruiters - are always on the phone. They are conducting candidate phone screens, building relationships with client HR managers, confirming shift schedules, and coordinating job offers. When a new call comes in during any of these conversations, it waits.

But the problem goes beyond line availability. Here is how the coverage gap builds across a typical staffing agency:

•       Recruiters conduct phone screens throughout the morning and afternoon, making new inbound calls go to voicemail or ring through without being answered.

•       Candidates looking for immediate work assignments call during their lunch breaks, after their current job ends for the day, and on weekends - times when the agency office is often unstaffed.

•       Client companies place new staffing orders when the need arises, not during agency business hours. An urgent Friday afternoon call for weekend workers is common.

•       Placed workers call during shift transitions - early mornings and late afternoons - to confirm schedules or report absences, outside the typical recruiter workday.

•       During peak hiring seasons, every recruiter is managing 20-40 active placements simultaneously. Adding new intake calls to that workload breaks down quickly.

Research from Alliance Virtual Offices indicates that small businesses miss between 40% and 62% of incoming calls. For a staffing agency managing three distinct caller groups with different urgency levels, the real-world missed call rate during peak periods is likely at the high end of that range - or above it.

The compounding effect is significant. Missed calls from candidates mean fewer qualified workers in the pool. Fewer workers in the pool means slower fill times. Slower fill times means unhappy clients. Unhappy clients go to competitors for the next order. The entire revenue chain starts with a phone call that was not answered.

The Three Types of Inbound Calls Every Staffing Agency Handles

Before looking at how AI phone agents solve the problem, it helps to be precise about what a staffing agency's phone actually receives. The table below breaks down the three caller groups, what each one needs, and how an AI phone agent handles each type.

This table illustrates something important: the three caller types have very different escalation thresholds. Most client orders, candidate registrations, and worker status inquiries can be handled entirely by a well-configured AI phone agent. The calls that genuinely require a recruiter's judgment - urgent same-day fills, safety concerns, complex negotiations - are a small subset of total inbound volume. Everything else is repeatable, structured, and automatable.

The Gross Profit Cost of a Single Missed Client Order

In retail or services, a missed call might cost a few hundred dollars. In temporary staffing, a single missed client order call can eliminate tens of thousands of dollars in gross profit from the company's quarterly results.

The table below illustrates the gross profit impact of missing just one call from a client company placing a 30-worker light industrial order. The figures are illustrative and based on typical industry margin structures - actual results depend on the order size, pay rates, assignment duration, and your specific markup.

Note: These figures are illustrative. Staffing agency markup rates vary by sector, geography, and client relationship - typically ranging from 25% to 50% for light industrial temporary placements. Assignment duration also varies. Use your own figures for an agency-specific calculation.

The revenue model makes the math unambiguous. Three missed client order calls during a single peak season - each involving a seasonal assignment of modest scope - can represent more than $250,000 in gross profit that the agency never earned. That is revenue that went directly to a competitor who answered their phone.

The candidate side compounds this loss. If a missed call from a job seeker means that candidate registered with a competing agency instead, the original agency also loses the placement fee that worker would have generated - repeatedly, over the course of their working relationship with that competing firm.

7 Ways AI Phone Agents Transform Temporary Staffing Operations

The right AI phone agent for a staffing agency does not behave like a simple answering service. It acts as a front-line intake coordinator - one that knows the difference between a new client order, a candidate registration, and a worker payroll question, and handles each one appropriately. Here is what that looks like in practice.

1. 24/7 Candidate Intake and Registration

Candidates looking for temporary work do not call during business hours because they are usually working, or looking for work, during those hours. The highest-volume windows for candidate calls are evenings, weekends, and mornings before 9 AM - exactly the times when most staffing agency offices are closed or unstaffed.

An AI phone agent answers every candidate call immediately, regardless of the hour. It opens a structured registration conversation, gathering:

•       Full name and contact information

•       Skills, certifications, and work history relevant to open roles

•       Preferred shift type (days, evenings, nights, weekends)

•       Location and transportation availability

•       Earliest available start date

At the end of the call, the candidate's profile is created in the ATS, tagged with the relevant skills and availability flags, and a registration appointment is booked if an in-person or video interview is required. The recruiter arrives in the morning with a set of completed candidate profiles ready for review rather than a list of missed calls to return.

