Bob See

Everyone’s racing to add AI. But if your staffing stack is fragmented, AI just accelerates the chaos. More tools. More duplicate data. More reporting gaps. Leverage doesn’t come from features. It comes from infrastructure. Staffing firms that scale remove friction. They don’t buy more software. Where’s your biggest bottleneck right now? #StaffingIndustry #StaffingTechnology #StaffingLeaders #RecruitingOperations

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The 3 hires that will make or break your TA team this year Most TA leaders hire for volume. The best ones hire for leverage. Most TA leaders build reactive teams - headcount chasing req count. The best talent acquisition leaders I know build for leverage. They hire fewer people, positioned more strategically. The 3 hires that actually move the needle: 1. A sourcing specialist (not just another recruiter) This person lives in LinkedIn Recruiter, boolean strings, and passive candidate pipelines. They exist so your full-cycle recruiters spend less time hunting and more time closing. One great sourcer can unlock the capacity of 2-3 recruiters. 2. A recruiting coordinator who's actually ops-minded Not just scheduling interviews. Someone who sees process gaps, owns the ATS hygiene, and is thinking about candidate experience at every stage. This hire protects your employer brand silently every single day. 3. A data person (or a recruiter who loves data) Metrics-blind TA teams fly in the dark. Time-to-fill, offer acceptance rate, source quality, interview-to-offer ratio - someone needs to own this and translate it into decisions. Not just dashboards. Decisions. What most TA leaders actually hire instead: another full-cycle recruiter to absorb req load. Which temporarily solves volume, but doesn't fix the structural issues that created the backlog in the first place. Build for leverage. Not just capacity. Which of these three is your team missing right now?

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The "Old Way" of recruiting is officially broken. ❌ Traditional agencies are too slow, too expensive, and carry too much overhead. I’m excited to announce that I am officially launching The $99 Recruiter community on Skool! 🚀 We are disrupting the industry by leveraging AI-powered screening and high-velocity sourcing to deliver "gold standard" talent for a flat $99 fee. No high-percentage commissions. No 90-day wait times. Just elite talent, delivered fast. Whether you are a business owner looking to hire without the massive price tag, or an aspiring recruiter looking to build your own "Business-In-A-Box," this community is for you. ✨ Join the revolution here: https://lnkd.in/gG4tD9qm Amanda Deschamps 🇨🇦 Founder & Principal Architect The $99 Recruiter: Business-In-A-Box #The99Recruiter #RecruitmentRevolution #Hiring #AIScreening #Entrepreneurship

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Staffing pros: Want to attract better candidates and fill roles faster? Here’s a targeted AI prompt that works as a job description optimizer, turning clunky postings into candidate magnets in seconds 🚀. How it works: Copy & paste the prompt below into your LLM of choice. Want to make these more secure? Ask ChatGPT to write a python script that you can run in a secure environment instead of uploading data. Prompt to use: Rewrite the following batch of job descriptions to improve apply rates and attract more qualified candidates. For each JD, simplify the language, highlight key motivators (pay, schedule, growth), and format for mobile readability. Tailor tone and content to the target industry and candidate audience. Return optimized versions for each role in the batch. Step 1: Rewrite and format for clarity, motivation, and mobile readability - Use everyday language and short, skimmable sentences - Remove jargon and overly corporate phrasing - Emphasize key motivators: pay, schedule, flexibility, growth opportunities - Break up dense paragraphs with bullets (max 6 per section) - Front-load critical details (pay, hours, location, requirements) - Include a clear call to action (e.g., “Start this week”) - Optionally add a one-line, SMS-friendly version (≤160 characters) - Make the JD appealing to the typical candidate in that industry Step 2: Customize tone and structure by industry - Healthcare → caring and professional; highlight license fit, patient load, shift stability - Home Health → friendly and supportive; highlight proximity, independence, flexibility - Live Events → casual and energetic; highlight pay per gig, experience, scheduling - Light Industrial → clear and direct; highlight steady hours, OT, safety - Security → professional and firm; highlight shift hours, licensing, site type Step 3: Output format for each role - Title - Summary (2–3 lines) - Responsibilities (4–6 bullets) - Requirements (3–5 bullets) - Benefits (3–5 bullets) - Call to Action - SMS-friendly version What to upload to the LLM - A batch of job descriptions - For each role, include: title, location, pay, schedule, industry, certifications, and any other critical details Want more prompts? Download our free kit – link in comments You’ll also get: ✨ A screening question generator (best things to ask every applicant) 🦾 Passive engagement prompts (personalized outreach to top talent)

