Human Cloud

Every company says they want to move faster. Fewer say they want to change how they hire to get there. That gap between knowing the flexible workforce works and actually adopting it is where most of the industry is stuck. The pitch is obvious. The execution is not. Yurii Lazaruk has spent the last four years building freelance communities and connecting independent talent with companies across Europe. Now, working with FreelancerMap to grow the Polish market, he is on the front lines of a problem that has nothing to do with talent supply. He reached out to over a thousand HR and recruiting leaders. Most did not respond. The ones who did said thanks, not interested. The blockers are not about compliance or cost. They are about fear, fixed mindsets, and the fact that no one inside the company wants to own the decision. We are building Human Cloud to remove that friction from the company side, so businesses can discover and deploy flexible talent solutions without the months of internal politics and procurement cycles. In this episode, Yurii shares: Why he reached out to 1,000+ HR leaders in Poland and what the near-zero response rate taught him about enterprise adoption The Microsoft permatemp lawsuit from 1999 and why its shadow still blocks flexible talent adoption 25 years later How 92% of new freelance projects at Microsoft came from colleagues talking to each other, not from education or top-down mandates Why the only way to break through corporate fixed mindsets is to capture leaders in their "shit moments" when the pain is acute What startups get right about flexible talent that enterprises refuse to try, and how the responsibility hot potato kills adoption from the inside Yurii Lazaruk is a freelance community builder and market developer at FreelancerMap, organizer of Freelance Unlocked Berlin, and host of the Independent Workforce Podcast. He has built freelance ecosystems across Europe and is currently focused on opening the Polish market to independent talent adoption. Listen now on Apple Podcasts, Spotify, or wherever you get your podcasts. About Human Cloud: We help companies find and deploy the right flexible talent solutions in minutes instead of months. We automate discovery, compliance, and orchestration across 1,000+ workforce platforms so business teams move fast, procurement teams stay in control, and rogue contractor spend turns into a strategic advantage.

In this episode, Matthew Mottola sits down with João Lucio, a veteran of global system integrators who spent more than 30 years inside firms like Accenture and Cognizant — including leading Cognizant's Latin American operation of 5,000+ people across seven countries. After decades on the inside, João reached a clear conclusion: the traditional staffing and tech consulting model is broken. The thrill of winning a deal is always followed by the intense scramble to assemble the right team to actually deliver. That insight led him to build beecrowd — not as an HR or staffing marketplace, but as a platform designed by people who have delivered real projects and owned real outcomes. beecrowd validates tech talent through gamification, competitive programming, and AI-powered assessments, replacing résumés and interviews with objective proof of what developers can actually do. The results speak volumes: 1.2 million users, 70% based in LATAM 93% placement accuracy Zero performance-based replacements in five years In the conversation, we dive into: Why traditional staffing fails at the seam between sales and delivery How blended squads (junior + senior, bilingual + monolingual) reshape nearshore economics How AI is compressing the value of legacy GSIs Why outcome-based engagements are replacing time-based staffing How academic pipelines are building tomorrow's talent pool today beecrowd now ranks in the top 1% of solutions on Human Cloud — and João's perspective offers a clear look at where tech talent and delivery models are heading next. About Human Cloud: We help companies find and deploy the right flexible talent solutions in minutes instead of months. We automate discovery, compliance, and orchestration across 1,000+ workforce platforms - so business teams move fast, procurement teams stay in control, and rogue contractor spend turns into a strategic advantage.

