How to use AI in HR without losing the human touch

Many employers are experimenting with AI-led interviewing tools. According to a recent article in The Telegraph, some will “build up a transcript and then evaluate the transcript,” but without capturing tone, personality, or deeper context. That’s exactly where GreatFind Recruitment insists on doing things differently. Here’s why: Context & nuance matter: AI can filter and score, but it can't sense culture fit, work style, or emotional intelligence - those human insights matter for long-term success. Bias & fairness risks: Without human oversight, AI tools can unintentionally exclude people who speak differently, have accents, or express themselves beyond strict patterns. Trust & transparency: Candidates and clients alike expect openness. When AI is part of the process, we explain how it’s used - and we always maintain a human in the loop. Complement, don’t replace: We use tech where it helps (screening, sourcing), but always bring in our recruiters to vet, engage, and judge holistically. If you’re considering AI in your hiring process, don’t let it be a blunt instrument. Use it as a support tool - not a replacement for human judgement. How much AI are you comfortable letting into your recruitment process? (Screening only? Initial interviews? Full assessments?) Let us know - we’d love to compare notes.

The future of hiring is already here. AI resume screening is no longer a concept; it is transforming how HR teams identify, evaluate, and engage talent. In my latest article, I unpack how leaders can adopt automation without losing fairness, accountability, or the human touch. 💡 Key takeaways: ✅ Why manual screening fails in today’s talent market ✅ How AI can scale speed, accuracy, and DEI impact ✅ The six-step NCG Framework for responsible AI governance Read the full story on NCG: 👉 https://lnkd.in/gN3ZCFig #AI #HumanResources #Recruiting #FutureOfWork #EthicalAI #Leadership #NovaraConsultingGroup

While AI-led interviews garner praise for their speed and standardization in the modern hiring race, their social consequences demand equal attention. Structured interviews offer transparency and fairness cues that aid in the integration of newcomers, but AI-led interviews can come across as opaque and impersonal, leading to doubts about their legitimacy and potentially leading to workplace ostracism. The key lies in balance: combining AI tools with human oversight, clearly communicating evaluation criteria, and preventing “score leakage” post-hire. When we implement automation, we must ensure that trust is not automated. 🔗 Check out the full article here: https://lnkd.in/d8mC8s7Y 👉 Would love to hear: how is your organization managing fairness and belonging in AI-driven hiring?

Recently, my colleague and Sharp & Carter National Partner Damien Miller spoke with Human Resources Director about how AI is changing the recruitment industry and not always in ways we expect. It was a great read and refreshing to hear from industry experts on how AI has already reshaped recruitment, and where it’s headed next. A few key takeaways that stood out to me: - AI is everywhere. From automated resume screening to AI-generated interview responses, both candidates and employers are leaning into the tech. - Volume over value. AI-driven applications are flooding HR inboxes, creating scale but also noise. - Authenticity at risk. While many candidates use AI to prep, 28% admit to submitting AI-generated work samples. Most still feel it’s not okay to use AI during live interviews. - Human connection matters. Companies like Google and Canva are doubling down on in-person interviews or transparent AI use. The message is clear: hiring must stay human-centric. - AI ≠ replacement. AI should support candidates helping tailor CVs and prep but not replace their voice or experience. If you're currently hiring or job hunting, I highly recommend giving the article a read: https://lnkd.in/gRHVECsv Would love to hear your thoughts how are you seeing AI impact recruitment in your world?

Never Miss Another Top Performer 70% of Leaders Believe AI is Key to HR Success. This is for you, who have an HR Agency. Your AI agent screens every application in under 2 seconds, 24/7. No more missed opportunities. Here’s an example of what we built for an HR agency in the U.S.: A custom admin platform with AI voice agents that handle the full candidate qualification process before any real interview happens. The AI agents talk to applicants, ask customized questions, and follow the rules each agency defines: How many calls, what to ask, and what to listen for. Your team can review every step, listen to the recordings, and instantly see which candidates truly fit the role. So instead of going through 1,000 CVs, your recruiters start with the 30 that actually matter ...already qualified and ready for a human interview. Brilliant, right? → Instant Candidate Screening Every missed application is a missed opportunity. Every delayed response is a lost top performer. Your AI Agent Never Sleeps While you're closing deals, your AI agent is screening candidates, qualifying talent, and booking interviews automatically. → Smart Talent Qualification Asks the right questions to identify top performers, skills, experience, and cultural fit. → Automatic Interview Booking Books interviews directly into your calendar. No back-and-forth emails. → Follow-Up Automation Sends personalized follow-ups to keep candidates engaged until you're ready to hire. Real Results from Real HR Teams See how leading HR professionals are using AI to dominate their talent acquisition and how you can do it as well. 🚀 Your next top performer might already be waiting in your inbox, let your AI agent find them before your competitor does. [Ready? Book a Call with us] Our website: https://lnkd.in/eCaNqrRm Email contact: Melinav@aibaze.agency Also you can go to check our YouTube channel for more videos.

