Job Descriptions That Attract Better Candidates
Most job descriptions are either copied from templates, pulled from previous postings, or written quickly by a hiring manager who's more expert in the role than in writing. AI can help produce better job descriptions when given the right inputs. Start with: the role's core responsibilities, the skills that actually differentiate strong candidates, what success looks like in 90 days, the team context, and any cultural signals about how your company works. Ask AI to write the JD and then explicitly ask it to review for exclusionary language that might discourage qualified candidates from underrepresented groups. Research consistently shows that language choices in JDs significantly affect candidate pools.
Building Structured Interview Processes
Inconsistent interviews are a major source of bias in hiring: different interviewers ask different questions, evaluate on different dimensions, and come out with impressions that can't be compared. AI can help design structured interview processes efficiently. For any role, ask: 'Create a structured interview guide for a [role] with 8 behavioral interview questions covering: [key competencies]. For each question, include the competency being evaluated, what a strong answer would demonstrate, and two follow-up probes.' This produces a consistent framework that all interviewers can use, enabling fairer comparisons and better hiring decisions.
Policy and Handbook Drafting
Employee handbooks and HR policies follow well-established structures that AI handles efficiently. For a first draft, describe the policy topic, your company size and industry, any specific requirements (remote work, flexible hours, equipment), and the tone (formal vs. conversational). AI will produce a structured draft covering the key provisions. HR then reviews for legal accuracy (critical — AI is not a lawyer and employment law varies by jurisdiction), cultural fit, and company-specific nuances. The value is eliminating the blank page: an HR professional can review and improve a 600-word policy draft in 20 minutes; writing it from scratch takes far longer.
Performance Management Documentation
Performance reviews, PIPs, and documentation for employment decisions require careful, specific language. AI can help structure this documentation when HR provides the specific factual content. For performance review templates: describe the role category and the performance dimensions you want to evaluate, and ask for a template with rating scales and space for specific examples. For PIP drafts: provide the performance concerns (with specific documented instances) and ask AI to structure the improvement plan framework — expectations, support resources, timelines, and check-in points. Always have legal review any documentation connected to potential termination.
Employee Communication and Change Management
Organizational changes — reorgs, policy updates, benefits changes, leadership transitions — require communication that is clear, empathetic, and appropriately transparent. These communications are often hard to write because they need to balance honesty with stability, directness with sensitivity. AI can help draft communications when given the core message, the likely employee concerns, and the desired emotional outcome. 'Write an all-hands message announcing a reorganization that: explains the business reason clearly, acknowledges that change is uncertain, confirms no layoffs, and tells employees what happens next. Tone: direct, empathetic, not corporate-speak.'
The Non-Negotiable Limits of AI in HR
AI should never make or materially influence individual people decisions — hiring rejections, performance ratings, compensation decisions, promotion choices, or termination recommendations. These decisions are subject to employment law, discrimination regulations, and ethical standards that require human accountability. AI can help with process design and documentation; humans make the decisions. Additionally: any HR data you process through commercial AI tools should be handled in accordance with your data privacy policies and any applicable regulations (GDPR, CCPA, etc.). Employee personal data should not be entered into external AI tools without appropriate privacy review.