The AI wage gap is already 56 percent. That number comes from PWC, which analyzed six billion job postings and found that workers who can build with AI earn more than half again what their peers make. And in HR, a function that has historically been last to adopt new technology and first to feel the consequences, that gap is accelerating. Yuri Kruman has lived on both sides. After a winding career through neuroscience, law, finance, and a string of startups, he landed in HR leadership right as COVID hit. Now he builds AI agents, workflows, and commercial-quality tools using nothing more than Claude and Perplexity. His newsletter, Leverage Brief, and his cohort course through Forward Achieve are designed to help CHROs and VPs of HR make the same leap from operator to builder. We are building Human Cloud to solve the same problem from the company side, helping businesses discover and deploy the right workforce solutions so they can move fast without the usual procurement friction. In this episode, Yuri shares: Why the AI wage gap (56% per PWC) is already larger than the gender pay gap and growing fast How he builds five AI products simultaneously every morning using Claude, without writing a line of code The difference between "operator mode" and "founder mode" for HR leaders, and why that shift matters now What he learned teaching AI to Wharton CHROs and why the perception gap is the real barrier How HR professionals can go from passive tool users to builders who commercialize their own solutions Yuri Kruman is an HR leader turned AI builder who has trained AI models for Meta, Microsoft, and OpenAI. He is the creator of Leverage Brief and a partner at Forward Achieve, where he leads cohort courses helping HR executives close the AI skills gap. Listen now on Apple Podcasts, Spotify, or wherever you get your podcasts. AI Builder Cohort for HR Execs: Forward Achieve Cohort Leverage Brief Newsletter: leveragebrief.beehiiv.com About Human Cloud: We help companies find and deploy the right flexible talent solutions in minutes instead of months. We automate discovery, compliance, and orchestration across 1,000+ workforce platforms so business teams move fast, procurement teams stay in control, and rogue contractor spend turns into a strategic advantage.

Most managers get promoted because they were great individual contributors — not because anyone taught them how to lead. The result: a management gap that drives turnover, kills team morale, and costs organizations millions. And the standard fix — a one-day leadership workshop — fades from memory before the week is out. Kim Lee saw this pattern across every industry she worked in during 20+ years in HR, from Silicon Valley tech to healthcare to nonprofits. So she wrote the playbook — literally. Her book, Building a Culture: The Ripple Effect on Performance and Growth, lays out the framework. Then she built RippleIQ, an AI-powered coaching app that turns that framework into a daily practice managers actually stick with. We're building Human Cloud to solve the other half of that equation — helping companies find and deploy the right flexible talent solutions, including leadership development platforms like RippleIQ, in minutes instead of months. In this episode, Kim Lee shares: Why the #1 reason leadership training fails has nothing to do with the content — it's the lack of sustained reinforcement after the workshop ends How she used vibe coding and AI tools to build a full coaching application as a non-technical HR professional Why AI coaching isn't replacing the human in HR — it's creating a safe space for managers to practice difficult conversations before they happen The micromanagement trap: how the skills that get you promoted are often the ones that make you a terrible manager How combining a book, an app, and consulting creates a measurable leadership development ecosystem that HR leaders can actually track ROI on Kim Lee is a 20+ year HR veteran, former VP of Talent Management, SPHR-certified, and founder of Lotic Systems. Her book launches March 12, 2026. Listen now on Apple Podcasts, Spotify, or wherever you get your podcasts. About Human Cloud: We help companies find and deploy the right flexible talent solutions in minutes instead of months. We automate discovery, compliance, and orchestration across 1,000+ workforce platforms — so business teams move fast, procurement teams stay in control, and rogue contractor spend turns into a strategic advantage.

The fractional executive market is exploding, but most companies are still thinking about it wrong. They ask how many hours they need. They should be asking what impact they need. Maggie Ruvoldt spent over a decade scaling an EdTech company from 100 people to 5,000, from $30 million to $1 billion in revenue. When she left, she stumbled into fractional CHRO work and discovered something most full-time leaders miss: the skills you use to juggle internal stakeholders as a C-suite executive are the exact same skills you need to juggle multiple fractional clients. We're building Human Cloud to help companies find that caliber of talent on demand, so business teams stop waiting months for strategic hires and start deploying fractional leaders in days. In this episode, Maggie shares: Why companies should stop measuring fractional leaders in hours and start measuring them in impact, and how to reframe the conversation from "percentage of time" to "attributes and outcomes" How she manages scope creep across multiple clients by setting expectations upfront and treating every expansion as a new negotiation Why networking is a bank account where you have to deposit relationship currency long before you need to make a withdrawal Her take on "human in the loop" as a dangerous phrase that treats human judgment as an afterthought instead of native to the design The financial and emotional reality of going independent, including the feast-or-famine cycles that nobody talks about publicly Maggie Ruvoldt is a fractional CHRO, HR advisor, and startup mentor who has held senior people leadership roles at high-growth technology companies. She is an advisor for Semper Viren and a regular fixture at Transform, the leading HR technology conference. Listen now on Apple Podcasts, Spotify, or wherever you get your podcasts. About Human Cloud: We help companies find and deploy the right flexible talent solutions in minutes instead of months. We automate discovery, compliance, and orchestration across 1,000+ workforce platforms, so business teams move fast, procurement teams stay in control, and rogue contractor spend turns into a strategic advantage.