This matters for placement speed. Candidates who register with multiple agencies simultaneously will accept the first offer they receive. An agency that captures the candidate's availability at 8 PM on a Sunday and has a recruiter review their profile at 8 AM on Monday is ahead of every agency that did not pick up the phone.

2. Automated Client Staffing Order Capture

When a client company calls to place a new staffing order, the information required to act on it quickly is specific: the role, the required skills and certifications, the start date, the expected duration, the shift schedule, the number of workers, the pay rate agreed to, and the name of the decision-maker placing the order.

An AI phone agent configured for client order intake captures all of this in a single call. Rather than taking a message or attempting a rushed conversation during a busy period, the AI leads the caller through a structured order intake that feels professional and efficient. The completed order record is in the CRM before the call ends.

For clients placing orders outside business hours - a common occurrence when a production floor supervisor identifies a staffing gap after the agency has closed for the day - this kind of 24/7 order capture can be the difference between being the agency that fills the order and being the one that finds out about it on Monday morning.

3. Shift Confirmation and Assignment Automation

One of the highest-volume, lowest-value call types in any staffing agency is the shift confirmation call. Workers calling to confirm their assignment start time, location address, dress code, or supervisor contact - details that are already in the scheduling system - consume a disproportionate amount of recruiter time during the week before an assignment begins.

With an AI phone agent integrated with your scheduling platform, these calls become self-service. The worker calls, identifies themselves, and the AI pulls their assignment details and delivers them accurately. No recruiter involvement needed. No interruption to active recruiting work.

For agencies managing 200 or 300 placed workers simultaneously - not unusual for a mid-sized light industrial or hospitality staffing firm during peak season - eliminating shift confirmation call handling from the recruiter's workload recovers multiple hours of productive time per day.

4. Worker Status, Payroll, and Schedule Update Handling

Beyond shift confirmation, placed workers regularly call to ask about timesheet submission deadlines, pay dates, whether their last check was processed, and how to report an absence. These are important questions that deserve a prompt answer, but they are administrative in nature and do not require a recruiter's judgment to resolve.

An AI phone agent with CRM and payroll system integration can handle a substantial share of these inquiries automatically. A worker who calls to ask when their paycheck will arrive gets an accurate, immediate answer without waiting on hold or leaving a voicemail. A worker reporting an absence is logged in the system and the relevant client site is notified through an automated process.

For placed workers, this responsiveness builds trust and improves retention. Workers who can get quick answers to administrative questions from their staffing agency are less likely to feel ignored and more likely to accept the next assignment offered to them.

5. Multilingual Candidate and Worker Support

In light industrial, food processing, hospitality, and agricultural staffing - sectors that represent a large share of the temporary workforce - candidate and worker populations are frequently multilingual. Spanish is the most common non-English language, but depending on geography, an agency may regularly interact with candidates and workers who speak Portuguese, Haitian Creole, Somali, Vietnamese, or a dozen other languages.

An AI phone agent with multilingual support allows a candidate who speaks limited English to complete a full registration in their native language. A worker who is more comfortable asking about their paycheck in Spanish gets that same quality of service without needing a bilingual recruiter to be available at that moment.

This is not just a convenience feature. It directly affects the agency's ability to build and maintain a diverse worker pool. An agency that candidates can actually communicate with clearly - regardless of the hour or the language - will consistently attract a broader and more reliable talent pipeline than one that relies on English-only call handling.

6. Peak Season Overflow Handling

Every staffing agency has a peak season. For light industrial and retail staffing, it is Q4 - October through December, when distribution centers, retail chains, and fulfillment operations scale up dramatically for the holiday period. For agricultural staffing, it is harvest season. For tax and accounting support staffing, it is January through April.

During these windows, inbound call volume spikes exactly when recruiter capacity is most constrained. Every recruiter is managing more active placements, more client relationships, and more candidate communication than at any other point in the year. The gap between call volume and call-handling capacity is at its widest.

An AI phone agent acts as a force multiplier during these peaks. It handles every overflow call - from the tenth simultaneous candidate registration to the client order that comes in at 6 PM Friday - without requiring additional staff, without hold times, and without a single caller reaching voicemail. When the team is most stretched, the AI is most valuable.

