Worried about AI? What you should be is curious and maybe a little strategic. In 2024, 72% of companies have integrated AI into at least one business function. It’s no longer a futuristic trend; it’s a competitive edge.

And the best HR managers and startup leaders aren’t using AI to churn out generic, one-size-fits-all outputs. They’re using smart, contextual prompts that address real HR challenges, such as sourcing talent across time zones, crafting inclusive policies, and managing performance reviews at scale.

That’s what this guide is about: 10 proven AI prompts to help you get better, faster results across recruiting, onboarding, internal comms, compliance, and more. Think of it as your plug-and-play AI cheat sheet. Along the way, we’ll also show how platforms like RemotePass pair perfectly with AI to simplify global HR operations. 

Let’s dive in.

1. Talent Sourcing & Outreach

Use Case: Writing Personalized Outreach Messages at Scale

Top candidates can smell a copy-paste email from a mile away. If you want to stand out in a crowded inbox, personalization is key but doing it manually for every candidate just isn’t scalable.

This is where AI comes in handy.

With the right prompt, you can:

• Replace generic recruiting emails that get ignored
• Maintain  consistent messaging that feels personable and targeted

Try this Prompt:

Write a concise, friendly outreach message for a candidate with 5+ years of experience in software engineering who currently works at Buffer. Focus on why our remote culture and learning opportunities would appeal to them. Limit to 150 words.

Why It Works:

• It layers candidate profile data with your unique value proposition for relevance.
• It’s easy to reuse. Just swap out the role, company, or value hook

Pro Tip: 

• Add a resume or LinkedIn profile for more personalized results.
• Add extra context details like "mention their recent article on LinkedIn" to show genuine interest.

2. Job Description Optimization

Use Case: Making Job Ads Inclusive and High-Converting

Job descriptions can make or break your talent pipeline. A few words of corporate fluff or exclusionary language, and great candidates bounce.

AI can help you rewrite job ads to:

• Remove language that excludes diverse or underrepresented candidates.
• Focus  on outcomes and growth, rather than a laundry list of  requirements.

Try this Prompt:

Rewrite this job description to appeal to a diverse range of candidates, eliminate corporate jargon, and focus on outcomes. Maintain all required qualifications and responsibilities. Ensure it reads well at an 8th-grade reading level.

Why It Works: 

• It improves clarity and accessibility without sacrificing the important details
• It aligns the language with your company’s values and voice

Pro Tip: 

• Add "use a friendly but professional tone," to match your employer brand.
• Include "focus on growth opportunities" to attract ambitious, mission-driven candidates.

3. Interview Question Design

Use Case: Crafting Role-Specific, Behavioral Interview Questions

Standard interview questions often reveal little about an individual's actual performance in the real world. Behavioral questions, on the other hand, are grounded in actual scenarios and predict success more accurately. These tools can

• Replace generic questions that reveal little about real-world performance.
• Create consistent evaluation frameworks across all hiring managers.

Try this Prompt:

Generate five behavioral interview questions for a marketing role that assess problem-solving, collaboration, and adaptability. Make them grounded in real-world scenarios. Include a scoring rubric for each question.

Why It Works: 

• It delivers questions tailored to core competencies with built-in evaluation frameworks.
• Saves hiring managers hours of prep time while ensuring interview consistency.

Pro Tip: 

• Specify industry context like "for a SaaS startup" to get more relevant scenarios.
• Add "include follow-up questions" to help interviewers dig deeper into responses.

4. Policy Drafting

Use Case: Creating Flexible Work and Time-Off Policies

Policy writing requires striking a balance between legal compliance, cultural fit, and operational clarity. AI tools can transform a complex set of rules into a clear, user-friendly policy. With the right prompt, you’ll:

• Balance compliance requirements with culture values
• Structure complex global workforce requirements into easy-to-understand frameworks

Try this Prompt:

Draft a flexible work policy for a globally distributed company with teams in four time zones. Include guidelines on availability, async communication, and documentation expectations. Ensure policy aligns with modern remote work principles and promotes equity.

