Community Hub

Employee experience is one of the areas where AI has real potential — from personalised onboarding and always-on HR support to sentiment analysis and wellbeing tools. But it's also an area where getting it wrong can damage trust. If you've experimented with AI to improve employee experience, share what you've tried: - What problem were you trying to solve? - What tools or approaches did you use? - How did employees respond? - What safeguards did you put in place to protect privacy and trust? If you're still exploring this space, share what you're considering and what questions you have — there are likely others here who can help.

One thing that came through clearly in member registrations is that many people feel like they're constantly trying to keep up with a fast-moving field — and it's exhausting. How do you manage it? Share your approach: - What sources do you rely on for trustworthy, relevant AI in HR news and research? - How much time do you spend each week on learning and staying current? - What's your filter for deciding what's worth paying attention to? - Any newsletters, podcasts, communities, or people you'd recommend following? There's no single right answer here — but hearing how others manage this might help members who are feeling overwhelmed find a more sustainable approach.

Performance management is one of the areas where AI is generating the most interest — and the most questions. Members have mentioned wanting to understand how AI is being used for real-time feedback, goal-setting, performance reviews, and predictive analytics. If you've experimented with AI in your performance management processes, we'd love to hear from you: - What problem were you trying to solve? - What approach did you take? - What worked, and what didn't? - What would you do differently? If you haven't tried it yet but are considering it, share what's holding you back — chances are others are in the same position and can help.

Several members joined specifically to understand how other organisations are approaching AI governance — the policies, guardrails, and oversight frameworks that make AI use responsible and compliant. This is a topic that's moving fast. What's your organisation doing about it? Some questions to consider: - Do you have an AI policy in place? If so, how did you develop it? - Who owns AI governance in your organisation — HR, Legal, IT, or someone else? - How are you thinking about the EU AI Act and its implications for HR? - What's your approach to preventing bias in AI-assisted hiring or performance decisions? Whether you're ahead of the curve or just starting to think about this, your experience is valuable to the community.

Change management came up repeatedly in member registrations. Many of you are trying to bring AI into organisations where colleagues are sceptical, worried about their jobs, or simply overwhelmed by the pace of change. If you've navigated this — or are currently navigating it — share your experience: - What were the main objections you heard from colleagues or leadership? - What worked to bring people along? - What would you do differently? - Any resources, frameworks, or approaches you'd recommend? This is one of those challenges where there's no textbook answer, so hearing what's actually worked in real organisations is incredibly useful.

A lot of the AI in HR conversation focuses on large enterprises with dedicated technology teams and big budgets. But many of our members work in smaller organisations where resources are limited and you're often a team of one. If you're in a smaller organisation (under 500 employees), we'd love to hear your perspective: - What AI tools have you found accessible and affordable? - How do you make the case for AI investment when budgets are tight? - What are the unique challenges of being a small HR team trying to adopt AI? - What would you tell a fellow solo HR practitioner just starting out? Your experience is just as valuable as the enterprise stories — and probably more relevant to the majority of members here.

One of the most common things members said when joining was that they want to know what tools other HR professionals are really using — not the vendor demos, but the honest day-to-day reality. So let's find out: what AI tools have you actually tried, and which ones have stuck? Whether it's ChatGPT for drafting policies, Copilot for summarising reports, or something more specialist — share what you're using and what you think of it. A few prompts to get you started: - What's the one AI tool you'd recommend to a colleague who's just starting out? - What have you tried that didn't work as well as you hoped? - Has anything genuinely saved you time or improved the quality of your work? No judgement here — this is exactly the kind of practical, honest sharing that makes this community valuable.

Recruitment is one of the most talked-about areas for AI in HR — from CV screening and job description writing to candidate communication and interview scheduling. But the reality on the ground is often more nuanced than the hype suggests. What's your experience? - Which parts of your recruitment process have you tried to automate or augment with AI? - How have candidates responded? - What are the bias and fairness considerations you've had to think about? - What's genuinely saved you time, and what's created more work? Whether you're using a specialist recruitment AI tool or just experimenting with ChatGPT for job descriptions, share what you've learned.