7. ATS and CRM Integration for Zero-Loss Data Capture

The information gathered on a phone call is only as valuable as what happens to it next. In many staffing agencies, intake calls result in handwritten notes, incomplete messages on a shared whiteboard, or an email summary that nobody reads until the recruiter gets back to their desk an hour later. Details get lost. Candidates are not called back. Client orders are not followed up on.

An AI phone agent that integrates directly with your Applicant Tracking System (ATS) and CRM eliminates this problem entirely. When a candidate registration call ends, a complete candidate record exists in your ATS - with skills, availability, and appointment details already populated. When a client order call ends, a new order record exists in your CRM, tagged, assigned, and ready for recruiter follow-up.

This integration is the difference between voice AI as a call-answering service and voice AI as a true workflow automation tool. The data is structured, complete, and immediately actionable. Your recruiters start each morning with organized records, not a backlog of messages to decode and enter manually.

Case Study: A Light Industrial Staffing Agency During Q4 Peak Season

Agency profile: A light industrial staffing agency specializing in warehouse, fulfillment, and manufacturing support roles. Eight recruiters. Located in the Midwest, serving distribution centers, third-party logistics companies, and regional manufacturers. Peak season runs from mid-September through the end of December, during which the placed worker count typically increases by 60-80% compared to the annual baseline.

The problem: During the Q4 peak, all eight recruiters manage active placement files continuously. New candidate calls frequently go unanswered or reach voicemail because recruiters are on screening calls. Client order calls that arrive after 5 PM are not returned until the next morning, by which time the client has often already placed the order with a competing agency. Worker status calls arrive in batches at 6 AM and after 3 PM - outside primary recruiter availability - and the volume is significant enough that some are never returned at all.

The specific gaps identified: 

•       Candidate registrations from evening callers were being missed during peak weeks, reducing the available worker pool at exactly the time when it needed to grow fastest

•       After-hours client order calls - particularly Friday afternoon orders for Monday starts - were consistently going to voicemail, with a high proportion of those clients reaching a competitor before Monday morning

•       Worker shift confirmation and schedule inquiry calls were consuming approximately 90 minutes of recruiter time per day across the team - time that could have been spent on placement activity

•       Spanish-speaking candidates were disproportionately likely to abandon the call process due to language friction in initial intake

The solution deployed:

VoxietyAI configured an AI phone agent covering all three caller groups. For candidates, the AI handles full registration intake 24/7 in English and Spanish, with appointment booking integrated into the recruiter calendar. For client companies, the AI captures full order details after hours and creates a CRM record flagged for next-morning recruiter follow-up. For placed workers, the AI handles shift confirmation and schedule inquiries using integration with the agency's scheduling platform, and logs absence reports automatically.

Results over the first full Q4 peak season:

•       After-hours candidate registrations captured: Increased from near zero to 100%

•       Spanish-language registrations: Increased measurably as candidates no longer encountered language friction in the first call

•       Friday after-hours client orders received and logged for Monday follow-up: All captured; the agency estimates it converted at least two previously-missed contract opportunities during the season

•       Recruiter time recovered from shift confirmation and status calls: Approximately 90 minutes per recruiter per day redirected to active placement work

•       Overall placed worker count at peak: Higher than the prior comparable season, with agency attribution in part to the improved candidate intake coverage

Note: These results reflect a realistic scenario based on outcomes staffing agencies can expect from implementing voice AI. Individual results depend on call volume, peak season duration, and system configuration.

Traditional Phone Handling vs. AI Phone Agent: Side-by-Side Comparison

How to Implement Voice AI at Your Staffing Agency

Implementing an AI phone agent at a staffing agency involves a few steps that are unique to the three-caller structure. Here is a practical guide to the full process.

Step 1: Map your three caller flows separately. Document what each of your three caller types needs from a first call. Client company orders, candidate registrations, and worker inquiries each require a different intake script. Treating them as a single caller type is the most common configuration mistake.

Step 2: Define your intake fields for each caller type. For client orders: role, skills required, start date, duration, schedule, volume, decision-maker contact. For candidates: skills, certifications, availability, shift preference, location, start date. For placed workers: identity verification, type of inquiry, assignment details needed. These fields should match exactly what your recruiters currently capture.

Step 3: Set escalation thresholds for each caller type. Decide when the AI escalates to a live recruiter. For client orders, an emergency same-day fill likely warrants immediate escalation. For candidates, an expressed interest in a specific named role might. For workers, any safety concern must escalate immediately. Define these rules in the configuration before going live.