Why It Works: 

• It encourages structured thinking while addressing the unique challenges of distributed teams upfront.
• It also creates comprehensive frameworks that covers legal guardrails and your company’s unique culture.

Pro Tip:

• Follow up with "highlight areas requiring legal review in Turkey" (or any specific region) to spot compliance gaps.
• Add "include implementation timeline and communication plan" for smoother rollouts. 

5. Employee Engagement Analysis

Use Case: Synthesizing Survey Results and Feedback

Raw survey data tells a story, but raw numbers and comments don’t automatically translate into action. AI can help you cut through the noise and surface trends that matter.

With the right prompt, you’ll be able to:

• Turn heaps of survey responses into clear themes and priorities
• Spot recurring issues and quick-win opportunities in seconds

Try this Prompt:

Summarize the key themes from this employee engagement survey. Highlight areas of concern, recurring comments, and potential quick wins. Present in bullet points and tag themes by sentiment: positive, neutral, negative.

Why It Works:

• It distills complex feedback into actionable insights with precise sentiment analysis.
• It provides structure for board presentations and leadership decision-making.

Pro Tip:

• Add "rank recommendations by implementation difficulty and potential impact" to guide resource allocation.
• Include "suggest specific follow-up survey questions" to measure progress on top issues.

6. Performance Review Assistance

Use Case: Drafting Constructive, Balanced Feedback

Performance reviews often suffer from vague language or unintentionally sharp phrasing. With AI, you can craft feedback that’s both supportive and specific, so your team knows exactly where they shine and how to grow. With the right prompt, you’ll:

• Deliver clear, actionable feedback without harsh or ambiguous language.
• Keep review quality consistent, even if you’re not a “wordsmith”

Try this Prompt:

Generate a performance summary for a Sales Executive who consistently delivers on time, mentors others, but needs to improve their communication skills. Use a supportive and constructive tone. Include specific examples and suggest areas for growth.

Why It Works:

• It encourages fairness and clarity while providing actionable development pathways.
• It helps managers who struggle with difficult performance conversations.

Pro Tip:

• Add the employee's career goals to make suggestions more motivating and relevant.
• Include "frame improvements as skill-building opportunities" to keep momentum positive.

7. HR Communications

Use Case: Announcing Policy Changes and Updates

A well-crafted announcement can boost policy adoption and cut down on follow-up questions. AI can help you hit the sweet spot between friendly and authoritative across Slack, email, or whatever channel you use. With the right prompt, you’ll:

• Drive faster adoption by making policies approachable.
• Keep your messaging consistent, no matter who on your team sends it

Try this Prompt:

Write an internal Slack message announcing a new parental leave policy. Keep it short, warm, and clear, with a link to the full policy document. Make it sound like it's coming from the Head of People.

Why It Works:

• Tailors the tone for Slack (or other channels) so it feels native, not forced
• Balances authority and empathy, so people actually read and act on it

Pro Tip:

• Specify the channel (Slack, email, town hall) to adjust style
• Add "include anticipated FAQ responses" to pre-empt common questions and reduce back-and-forth

8. Onboarding Planning

Use Case: Creating Structured New Hire Experiences

Effective onboarding requires careful sequencing of information, relationships, and responsibilities. AI can piece together all the moving parts, so nothing slips through the cracks.

With the right prompt, you’ll:

• Build a systematic 30/60/90-day plan that guides new hires and their managers
• Ensure every department delivers consistent touchpoints and check-ins.

Try this Prompt:

Create a 30-day, 60-day, and 90-day onboarding plan for a Human Resources Officer. Include learning goals, stakeholder meetings, and early deliverables. Add weekly check-in questions for the manager.

Why It Works:

• Gives new hires and managers a clear roadmap and accountability checkpoints
• Aligns milestones with strategic objectives, so progress is measurable from day one

Pro Tip:

• Add "include async learning resources and self-paced milestones" for distributed teams.
• Include "specify success metrics for each phase" to track onboarding effectiveness.