This is a question for everyone who's been on the AI journey for a while — and a gift to the members who are just starting out. Looking back, what do you know now that you wish you'd known at the beginning? - What mistakes did you make that others could avoid? - What took longer than you expected? - What was easier than you thought it would be? - What's the single most useful piece of advice you'd give to an HR professional who's just beginning to explore AI? Whether your journey started 6 months ago or 3 years ago, your hindsight is genuinely valuable to the community. Please share it.

Many members joined because they want to understand where they and their organisations stand on the AI journey — and what 'being ready' actually means in practice. The HR AI Forum has assessment tools to help with this, but we're also curious what readiness means to you in your day-to-day work: - What does an 'AI-ready' HR team look like to you? - What skills do you think HR professionals need to develop? - How are you personally building your AI knowledge and confidence? - What's the one thing you wish you'd known earlier in your AI journey? This is a great question for members at all stages — whether you're just starting out or already well into your AI transformation.

Learning and development is one of the areas where AI is having a significant impact — from personalised learning pathways and content generation to skills gap analysis and coaching tools. Members who joined with a focus on L&D: what's your experience? - How are you using AI to identify skills gaps or design learning programmes? - What AI-powered L&D tools have you tried, and what did you think? - How are you thinking about upskilling your workforce for an AI-enabled future? - What's the biggest challenge you're facing in this space? This is also a great thread for sharing resources — if you've come across a particularly useful framework, tool, or piece of research on AI in L&D, please share it.

People analytics and data-driven HR decision-making came up repeatedly in member registrations. Many of you want to understand how to use data and AI together to make better decisions about your workforce. Share your experience and perspective: - How are you currently using data and analytics in your HR work? - Where has AI added the most value to your analytics capability? - What data do you wish you had access to? - What are the ethical considerations you think about when using people data? - Where do you see the biggest untapped opportunity for AI in HR analytics? Whether you're a data expert or just starting to think about this, your perspective is valuable.

Several members joined because they're thinking about the bigger picture — not just how AI can help them do their current job better, but what AI means for the HR profession over the next 5–10 years. This is a question worth discussing openly: - Which parts of HR do you think AI will automate, and which will remain distinctly human? - How are you thinking about your own career development in light of AI? - What skills do you think will be most valuable for HR professionals in an AI-enabled world? - Are you excited, anxious, or somewhere in between — and why? There are no wrong answers here. This is the kind of strategic conversation that's hard to have in a busy day job, and this community is the right place for it.

One of the most practical and accessible uses of AI for HR professionals is drafting and improving policies, job descriptions, communications, and documentation. Many members are already doing this — but there's a wide range of approaches and levels of confidence. Share what you've tried: - What types of HR documents have you used AI to draft or improve? - What prompts or approaches have worked well for you? - How do you quality-check AI-generated content before using it? - What are the risks you've had to think about (tone, accuracy, legal compliance)? - Any tips for colleagues who are just starting to experiment with this? This is a great thread for sharing practical prompts and techniques — the kind of thing that makes a real difference to your day-to-day work.

Many members are in the position of wanting to move faster on AI but needing to convince their leadership team — whether that's the CEO, CFO, or board — that the investment is worthwhile. If you've successfully made this case (or are trying to), share your experience: - What arguments have resonated with your leadership team? - How did you quantify the potential return on investment? - What objections did you face, and how did you address them? - What would you do differently if you were starting the conversation again? If you're still trying to make the case and looking for help, share where you're stuck — there are likely people here who've been through the same conversation.

We're a mid-size company (about 500 employees) and our HR team is quite traditional. Leadership wants us to adopt AI tools for recruitment screening and employee engagement analytics, but there's significant pushback from the team. Some concerns are around job security, data privacy, and the learning curve. What strategies have worked for others in similar situations? Any specific change management frameworks you'd recommend?