How AI Is Revolutionizing Resume Screening and What HR Leaders Must Prepare For Recruiters face hundreds of resumes per role, tight deadlines, and rising compliance risks. Artificial Intelligence (AI) is changing resume screening by improving speed, accuracy, and fairness. In my newest article for Novara Consulting Group, I explain: ✅ Why manual screening limits hiring strategy and diversity outcomes ✅ How AI increases speed, consistency, and candidate engagement ✅ Where hidden bias and regulatory exposure still exist ✅ How HR can adopt AI responsibly with governance and transparency AI in recruitment is not plug and play. It is a leadership decision that demands accountability, ethical design, and compliance oversight. Read the full analysis here: https://lnkd.in/gFxQdydJ #AIinHR #RecruitmentAutomation #HRCompliance #FutureOfWork #ArtificialIntelligence #HRLeadership #TalentAcquisition #AEO #SEO #NovaraConsultingGroup #EthicalAI

In startups and fast-growing teams, the challenge is clear: how to hire both well and fast. In her article, Claudia Fernández Sainz (Head of People & Culture at Shakers) shares a powerful view: AI should accelerate the early stages of hiring, filtering, skills assessment, and initial screenings, but final interviews should always remain human. That’s where the real nuances matter. Key takeaways: - Conversational AI can support early screenings, reducing bias and improving efficiency. - Written materials (CVs, cover letters) are less reliable today, since AI is often used to produce them. - Final interviews must stay human-led, to capture personality, cultural fit, and the nuances AI still misses. - Traditional hiring needs an update: shorter processes, faster responses, and early feedback to keep candidates engaged. At Shakers, we believe the future is hybrid: AI + People = faster, fairer, and more human hiring. What’s your take? Where should we draw the line between automation and the human touch in recruitment today? https://lnkd.in/ef7fc6Ye

Feeling stretched thin managing endless candidate pipelines? 🤯 Here’s a stat that might surprise you — 66% of recruiters using AI tools say it lets them spend more time as strategic talent advisors, and 64% report better candidate experiences. Think about that for a sec: instead of drowning in CVs and repetitive screening, you’re freed to shape the story of how talent joins and grows in your organization. 👉 For hiring managers, HR leaders, and talent teams, the message is clear: the question isn’t if you should adopt AI — it’s how you can use it to amplify your human impact. Here’s how you shift from reactive admin to proactive talent strategy: • Define what "good hire" looks like (skills, culture fit, growth potential) • Select AI that reflects your process — a system that aligns with how you screen and evaluate • Use AI for the routine (screening, scheduling) so you focus on the relational (interviews, candidate experience) • Measure both velocity and quality — are you hiring faster and better? • Stay human at key moments — AI can scale the process, but empathy builds trust If you’re responsible for making hiring happen, this is your moment. Shift from volume to intentional, quality hiring. We built Flowmingo for exactly this — to handle the structure and evaluation side of interviews so you can focus on the conversations that matter. Start here 👉 https://lnkd.in/dwNpP27A Let’s move from “we had to fill this role” to “we’re building this team together.” 🚀 #Flowmingo #FlowmingoAI #TalentAcquisition #RecruitmentInnovation #HiringExcellence #AIInterview #Recreuiter

Let me be upfront: I'm pro-AI for efficiency. Without a shadow of a doubt, it’s brilliant for gaining time back, making sense of complex documents, and structuring content so it makes cohesive sense to the reader. But when it comes to the interview stage? For me, that’s not acceptable ❌ We are actively losing the human element during the recruitment process, and that is a massive, irreplaceable part of successful hiring. Hiring for culture and soft skills is just as important as hiring for technical skills. When we over-rely on algorithms, we risk getting the perfect profile instead of the right person. The rise of AI has made it easier to match keywords, forcing a generation of candidates to train themselves to "sound like robots" just to get past the initial screening. This means they are hiding their most valuable assets: their human, soft skills. But here is the truth: Recruiters want to hire people, not robots. 🤖 The skills you think are not important get across in your CV, your unique approach to problem-solving, your emotional intelligence, your adaptability—are precisely what companies need to thrive in a today’s world. The AIHR HR Trends Report highlights that organizations must foster the "Antifragile Worker", the one who grows stronger through challenge. When you hide the skills that make you, you, you are hiding the potential that a company could invest in and help you grow into. My challenge to every job seeker: Be brave. Be authentic. Your unique blend of soft skills is your competitive advantage. Don't let AI filter out the human that recruiters are desperately looking for. https://lnkd.in/gkynRZnq

AI interviews aren’t the risk—unstructured hiring is. Labor demand is cooling: ADP (Oct 1, 2025) reports private payrolls fell 32,000 in September. Indeed Hiring Lab (Oct 2025) shows job postings down 2.5% month over month and remote roles steady around 7.9%. Fewer openings + more applicants per role = pressure to move fast without tripping fairness and compliance. The playbook to get speed and equity at once: 1) Define skills and signals. Replace vague requirements with observable competencies. Use structured scorecards for the same questions every time. 2) Run one reusable, mobile-friendly AI interview. Standardize rubrics, capture highlights, and send to hiring teams to cut scheduling delays. 3) Add guardrails. Verify identity/environment to deter deepfakes; log decisions; audit quarterly for adverse impact and calibration drift. 4) Remove handoffs that create drop-off. Let qualified candidates apply direct to hiring teams, show pay bands, and keep status transparent. Tools like Sprounix make this practical: a single structured AI interview with scorecards and highlights, direct-to-team applications, verified roles, confidential searches, and pay-only-when-you-hire. Candidates get a free AI career agent and ~90-second onboarding. If you’re deciding whether to pilot, start with one role. Track time to first response, interview completion rate, pass-through by stage, adverse impact ratio, and time-to-offer. You’ll know within two cycles if this flips your signal-to-noise.