AI for Staffing Agencies — A Practical Guide from Everee
AI Prompt Playbook for Staffing Agencies

Your recruiters should be recruiting.
Not buried in admin.

You're juggling job orders, resume piles, client calls, and compliance paperwork — all at once. This playbook gives you the exact prompts to hand the admin work to AI, so your team can get back to placing people.

Core Workflows

The workflows where AI actually saves you time

Pick the one that's wasting the most hours today and start there. Click any card for tips and ready-to-use prompts.

📋
Job Description Writing
Stop staring at a blank page. Get a solid first draft in under 2 minutes.
  • 1
    Start with a role brief, not a blank page. Give AI the job title, industry, key responsibilities, and must-have skills. Let it draft the first version, then refine.
  • 2
    Use AI to audit for bias. Paste your existing JDs and ask the AI to flag gendered language, exclusionary requirements, or unnecessarily high credential bars.
  • 3
    Create multiple variations. Have AI generate versions for different job boards — LinkedIn, Indeed, niche boards — each tuned to that audience's expectations.
  • 4
    Build a template library. Once you have a great JD, ask AI to generalize it into a reusable template for that role category.
Sample Prompt
Write a job description for a [Warehouse Associate] role at a mid-size logistics company. Requirements: [list them]. Avoid gendered language. Include pay range [$X–$Y/hr] and highlight flexibility as a benefit. Keep it under 350 words.
🔍
Candidate Sourcing
Your next great hire is already out there. AI helps you find them before someone else does.
  • 1
    Build Boolean search strings with AI. Describe your ideal candidate and ask AI to generate optimized Boolean strings for LinkedIn Recruiter, Indeed, or Google X-Ray searches.
  • 2
    Create candidate personas. Ask AI to build a detailed profile of your ideal candidate — including where they spend time online, what motivates them, and what would make them switch jobs.
  • 3
    Draft outreach sequences. Have AI write a 3-touch outreach sequence (email + LinkedIn message + follow-up) personalized to the role. Edit lightly to add your voice.
  • 4
    Re-engage your ATS. Ask AI to help you write search queries or criteria to surface past candidates who might fit a new opening — your bench is often your best source.
Sample Prompt
Generate a Boolean search string to find experienced [CNC Machinists] on LinkedIn. They should have [3+ years experience, Fanuc or Mazak experience, manufacturing background]. Provide 3 variations from broad to narrow.
📄
Resume Screening
300 resumes by Monday morning. Here's how to get through them without losing your mind.
  • 1
    Create a scoring rubric first. Before screening, define your top 5 criteria and ask AI to help you weight them. This gives AI clear direction and keeps your process consistent.
  • 2
    Use AI to summarize, not rank. Paste a resume and ask for a structured summary: years of relevant experience, key skills match, gaps, and one concern. Keep the decision with your team.
  • 3
    Spot transferable skills. AI is great at identifying non-obvious matches — ask it to explain how a candidate's background in [X industry] could translate to [Y role].
  • 4
    Document your process. Keep a record of the criteria you gave AI for each screening decision. This protects you and makes the process auditable.
Sample Prompt
Review this resume for a [Forklift Operator] role. Score it on: (1) relevant experience, (2) required certifications, (3) reliability indicators, (4) schedule fit. Give a 1–5 score for each with a one-sentence rationale. Do not make a final hire/no-hire call.
💬
Candidate Communication
Ghosting goes both ways. Here's how to stay on top of every touchpoint without burning out.
  • 1
    Build a message template library. Use AI to write 15–20 templates for your most common scenarios: application received, under review, interview invite, offer, rejection, re-engagement.
  • 2
    Personalize at scale. Have AI take a base template and personalize it with the candidate's name, the specific role, and one tailored detail from their background.
  • 3
    Draft rejection messages with care. Ask AI to write a warm, encouraging rejection that leaves the door open — candidates remember how they were treated.
  • 4
    Translate communications. If you place workers across language groups, use AI to translate key messages (confirm with a bilingual team member for critical info).
Sample Prompt
Write a warm, brief rejection email for [candidate name] who applied for [role]. They were well-qualified but we went with another candidate. Encourage them to stay connected and apply for future roles. Keep it under 100 words and avoid corporate language.
🎙️
Interview Preparation
Every interviewer on your team asking the same good questions. Every time.
  • 1
    Generate structured interview guides. Give AI the role, key competencies, and format. It can produce a full guide with behavioral, situational, and skill-based questions.
  • 2
    Prep follow-up probes. For each main question, ask AI to generate 2–3 follow-up probes that go deeper — this trains less experienced interviewers to dig past surface answers.
  • 3
    Create candidate prep guides. Use AI to write a simple prep document for candidates — what to expect, how to dress, what to bring. It reduces no-shows and improves the experience.
  • 4
    Summarize interview notes. After an interview, paste raw notes into AI and ask for a clean, structured summary organized by competency. Saves time and improves handoffs.
Sample Prompt
Create a structured interview guide for a [Light Industrial Team Lead] role. Include 4 behavioral questions (STAR format), 2 situational questions, and 2 skills-based questions. For each, add one follow-up probe and a note on what a strong answer looks like.
🤝
Client Relationship Management
Walk into every client meeting like you already know their biggest problem.
  • 1
    Draft client-facing reports fast. Feed AI your raw data — fill rates, time-to-fill, retention numbers — and ask it to write a concise narrative summary for your weekly or monthly report.
  • 2
    Prepare for difficult conversations. Describe a tricky client situation and ask AI to help you think through how to frame the issue, what questions to ask, and how to move toward a solution.
  • 3
    Write killer follow-up emails. After a client call, paste your notes and ask AI to draft a recap email: key points discussed, next steps, and who owns what.
  • 4
    Research new prospects. Use AI to research a prospective client's industry, common hiring pain points, and likely workforce challenges before a first meeting.
Sample Prompt
I have a client meeting with [manufacturing company] on Friday. They're struggling with [high turnover in their production floor]. Help me prepare 5 smart questions that position me as a strategic partner, plus a brief summary of common workforce challenges in that industry I should be aware of.
Onboarding & Compliance
Paperwork workers actually read. First days that actually stick.
  • 1