Independent contractor compliance is the 900-pound gorilla blocking enterprises from scaling flexible talent. The platforms exist. The talent exists. But most companies get 10 freelancers in the door and never get to 1,000 because compliance shuts it down. Jeff Nugent has watched this play out across three decades and three companies. He started in IT staffing in the mid-90s, built one of the first MSP/VMS solutions, then founded one of the first employer of record companies, which merged into People 2.0 and became the world's largest EOR. Now his third venture, Independently, tackles what he calls the linchpin of the entire flexible talent ecosystem. We are building Human Cloud to solve the same problem from the company side, helping businesses discover and deploy the right workforce solutions so they can move fast without the usual procurement friction. In this episode, Jeff shares: Why IC compliance is the single biggest obstacle to enterprise flexible talent adoption How taxation drives everything and why IC laws are never going away What went wrong with the first wave of freelance platforms and why they failed the enterprise Why AI is creating more demand for flexible talent, not less How legal liability flows to the deepest pockets first and what that means for platforms and buyers Jeff Nugent is a three-time entrepreneur in the workforce compliance space. He founded one of the first employer of record companies, built it into the world's largest (People 2.0), and now leads Independently, the compliance verification standard for independent contractors working through freelance platforms, staffing firms, and direct enterprise engagements. Listen now on Apple Podcasts, Spotify, or wherever you get your podcasts. About Human Cloud: We help companies find and deploy the right flexible talent solutions in minutes instead of months. We automate discovery, compliance, and orchestration across 1,000+ workforce platforms so business teams move fast, procurement teams stay in control, and rogue contractor spend turns into a strategic advantage.

p>Security isn't just an IT problem — it's the single biggest demand limiter for freelance talent in the enterprise. Every time a company considers engaging a contractor, the first question isn't cost or quality. It's: can we trust them with our data? Paul Vallee has spent 25+ years building the infrastructure to answer that question. His company Tehama builds data enclaves — secure, cloud-hosted environments where freelancers work inside your perimeter without ever touching your data. We're building Human Cloud to give companies a front door to the flexible workforce — so talent access gets solved in minutes, not months. But access means nothing without trust. That's where Tehama comes in. In this episode, Paul shares: Why "zero trust" isn't about distrust — it's the architecture that actually lets you trust freelancers more How the Target breach (via an HVAC vendor) still shapes enterprise thinking about third-party access The CMMC rule affecting 200,000–400,000 businesses — and why data enclaves are the compliance shortcut His "casino analogy" — supervision technology amplifies trust the same way cameras let casinos trust croupiers with more cash Why shipping laptops is slower, more expensive, AND less secure than virtual enclaves Paul Vallee is a lifelong data custody advocate, founder of Pythian (550-person remote operations firm), founding member of the Digital Governance Council of Canada, and a senior fellow at CIGI, a global top-30 think tank. Listen now on Apple Podcasts, Spotify, or wherever you get your podcasts. About Human Cloud: We help companies find and deploy the right flexible talent solutions in minutes instead of months. We automate discovery, compliance, and orchestration across 1,000+ workforce platforms — so business teams move fast, procurement teams stay in control, and rogue contractor spend turns into a strategic advantage.