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Recruiters, your tech stack might be costing you top talent. Still flipping between tabs, chasing resumes, and juggling disconnected tools? It's time to trade the chaos for clarity. We break down how to build a streamlined, future-ready recruiting stack—powered by RecruitBPM. Swipe through to see what a high-performing hiring engine really looks like. Your next great hire deserves better. So does your process. #RecruitBPM #RecruitmentTechnology #HiringSimplified #HRTech #RecruitmentStack #ATS #TalentAcquisition #HiringSolutions #RecruitSmarter #DigitalRecruiting #FutureOfHiring

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Contingent recruiting needs to go. It’s outdated and bad for business. → You only pay if a hire is made → So recruiters push resumes fast, not right → No strategy, no partnership (usually, I know there are exceptions to the rules so generalizing here, before the keyboard warriors get me). What contingent recruitment can do (especially if you have your rec out with a bunch of them at the same time):: → 3 recruiters fighting to send the same candidate → No one actually learning the business → Hiring managers drowning in noise Quality and strategy gets lost. Growthwise partners with high-growth companies that want real recruiting and not a resume gamble. We embed with your team We learn your roadmap (and help guide and advise you, and give you tools along the way) Strategy first hiring.

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AI is becoming a bigger part of everyday recruiting work. That shift is putting more weight on relationships. As automation embeds deeper into workflows, trust shows up everywhere it matters. 🌟 Between leaders + teams. 🌟 Recruiters + candidates. 🌟 Clients, partners, + the platforms they rely on. On the Full Desk Experience, Kortney Harmon shares a grounded perspective: trust has to come first. Before new systems scale. Before adoption sticks. Before growth holds. This episode explores how recruiting organizations intentionally build trust while technology accelerates. 🎧 Full episode, "Eight Signals Redefining Recruiting Leadership in 2026" in the comments.⤵️ Where does trust matter most inside your firm right now? #FullDeskExperience #FDE

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AI can screen thousands of resumes in seconds. It can match skills to job descriptions, assess candidate profiles, and automate outreach without breaking a sweat. It saves time, cuts costs, and delivers structured output at scale. But it can also miss the point. AI does not grasp intent, nuance, or context the way a human recruiter can. It might eliminate strong candidates because of keyword gaps or filter out potential fits who took unconventional career paths. It can also reinforce existing biases if trained on biased data. At EQ140, we use AI to speed up what machines do well but we never let it replace what only people can do. We still call. We still listen. We still spot potential that isn’t always obvious on paper. Technology should support judgement, not replace it. Let AI do the sorting. Let us do the selecting. That’s how good hires happen. DM us and let’s talk. #EQ140 #AI #EQ #Recruitment #HiringRight #Tech #Hiring #JobSearch #EmotionalIntelligence

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Most companies think AI in recruiting is a sourcing tool. It's bigger than that in 2026. Buyers now find staffing firms through ChatGPT and Claude. Candidates auto-filter recruiter outreach with LLM prompts. Screening fraud is quietly tripling underneath all of it. At KORE1, ChatGPT-referred traffic bounced at 60% versus 92% direct, and sessions ran 2x longer. Our 17-day average time-to-hire moved with our AI adoption, not against it, because we kept humans at the judgment layers. If your firm isn't named when a CTO asks a chatbot, you're not in the consideration set at all. Read the full breakdown: https://lnkd.in/gvhZBPKy #ITStaffing #AIinHiring #TechRecruiting

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Hiring in 2026 is about capacity, not just talent. The companies winning right now are building flexible recruiting engines that scale when demand spikes and stabilize when things normalize. Internal teams are strong. What they often need is execution bandwidth. Offshore contract recruiter pods give you: • Consistent submission velocity • Proactive talent mapping • Extended coverage across time zones • Structured screening before hiring manager review • Immediate scalability without operational friction This model works best for organizations hiring at volume, operating inside MSP or enterprise environments, or managing fluctuating demand. 2026 will reward companies that build recruiting flexibility into their operating model. If your hiring volume shifts quarter to quarter, this is worth a conversation. #TalentAcquisition #RecruitmentStrategy #StaffingSolutions #RPO #OffshoreRecruitment #EnterpriseHiring #MSP #ScalingTeams #WorkforceStrategy #RecruitingLeaders