    Simplify onboarding documents. Paste dense policy language into AI and ask it to rewrite in plain English at a 7th-grade reading level. Workers actually read what they understand.
  • 2
    Build onboarding checklists. Ask AI to create a step-by-step onboarding checklist for a specific role, client site, or employment type. Customize and make it yours.
  • 3
    Explain complex compliance topics. Need to explain I-9 requirements, co-employment rules, or state-specific break laws to a client? Ask AI to draft a plain-language explainer — then have counsel review it.
  • 4
    Summarize regulatory updates. Paste the text of a new regulation or guidance document and ask AI to summarize the key changes and what they mean for your business.
Sample Prompt
Rewrite this section of our worker handbook in plain English for someone reading at a 7th-grade level. Keep all the key information. Use short sentences and avoid jargon. [paste text]
📊
Reporting & Analytics
Numbers your clients will actually read — and maybe even respond to.
  • 1
    Write narrative around your data. Give AI a summary of your key metrics and ask it to write a 2-paragraph executive summary that highlights wins and flags concerns — with a recommended action.
  • 2
    Build templates for recurring reports. Ask AI to create a report template structure — headers, key metrics, narrative sections — that you can fill in each period.
  • 3
    Identify trends in plain language. Paste a table of turnover or fill-rate data and ask AI to explain what it sees — are things improving? What might be driving the pattern?
  • 4
    Create formulas and queries. If you're in Excel or Google Sheets, describe what you're trying to calculate and ask AI to write the formula. Works for SQL queries too.
Sample Prompt
Here are my staffing metrics for Q1: [fill rate: 87%, time-to-fill: 4.2 days, 90-day retention: 71%, turnover rate: 28%]. Write a 150-word executive summary for my client. Highlight what's strong, what needs attention, and recommend one action we're taking.
🔄
Candidate Redeployment
Your best candidates are already in your database. Here's how to find them before you post a new job.
  • 1
    Mine your ATS before you post. Before opening a new req externally, describe the role to AI and ask it to help you write search criteria or a re-engagement message for candidates already in your database who may be a fit.
  • 2
    Write reactivation messages that don't feel stale. Use AI to draft a warm, personalized re-engagement message to a candidate you placed 6–18 months ago — referencing their last role and checking on their availability.
  • 3
    Identify workers nearing end of assignment. If a worker is wrapping up a placement, use AI to draft a proactive check-in message and summarize next-step options to keep them engaged before they go elsewhere.
  • 4
    Create a redeployment cadence. Ask AI to design a 3-touch redeployment sequence (email, text, call script) for workers whose assignments are ending in the next 30 days.
Sample Prompt
You placed [Candidate Name] as a [Forklift Operator] at [Client] about 8 months ago. Their assignment ended. Write a warm, brief re-engagement text message and a follow-up email checking their availability for a similar role we have open. Mention their previous experience. Keep it friendly and human — not a form letter.
📅
Shift Scheduling & Dispatch
Getting the right worker to the right shift — without a 6am phone tree.
  • 1
    Draft shift announcement messages. Use AI to write clear, direct shift confirmation texts and emails that include start time, location, dress code, and who to contact on arrival.
  • 2
    Handle no-show communications fast. When a worker doesn't show, use AI to quickly draft a same-day fill request to your bench pool — personalized by shift type and urgency level.
  • 3
    Build a shift reminder sequence. Ask AI to create a 3-message reminder sequence sent at 48 hours, 24 hours, and 2 hours before a shift starts. Warm but direct.
  • 4
    Communicate schedule changes professionally. When a client changes shift requirements last minute, use AI to draft a transparent worker communication that explains the change and next steps clearly.
Sample Prompt
Write a 3-part shift reminder sequence (48hr, 24hr, and 2hr before shift) for a warehouse worker starting Monday at 6am at [Client Site]. Include: shift start time, address, what to wear, and a contact number for questions. Keep each message under 60 words and friendly in tone.
📋
Credential & Compliance Tracking
Expired certifications cost you clients. AI helps you stay ahead of the paperwork.
  • 1
    Summarize credential requirements by role. Give AI a job description or client requirement sheet and ask it to produce a clean list of required certifications, licenses, and renewal timelines.
  • 2
    Draft credential expiration alerts. Use AI to write a series of worker-facing messages (30-day, 7-day, and expiration-day) reminding them to renew specific credentials before they fall out of compliance.
  • 3
    Explain compliance requirements in plain English. Paste OSHA standards, state licensing requirements, or client credentialing specs and ask AI to summarize what they mean for your workers in simple terms. Always verify with counsel.
  • 4
    Build a role-specific compliance checklist. Ask AI to generate a complete onboarding compliance checklist for a specific role (e.g., CNA, CDL driver, forklift operator) including all documentation needed before day one.
Sample Prompt
Create a compliance onboarding checklist for a [Certified Nursing Assistant] placed at a long-term care facility in [State]. Include: required certifications and renewal timelines, background check requirements, health documentation, and first-day paperwork. Flag any items that typically take more than 5 business days to process.
📈
Business Development & Prospecting
Walk into every prospect conversation knowing more than they expect you to.
  • 1
    Research a prospect before you call. Give AI the company name, industry, and any public info you have, and ask it to summarize their likely workforce challenges, hiring patterns, and what a staffing pitch should address.
  • 2
    Write outbound sequences that don't sound like spam. Use AI to draft a 3-touch cold outreach sequence to a prospective client — leading with an industry insight, not a sales pitch.
  • 3
    Tailor your capabilities deck narrative. Describe a prospect's situation and ask AI to help you customize the narrative for your agency overview so it speaks directly to their pain points.
  • 4
    Build a competitive differentiation brief. Ask AI to help you articulate how your agency differs from the 2–3 other firms a prospect is likely evaluating — based on your specialization, turnaround time, and differentiators you provide.
Sample Prompt
I'm preparing a cold outreach sequence to the HR Director at a mid-size [manufacturing company] in [City]. They likely struggle with [high turnover on the production floor and inconsistent fill rates]. Write a 3-email sequence: Email 1 leads with an industry insight (no pitch), Email 2 introduces our agency with one specific result, Email 3 is a low-friction ask for a 15-minute call. Keep each under 120 words.
Guardrails

