Beamery

More applicants doesn't always mean better hires. Join Beamery and talent thought leader Mike Catapano on Wednesday 15th July as we discuss how to cut through the volume and focus your strategy on the "vital few" talent — the candidates who will actually move the needle. Find out more and register here: https://lnkd.in/ed6EQhs2

AI in workforce management can’t just be applied — it has to be understood. As Rami Albatal recently outlined in his perspective on domain-driven AI, the real unlock isn’t simply calling an API — it’s building intelligence that understands the language of work itself. Titles, skills, roles and capacity signals are highly contextual. A “Senior Engineer” or “Transformation Lead” means something very different depending on organisational scale, maturity and strategic priorities. Generic models struggle to interpret that nuance — which is why workforce decisions often still rely on incomplete or outdated signals. At Beamery, we’re focused on developing AI that is trained on these real-world workforce patterns — enabling organisations to move beyond automation and towards truly governing talent as a strategic asset. When AI understands how work actually flows across teams, skills and initiatives, leaders can uncover hidden capacity, make more confident investment decisions and drive transformation with far greater precision. This is what happens when AI becomes an operating capability — not just a feature.

More applicants. Yet worse hires. It’s a paradox many Talent leaders are quietly facing right now. Over the past few years, application volumes have surged. But behind the scenes something worrying is happening. The talent that actually drives business performance rarely arrives through the application process. Most hiring systems today are optimised for: • speed • volume • requisition fulfilment But not for identifying the talent that creates disproportionate value inside organisations. Research increasingly shows that in many companies as little as 5% of roles create 95% of the value — yet those critical hires are often sourced through the same reactive application-led process as entry-level roles. The result? More applicants. More noise. But not necessarily stronger hiring decisions. That’s exactly what we’ll be exploring at an upcoming Beamery executive breakfast in London on 18th March. Theme: More Applicants, Worse Hires: The Hidden Cost of Inbound Recruiting A closed-door discussion for senior Talent leaders on: • Why applicant-led hiring is creating a false sense of progress • Why critical roles rarely get filled through job applications • How leading organisations are shifting from application processing → talent strategy • What proactive talent pooling and internal mobility actually look like in practice There are no slides and no vendor pitch — just a structured conversation with peers navigating similar challenges. If you’re a CHRO, HR Director, VP Talent, Head of Talent or Talent Director, I’d love to have you join the discussion. #CHRO #HRLeadership #TalentStrategy #FutureOfWork #TalentAcquisition #WorkforcePlanning #PeopleStrategy Register below https://lnkd.in/eKfMJxjw

International Women’s Day is a moment to recognise progress — and reflect on the work still ahead. Across industries, organisations are rethinking how work gets done. AI, automation and changing skills demands are reshaping the workforce faster than ever before. In that transformation, one thing is clear: Building equitable and inclusive workplaces isn’t separate from business performance — it’s fundamental to it. When organisations understand their workforce at the level of skills, capability and potential, they create opportunities to: • unlock talent that may otherwise be overlooked • build more diverse leadership pipelines • create fairer access to growth and mobility • design work that works for everyone At Beamery, we believe the future of work should be built around human potential — not just job titles or traditional career paths. Today we celebrate the women across our team, our customers and our community who are helping shape that future. Happy International Women’s Day. #InternationalWomensDay #IWD2026 #FutureOfWork #WorkforceTransformation #WomenInLeadership

AI investment is exploding. AI ROI… not so much. At our CxO Breakfast in London last week, we discussed a paradox many organisations are now facing. • $2.5 trillion in global AI investment expected by 2026 • Yet only 2% of executives expect truly transformational ROI • And just 7% of enterprises currently have production-grade AI deployments So the question isn’t whether organisations are investing in AI. It’s whether they’re governing the work AI is changing. A few insights that sparked the most discussion in the room: 1️⃣ Human capital is the largest cost line on the P&L — yet one of the least governed assets. Most companies can track headcount and payroll but struggle to answer: • What work is actually being performed • Where duplication exists • Which tasks create real value 2️⃣ Organisations are about to be structurally reshaped. Research suggests 91% of executives expect org charts to change in 2026, with 93% expecting new roles to emerge within six months of AI adoption. 3️⃣ Hidden capacity is everywhere — but invisible. In one example we discussed, 45% of finance work had automation potential, concentrated in just two sub-functions. Which raises a bigger question: Are we managing labour as cost — or governing work as capital? Huge thanks to Marcus Downing and Cory S. for helping moderate a really thoughtful discussion with leaders across finance, HR, strategy and technology. Given the level of interest, we’ll be hosting the next CxO Breakfast in London in late April / early May to continue the conversation.