Work is fragmenting faster than anyone can track. While Human Cloud aggregates the solutions, JJ aggregates the work. Every role is niching down. Every platform covers a fraction of the market. And on both sides — freelancers looking for gigs and companies looking for talent solutions — nobody can see the full picture. That's the Great Aggregation: the moment the market got too fragmented to navigate without an infrastructure layer pulling it all together. JJ Lammers built AllGigs to aggregate the freelancer side — pulling opportunities across platforms and geographies so independents stop competing for the same 3,000 jobs and start finding the thousands hidden in plain sight. We're building Human Cloud to aggregate the company side — so businesses discover the right workforce solution in minutes instead of months. In this episode, JJ Lammers shares: • Why the Great Aggregation is happening now — jobs are fragmenting into hyper-specialized niches that didn't exist two years ago • How AllGigs aggregates the full freelance job market to cut €12,000/year in opportunity costs to zero • The rate negotiation power imbalance: companies and recruiters both push rates down, nobody helps freelancers up • Why AI isn't killing freelance jobs — roles are niching down, not disappearing • How the aggregation thesis applies to both sides of the market — and why Human Cloud and AllGigs are solving the same problem from opposite endsJJ Lammers is the Founder of AllGigs, a freelance operating platform aggregating opportunities across Europe to solve the discoverability problem for independent professionals. Listen now on Apple Podcasts, Spotify, or wherever you get your podcasts. --- About Human Cloud: We help companies find and deploy the right flexible talent solutions in minutes instead of months. We automate discovery, compliance, and orchestration across 1,000+ workforce platforms — so business teams move fast, procurement teams stay in control, and rogue contractor spend turns into a strategic advantage.

Pure SaaS had its moment. In a world where anyone can vibe code a front end over a weekend, the software is becoming commodity. What becomes scarce — and valuable — is domain expertise, real customer relationships, and knowing which problems actually matter. Tom Pammenter spent 15 years supplying freelancers in UK broadcast and production. He built Hive 25 to fix the chaotic middle that every FMS ignores — the booking engine where availability and suitability are the foundation, not an afterthought. We're building Human Cloud to aggregate the company side — so businesses discover the right niche specialist like Hive 25 in minutes instead of evaluating hundreds of generic platforms. In this episode, Tom Pammenter shares: Why "Software with a Service" (SWAS) is replacing pure SaaS — buyers want humans and expertise behind the login, not just a platform How Hive 25 replaced a broadcaster's 6-person bookings team with one person and a purpose-built platform The FMS evolution from beautiful idea to heavy workflow — and why niche specialists are winning over generalists Why broadcast has been freelance-first for decades — and it's a preview of where every industry is headed How the booking workflow between onboarding and payment is where the real chaos (and real value) lives Plus Jack Spencer joins with a decade of FMS evolution context. Tom Pammenter is the Founder of Hive 25, a freelance management platform purpose-built for production and broadcast. Listen now on Apple Podcasts, Spotify, or wherever you get your podcasts. This episode is proudly sponsored by: GreenLight.ai, the modern EOR for the modern workforce. Meet GreenLight.ai at https://app.humancloud.com/profile/greenlight-ai About Human Cloud: We help companies find and deploy the right flexible talent solutions in minutes instead of months. We automate discovery, compliance, and orchestration across 1,000+ workforce platforms — so business teams move fast, procurement teams stay in control, and rogue contractor spend turns into a strategic advantage.

Most companies overpay for engineering talent and underpay the engineers doing the work. Jose De Cabo built Remotely to fix that — a fully transparent model where developers set their own rates and companies cut costs by 50% while getting better talent. In this episode, Jose De Cabo shares: How he analyzed 45 million developer profiles through open-source code audits to find the top 2-3% of LATAM engineers Why traditional staffing margins are collapsing and how his transparent pricing model disrupts the 100% markup status quo Where AI is shifting the bottleneck from "who can code" to "who can orchestrate humans and agents together" Jose De Cabo is the founder of Remotely, a Columbia Business School grad turned serial entrepreneur who has been building engineering teams in Latin America since 2010. His company employs 500+ senior developers across LATAM with a team of just 30. Listen now on Apple Podcasts, Spotify, or wherever you get your podcasts. Sponsor: This episode is sponsored by GreenLight.ai, the modern EOR for the modern workforce. About Human Cloud: We help companies find and deploy the right flexible talent solutions in minutes instead of months. We automate discovery, compliance, and orchestration across 1,000+ workforce platforms—so business teams move fast, procurement teams stay in control, and rogue contractor spend turns into a strategic advantage.