Before you go full auto-pilot...

AI is a great assistant. It's not your decision-maker. Here's where to keep a human in the loop — and why it matters.

✓ Do
  • Use AI to draft and assist — have a person review and approve final communications sent to candidates and clients.
  • Keep final hiring decisions with your team. AI can score and summarize, but humans make the call.
  • Tell candidates when AI-assisted tools are part of your process, where relevant and where required by law.
  • Audit AI outputs regularly for bias, especially in resume screening and job description review.
  • Keep sensitive worker and client data out of public AI tools. Use enterprise versions with data privacy agreements.
  • Document your AI-assisted processes so they're consistent, trainable, and defensible.
✗ Don't
  • Don't use AI screening or hiring tools in New York City, Illinois, or Colorado without checking local AI employment laws first. NYC Local Law 144 requires bias audits for automated employment decision tools. Illinois and Colorado have their own emerging requirements. These laws are evolving — consult counsel before deploying AI in candidate screening in these states.
  • Don't paste personally identifiable information (names, SSNs, addresses) into public AI tools like the free version of ChatGPT.
  • Don't use AI to fully automate candidate rejection without any human review — it can introduce legal and brand risk.
  • Don't assume AI output is factually accurate. Always verify claims about regulations, legal requirements, or market data.
  • Don't roll out AI tools to your team without a brief training session and a clear policy on appropriate use.
  • Don't use AI-generated content verbatim for legal documents, compliance materials, or contracts without attorney review.
  • Don't let AI replace the human connection that makes great staffing agencies great. Use it to create more time for people, not less.
Prompt Library

A prompt for every situation. Steal all of them.

These work in ChatGPT, Claude, Gemini, or any AI tool you're already using. Just swap the brackets and go.