Step 4: Integrate with your ATS and CRM. This step determines how much operational value the AI delivers beyond call answering. Without ATS integration, candidate profiles must still be entered manually. Without CRM integration, client orders are not automatically tracked. Both integrations should be in place before launch.

Step 5: Configure multilingual support for your worker population. Identify the languages most commonly spoken by your candidates and placed workers, and configure language support accordingly. At minimum, Spanish is worth enabling for any U.S.-based agency working in light industrial, hospitality, agriculture, or food service.

Step 6: Run a pre-launch test with real team members. Before going live, have your recruiters call the AI from each caller perspective: as a new client placing an order, as a candidate registering for work, and as a placed worker asking about a schedule. This test reveals gaps in the script and ensures the experience feels professional before real callers encounter it.

Step 7: Deploy before your next peak season. Give yourself a minimum of 30 days to test and tune the system in a normal volume period before the peak hits. An AI phone agent deployed during a crisis will perform worse than one that has been refined over a quieter period.

Step 8: Review weekly during peak season. Listen to a sample of calls from each caller type each week during your peak period. Adjust scripts when you identify patterns of caller confusion or incomplete intake. The system improves fastest when it is monitored actively during the highest-volume period.

Common Mistakes Staffing Agencies Make with Call Management

Staffing agencies that struggle with phone coverage typically make a predictable set of errors. Recognizing these patterns helps you avoid them.

Using a single generic script for all caller types. A candidate registration call and a client order call are fundamentally different conversations. An AI that greets all callers the same way and asks generic questions will frustrate both groups. The three caller flows must be scripted independently.

Not enabling after-hours coverage for candidate calls. Agencies that implement AI coverage only during business hours miss the most critical window for candidate intake. The evening and weekend hours are when candidates are most likely to call - and when they are most likely to reach a competitor who does answer.

Treating worker status calls as low priority. These calls feel administrative, but ignoring them damages worker retention. A placed worker who cannot get a clear answer about their paycheck will not accept the next assignment. Voice AI that handles these calls professionally strengthens the agency's reliability perception among its worker pool.

Skipping ATS and CRM integration to save setup time. An AI phone agent that captures candidate and client information but does not push it to your systems of record creates a secondary manual process. The recruiter still has to enter the data. The efficiency gain is minimal. Integration is not optional - it is the point.

Failing to configure proper escalation for urgent orders. A client calling with a same-day emergency fill needs a live person, not a structured intake form. If the AI does not recognize and escalate urgent requests immediately, the agency loses exactly the kind of high-urgency, high-value interaction where speed is most critical.

Best Practices for Staffing Agency Voice AI

Agencies that get the most from AI phone agents consistently follow these practices:

•       Script each of the three caller flows independently. Generic caller handling underperforms in staffing. Candidate intake, client orders, and worker inquiries each need a purpose-built conversation flow.

•       Set a 1-hour recruiter follow-up target for AI-captured client orders during business hours. A client who placed an order at 9 PM and gets a call at 9 AM has had a 12-hour wait. That is acceptable for after-hours coverage. A client who places an order at 10 AM should hear from a recruiter by 11 AM.

•       Use AI shift confirmation calls proactively, not just reactively. Rather than waiting for workers to call in for shift details, configure the AI to place outbound confirmation calls the evening before an assignment starts. This reduces no-shows and reduces the inbound inquiry volume simultaneously.

•       Review ATS data quality weekly. Check the candidate records being created by the AI to ensure the intake questions are capturing complete, accurate, and usable information. Adjust the script when you find patterns of missing or incorrect data.

•       Enable multilingual support before it is urgent. Agencies that wait until they have a specific multilingual candidate calling before they enable language support miss the candidates who abandoned the call before getting through. Configure the languages most relevant to your geography and sector from the start.

•       Measure post-AI recruiter time allocation. Track how recruiters are spending their time before and after implementation. The expectation is that status call handling drops significantly and active placement activity increases. If that shift is not happening, review what types of calls are still reaching recruiters unnecessarily.

Future Trends: AI in Temporary Staffing and Workforce Management

The application of AI in the staffing industry extends well beyond inbound phone handling. Here is where the technology is heading over the next several years.

