Learning Pool has announced the acquisition of Confirm, an AI-first people development platform. This acquisition extends Learning Pool’s focus beyond training delivery to real-world performance measurement. Building on the recent integrations of WorkStep, WorkRamp, a Learning Pool company and Elucidat, Learning Pool aims to unify learning, engagement, and performance within an intelligent Talent Flywheel, an engine that turns workforce potential into measurable business results. Benoit de la Tour, Chief Executive Officer of Learning Pool, said, "By integrating Confirm into our ecosystem, we’re giving organisations the insight to identify top contributors, close skills gaps, and make data-driven decisions that directly drive productivity and business results. Confirm transforms talent insights into actionable intelligence, helping our customers turn workforce potential into measurable growth." David Murray, Chief Executive Officer of Confirm, said, "Too many talent decisions are still based on perception, not evidence. Our platform gives leaders clear insight into who is driving real business impact. This includes the quiet contributors who rarely get the recognition they deserve, and the high-potential people whose development gaps aren't visible until it's too late. Combined with Learning Pool’s ecosystem, organisations can surface those signals early, fast-track their development, and ensure that workforce growth directly fuels organisational success.” Confirm will operate as a specialised performance intelligence division within Learning Pool, accelerating its AI-driven roadmap while leveraging Learning Pool’s resources. This expanded suite equips organisations to reduce ramp time, bridge skills gaps, and transform workforce development into a strategic business driver. The aibl take: Most talent decisions are still made on perception rather than evidence of actual impact. Quiet contributors who drive real business outcomes get overlooked. Development investment goes to people who are visible rather than people where it will have the greatest return. For mid-market people leaders, the cost of that misalignment is measurable. High-potential employees whose gaps are not visible leave before they are developed. Workforce investment gets distributed on the basis of who is in the room. The organisations that replace perception with data will make materially better talent decisions than those still relying on annual reviews and manager instinct to guide them. Daire McCaughley, Ian Cole, Adam Clarke, Dan Johnston, Adam Wilkes, Jan-Olivier Fillols, James Mullaney, Adam Thompson, Jonathan Christodoulides, Maelle Bombezin, Louise Kerlin, Jon Brydges, Parin Sachedina, Nina Hancock, Alexander Shen, Riccardo Munisso, Maricel Mazzaro, Samuel Vrech, Guillermo Laoretani, Ronnie Aron 📰 We break down shifts like this in the aibl newsletter. Practical signals for mid-market leaders navigating AI adoption. Link in comments.
As an educator, this focus on moving past perception to actual evidence of performance really resonates with me. In teaching, we are entirely data driven. But the magic happens when you use that data to proactively enhance the instruction itself, rather than just using it to diagnose results after the fact. Building a Talent Flywheel that captures those signals early and supports every contributor is a brilliant move. Congratulations to the entire Learning Pool and Confirm teams on this exciting milestone!
Get the latest AI insights for mid-market leaders here: https://aiblmedia.com/free-ai-newsletter-aibl-brief/