Job Ads
Write a short, engaging LinkedIn post for a [Job Title] opening at [Company Name]. Include: key highlights of the role, pay range, one reason people love working there, and a clear call to action. Keep it under 200 words and use a conversational tone.
Sourcing
Build a Boolean search string to find [Job Title] candidates on LinkedIn with [X years] of experience in [industry/skill]. Include alternatives for common job title variations. Provide a broad version and a narrow version.
Outreach
Write a short, personalized LinkedIn InMail to a passive candidate named [Name] for a [Job Title] role. Their background: [brief summary]. Make it feel genuine, not salesy. Lead with value. Under 100 words. Include a low-friction call to action.
Screening
Summarize this resume for a [Job Title] role. Give me: (1) years of relevant experience, (2) top 3 matching qualifications, (3) one potential gap or concern, (4) one transferable strength that may not be obvious. Do not make a hire/no-hire recommendation. [paste resume]
Client Comms
Write a professional but warm follow-up email from my call with [Client Name] at [Company]. Here are my notes: [paste notes]. Include: what we discussed, agreed next steps, who owns each item, and a friendly closing. Keep it concise — under 200 words.
Internal
Create a realistic role-play scenario for training a new recruiter on [skill, e.g., handling a candidate who accepts an offer and then backs out]. Include: the scenario setup, the recruiter's goal, 3 possible ways the conversation could go, and what a great recruiter response looks like in each case.
Redeployment
[Worker Name] was placed as a [Job Title] at [Client] [X months] ago. Their assignment has ended. Write a text message (under 60 words) and a follow-up email (under 100 words) checking their availability for a similar role. Mention their previous placement. Sound human — not like a template.
Redeployment
Write a proactive check-in message for a worker whose assignment at [Client] ends in [X weeks]. Let them know we're already looking for their next opportunity, ask about their preferences for next placement (location, shift, industry), and keep the tone warm and forward-looking. Under 100 words.
Scheduling
Write a 3-part shift reminder for a [Job Title] starting [Day] at [Time] at [Location]. Send at: 48 hours before, 24 hours before, and 2 hours before. Each message under 60 words. Include start time, address, dress code, and an on-site contact. Friendly and direct.
Scheduling
Write an urgent fill request message to send to available workers in our database for a [Job Title] shift starting [Day] at [Time] at [Location]. We need [X] workers. Make it feel urgent without being panicked. Include pay rate, shift length, and a clear response CTA. Under 80 words.
Compliance
Write a 3-message credential expiration alert for a worker whose [Certification Type] expires in 30 days. Message 1 at 30 days: informational. Message 2 at 7 days: more urgent. Message 3 on expiration day: final warning with next steps. Plain language, professional tone, under 75 words each.
Compliance
Create a complete compliance onboarding checklist for a [Job Title] placed at a [Facility/Client Type] in [State]. Include required certifications and renewal timelines, background check requirements, health documentation, and first-day paperwork. Flag items that typically take more than 5 business days to process.
Business Dev
Write a 3-email cold outreach sequence to the HR Director at a [Industry] company in [City]. Likely pain point: [high turnover / slow fill rates / compliance gaps]. Email 1: lead with an industry insight, no pitch. Email 2: introduce our agency with one specific result. Email 3: low-friction ask for a 15-min call. Under 120 words each.
Business Dev
I have a first meeting with [Company Name], a [Industry] company with [X employees] in [City]. Help me prepare: (1) likely workforce challenges for this industry right now, (2) 5 smart questions that position me as a strategic partner, (3) one relevant result or case study angle I could reference. Keep it scannable.
Screening
Here are my raw notes from a reference call for [Candidate Name] applying for [Job Title]. Summarize into: (1) overall impression, (2) top 3 strengths mentioned, (3) any hesitations or gaps noted, (4) whether this reference would re-hire. Keep to 150 words. Do not editorialize. [paste notes]
Screening
Generate 8 interview questions for a [Job Title] role — 3 behavioral (STAR format), 2 situational, 2 skills-based, and 1 culture/reliability question. For each, add one follow-up probe and a note on what a strong answer looks like. Avoid questions that could introduce legal liability.
Client Comms
Write a candidate submission narrative for [Candidate Name] for a [Job Title] role submitted through [VMS Name]. Their background: [brief summary]. Highlight: relevant experience, top qualifications, availability, and one standout reason to interview. Under 150 words. Professional but not stiff.
Internal
Create a realistic role-play scenario for training a new recruiter on [skill — e.g., handling a candidate who ghosts after accepting an offer]. Include: the scenario setup, the recruiter's goal, 3 ways the conversation could go, and what a great recruiter response looks like in each case.

AI gets work done faster. Everee gets your workers paid.

While you're using AI to source and screen, Everee handles the payroll side — same-day pay, automated compliance, no more manual nightmares between you and your workers.