Global AI investment is projected to reach $2.5 trillion by 2026. Yet: • Only 2% of executives expect transformational ROI • Only 7% of enterprises have production-grade deployments The issue isn’t model performance. It isn’t infrastructure. It isn’t ambition. It’s structure. Most organisations are still managing transformation at the role level. AI doesn’t change roles. It changes tasks. And when work is organised around titles instead of task-level reality, something dangerous happens: - Invisible capacity accumulates. - Duplication hides inside functions. - Automation potential concentrates quietly in specific sub-areas. - Pilots scale horizontally — but never deeply. In one enterprise example, over 45% of finance work volume had high automation potential — but it was concentrated in just two sub-functions. Without task-level visibility, that value would never surface. We call these blind spots Capacity Ghosts. They are the reason AI ambition keeps outrunning AI value. The organisations pulling ahead are not asking: “How do we deploy more AI?” They’re asking: • Where is work actually concentrated? • Which tasks drive value? • Where is capacity hidden? • What changes structurally when AI is introduced? This is no longer about adoption. It’s about governance. If AI is reshaping work, then work must become measurable. The future advantage won’t belong to those who invest the most in AI — but to those who redesign how work is understood. 📄 Sharing the full paper below.

AI investment is accelerating. Global AI spend is projected to reach $2.5 trillion by 2026. Yet transformational ROI remains rare. Most organisations are investing heavily in AI… But scaling beyond pilots continues to stall. Why? Because AI doesn’t fail at the model level. It fails at the work level. We call these hidden blockers “capacity ghosts” — invisible friction created when organisations redesign at the role or function level, while AI reshapes work at the task level. When you can’t see how work is actually performed, you can’t: - Quantify addressable AI spend - Eliminate duplication and low-value activity - Link automation to explicit cost outcomes - Redesign roles dynamically as work evolves - Scale transformation beyond isolated pilots That’s why we’re convening a private breakfast discussion for C-level leaders in London: Capacity Ghosts: Why the Billion-Dollar AI Pivot Dies in Human Silos 📍 Central London 🗓 Thursday 5th March ⏰ 08:30–11:00 This is not a presentation. No slides. No vendor pitches. Just a structured, peer-led discussion on how leading enterprises are: • Moving from org charts to task-level visibility • Linking AI investment to real productivity outcomes • Making workforce capacity measurable and governable • Bridging strategy, transformation, and technology leadership If you’re a C-level executive navigating AI scale, workforce redesign, or transformation governance — and want to exchange perspectives with peers — we’d welcome you to join. Limited seats available. You can sign up via the the below landing page #AI #WorkforceTransformation #EnterpriseAI #CLevel #Strategy #Transformation #DigitalLeadership https://lnkd.in/ebDTjRNP

The Beamery Team was with the British Embassy Madrid last week for an insightful event covering how AI innovation is driving real impact across leading organisations globally. We were delighted to share practical examples alongside Fernando Bellón de Aguilar of #BBVA, of how AI is moving beyond experimentation and delivering measurable business value, particularly when it comes to transforming talent strategy and workforce planning. A special thank you to Adam Defusto for representing Beamery, KPMG & Vertice for your thought-provoking presentations, and to the British Embassy Madrid team for bringing together such an engaged and thoughtful group to explore how AI can help shape workforce transformation and the future of organisations.

💡 Why are enterprise AI investments growing, but outcomes lagging? Capacity Ghosts: Why the Billion-Dollar AI Pivot Dies in Human Silos explores a critical reality: AI value isn’t limited by models, it’s limited by how work and human capacity are structured inside organisations. Invisible capacity trapped in fragmented roles, siloed functions and unmeasured tasks is now the single biggest barrier to scaled AI impact. Read the whitepaper below. 📅 Join us on Thursday 5th March in London for an interactive breakfast conversation with senior Strategy, Transformation, Technology and Customer Experience leaders. We’ll explore: - Why AI investments too often stall in pilot mode - How to make work, capacity and transformation constraints visible - What it really takes to move from experimentation to enterprise-wide impact 🔗 Save your seat: https://lnkd.in/e7ZvFitb