Outbound AI candidate sourcing calls. AI phone agents will increasingly be used for outbound calling - reaching out to candidates in the ATS database who match an open order, confirming availability, and moving them forward in the placement process without recruiter involvement. This turns the ATS from a passive database into an active sourcing tool.

Predictive demand modeling. AI systems will analyze historical client order data, industry seasonality patterns, and macro labor market indicators to predict when demand will spike, giving agency owners the ability to build their candidate pipeline before the orders arrive rather than scrambling to fill them.

Real-time worker sentiment tracking. AI agents conducting shift confirmation and check-in calls will be able to identify early signals of worker dissatisfaction - language patterns, hesitation, complaint framing - and flag workers who may be at risk of abandoning an assignment. This gives agencies the ability to intervene early and reduce costly mid-assignment attrition.

AI-assisted client relationship management. Beyond order intake, AI will manage the routine touchpoints of the client relationship: quarterly satisfaction calls, proactive outreach when new candidate pools become available, and check-ins at assignment milestones. This keeps the relationship active without consuming recruiter time on calls that do not advance an active placement.

Integrated compliance communication. In jurisdictions with complex labor regulations - notice requirements, pay transparency rules, overtime notification requirements - AI voice agents will manage compliance communication automatically, ensuring that every worker and client receives required notifications at the right time through the right channel.

Staffing agencies that build voice AI infrastructure now will find these capabilities available to them as the technology matures, with their systems already integrated and their teams already familiar with how the AI operates.

Frequently Asked Questions

How does an AI phone agent know which type of caller it is dealing with and how to respond appropriately?

A well-configured staffing agency AI phone agent uses the caller's opening statement and a few targeted clarifying questions to identify whether the caller is a client company, a job-seeking candidate, or a placed worker. Once the caller type is identified, the AI moves into the appropriate intake flow - each of which is scripted and structured differently. This routing logic is built into the configuration during setup and can be refined based on real call data after launch. Callers who cannot be clearly categorized are transferred to a live recruiter with a summary of the conversation to that point.

Can a staffing agency AI phone agent integrate with our existing ATS platform?

Yes. Modern AI phone agents are designed to integrate with widely-used ATS and CRM platforms. The specific platforms supported vary by provider, and VoxietyAI will confirm compatibility with your existing systems during the onboarding process. The integration allows candidate profiles captured during a registration call to flow directly into your ATS, and client order records to be created in your CRM, without any manual data entry by recruiters.

What happens when a placed worker calls to report a workplace safety concern?

Any safety concern reported to an AI phone agent should be escalated immediately to a live recruiter or agency manager - and a properly configured staffing agency AI will do exactly that. The AI is scripted to recognize language that signals an urgent or safety-related situation, capture the essential details, and immediately route the call or send an urgent alert to the on-call recruiter. Safety incidents and complaints are never resolved by the AI itself. They are flagged for immediate human follow-up, with a full transcript of the call available to the recruiter before they make contact.

Conclusion

Temporary staffing agencies face a call management challenge that is genuinely more complex than most industries deal with: three distinct caller groups, each with different needs, different urgency levels, and different consequences when their call goes unanswered.

A candidate who reaches voicemail registers with a competitor. A client whose Friday order call is not returned places the contract with a competing agency by Monday morning. A placed worker who cannot get answers about their paycheck does not accept the next assignment. Each missed call category has a specific, compounding cost.

AI phone agents solve all three problems simultaneously. They handle candidate intake, client order capture, and worker status inquiries 24/7 - structured, consistent, and integrated directly with your ATS and CRM. Recruiters stop spending their most productive hours on administrative call handling and spend them on the activities that generate placements and build client relationships.

If your agency is approaching a peak season with the same phone coverage gaps it had last year, VoxietyAI can help you close them before the volume arrives. Book a discovery call today to see how voice AI works for staffing operations specifically.

Suggested External Sources

https://www.alliancevirtualoffices.com/virtual-office-blog/shocking-research-finds-small-businesses-miss-almost-half-of-incoming-calls/

https://americanstaffing.net/ (American Staffing Association - industry data and research)

https://www.staffingindustry.com/ (Staffing Industry Analysts)

https://www.shrm.org/ (Society for Human Resource Management)

https://www.salesforce.com/blog/digital-customers-research-blog/