9. Compliance & Localization Research

Use Case: Understanding Local Labor Laws Quickly

Expanding into new markets? The legal terrain can look like a minefield. AI can give you a head start, so you know what to flag before you talk to your legal team.

With the right prompt, you’ll:

• Save hours of initial legal research when expanding to new countries
• Highlights critical compliance areas so nothing slips through the cracks

Try this Prompt:

Summarize key labor laws in Mexico that affect remote workers, including tax obligations, working hours, leave entitlements, and contractor classification rules. Format as a checklist for legal review.

Why It Works:

• It provides a comprehensive initial research foundation for expansion planning decisions.
• It also ensures critical compliance areas aren't overlooked during review.

Pro Tip:

• Add "highlight areas requiring immediate legal consultation" for risk management.
• Include "compare with Puerto Rico requirements" (or another jurisdiction) to identify key differences early.

10. Compensation Analysis

Use Case: Market Research and Pay Equity Reviews

Fair, competitive compensation requires constant market awareness and internal equity analysis. AI can crunch the numbers and surface insights that guide your compensation strategy. With the right prompt, you’ll:

• Turn raw salary data into clear, strategic recommendations for leadership
• Identifying internal pay gaps and external competitiveness issues systematically

Try this Prompt:

Analyze this compensation data for Product Manager roles across Europe. Identify pay gaps and market positioning, and recommend adjustments to achieve equity and competitiveness. Present findings in executive summary format.

Why It Works:

• Delivers a concise, board-ready overview of external benchmarks and internal equity
• Combines market insights with actionable next steps

Pro Tip:

• Add company “We’re Series A, 50 employees” to tailor recommendations about the company stage and funding to get relevant recommendations.
• Include: “Prioritize suggestions by budget impact and retention risk” to help leadership plan effectively

How To Write Better AI Prompts

Think of AI like a brilliant new intern, it can tackle almost anything, but only if you give it clear, specific instructions. Nail these five elements and you’ll get far more useful output:

• Context: Frame the setting.

Weak: “Write for a company.”

Strong: “You’re writing for a 50-person SaaS startup focused on employee experience.”

• Task: Spell out exactly what you need.

Weak: “Help with hiring.”

Strong: “Generate five behavioral interview questions for a mid-level marketing manager.”

• Format: Tell it exactly how you want the output: email, bullet points, checklist, executive summary
• Tone: Define the voice:

“Professional but approachable”

“Warm and concise”

“Formal and authoritative”

• Constraints: Set boundaries to sharpen results:

Word limit (e.g., max 100 words)

Reading level (e.g., 8th grade)

Legal or compliance notes

Example Before:

“Write a job description for a software engineer.”

Example After:

“Write a 150-word job description for a mid-level software engineer at our Series B fintech startup. Use a friendly but professional tone, keep language inclusive, and focus on growth opportunities. Ensure it reads at an 8th-grade level.”

Get these right, and your AI “intern” will go from generic to genuinely helpful, saving you time and delivering spot-on HR copy.

Start Small, Scale Big

Diving into AI can feel like jumping into the deep end, but you don’t need to overhaul your entire HR operation at once. Instead:

• Choose one prompt from this list and give it a go this week.
• Start low-stakes: rewrite a job description or draft a Slack announcement.
• Build your confidence with those quick wins before tackling higher-impact tasks like policy drafting or performance reviews.

Remember, AI isn’t here to replace your expertise, it’s here to supercharge it. And with RemotePass in your toolkit, you get an end-to-end platform that helps you:

• Hire in 150+ countries without setting up local entities
• Offer compliant contracts, local benefits, and seamless onboarding
• Run payroll, taxes, and expenses in one dashboard
• Ensure compliance with international labor laws, eliminating costly misclassification risks

Ready to scale your HR operations globally? Book a demo with RemotePass and see how AI and powerful HR tech can work together to build extraordinary workplaces.