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The Right Recruiting Partner Doesn’t Just Fill Roles. They Build Trust. Strong #recruiting partnerships aren’t transactional. They’re built through consistency, transparency, and follow-through. When expectations are clear, communication is honest, and quality is prioritized over volume, hiring becomes more efficient, and outcomes improve. The goal isn’t just to hire quickly, but to hire well, with confidence on both sides. That’s the standard I bring to every search. #RecruitingPartner #TalentStrategy #DirectHire #BelleLynnSourcingLLC

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TA tech stacks have gotten out of control. Many teams are juggling recruiter notebooks, spreadsheets, CRMs, multiple sourcing tools, and an ATS - making reporting messy, slow, and inconsistent. In 2026, the TA teams that win won’t be the ones adding more tools… They’ll be the ones simplifying. ✨ Fewer platforms ✨ Cleaner data ✨ Better visibility ✨ One source of truth That’s why we built Hiregate - a comprehensive Recruiter/Candidate Tracking System that pulls together all of the data from spreadsheets, CRMs, sourcing tools, and your ATS into one streamlined platform. No more chasing down updates. No more fragmented reporting. Just clarity, speed, and a tech stack that actually works with you. If your team is buried in too many tools, it might be time to rethink the stack: 🔗 https://hubs.ly/Q03VZl5F0 What’s one tool you wish you could remove from your workflow tomorrow? 👇Drop your thoughts below #TalentAcquisition #Recruiting #HRTech #RecruitingTech #HiringTrends #PeopleOps #TalentStrategy #FutureOfWork #Hiregate

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TA teams are using AI for referral matching in ways that might surprise you. Most referral programs still rely on manual matching processes where TA coordinators spend hours reviewing job descriptions and scanning through employee profiles, trying to guess who might know good candidates while missing obvious connections in the process. We use AI to completely reverse map this approach by identifying potential matches and surfacing them as personalized recommendations instead of forcing employees to remember everyone in their network who might be a fit. Our AI analyzes experience patterns, location data, and professional backgrounds to suggest relevant connections that would otherwise go unnoticed. But the real breakthrough comes from bidirectional matching, which means candidates can also see who in their network works at companies with matching opportunities. When someone is looking for a software role, they can discover they're connected to three people at companies hiring developers, giving them an inroad beyond traditional applications while referrers get rewarded for introductions they might never have thought to make. We keep the human element critical throughout this process because while AI surfaces possibilities, people still make the final call on who to recommend and why. Our system intentionally maintains broader recommendation thresholds rather than trying to be perfectly specific, since the best referrals often come from unexpected connections that pure data matching would miss. The efficiency transformation happens immediately because what used to take TA teams 4 hours per week now happens automatically, while employees get personalized recommendations delivered to their phones and candidates discover warm introductions they didn't know existed. This collaboration model works because AI handles the complex pattern recognition while humans handle the relationship judgment, allowing us to amplify network intelligence rather than replace the human insight that makes referrals valuable in the first place. How is your team currently handling referral matching, and where do you see the biggest inefficiencies?

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⏱ Cutting hiring time from 10 days to just 4? That’s not a small tweak—that’s a 60% faster process. 7-Eleven Mexico pulled it off while still managing massive applicant volumes and giving candidates a smoother experience. How? By leaning on Talkpush automation to: - Handle scale without burning out recruiters - Deliver faster, clearer hiring decisions - Keep the candidate journey simple and human It’s proof that speed and quality don’t have to be trade-offs. 👉 Full case study here: https://lnkd.in/ebteMT-F

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TA tech stacks have gotten out of control. Many teams are juggling recruiter notebooks, spreadsheets, CRMs, multiple sourcing tools, and an ATS - making reporting messy, slow, and inconsistent. In 2026, the TA teams that win won’t be the ones adding more tools… They’ll be the ones simplifying. ✨ Fewer platforms ✨ Cleaner data ✨ Better visibility ✨ One source of truth That’s why we built Hiregate - a comprehensive Recruiter/Candidate Tracking System that pulls together all of the data from spreadsheets, CRMs, sourcing tools, and your ATS into one streamlined platform. No more chasing down updates. No more fragmented reporting. Just clarity, speed, and a tech stack that actually works with you. If your team is buried in too many tools, it might be time to rethink the stack: 🔗 https://hubs.ly/Q03VZlJ30 What’s one tool you wish you could remove from your workflow tomorrow? #TalentAcquisition #Recruiting #HRTech #RecruitingTech #HiringTrends #PeopleOps #TalentStrategy #FutureOfWork #Hiregate

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