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The remarkable rise of ChatGPT, an AI-powered chatbot, has raised important questions about the future of work – and the majority of workers believe this technology and others like it are a force for good.
For example, 45% of 574 people polled by recruitment agency, Aspire, think ChatGPT and similar AI technology will help them perform their jobs better.
But now, one firm has developed an AI platform specifically for the HR sector, with the innovation set to enhance recruitment, retention and everyday HR processes.
Beamery, a global leader in Talent Lifecycle Management, has announced the launch of TalentGPT, the world’s first generative AI for HR technology, which delivers personalised experiences for managers, recruiters, candidates and employees.
With TalentGPT, Beamery will transform every talent acquisition and talent management experience with generative AI.
TalentGPT will offer a single assistant that leverages both Beamery’s proprietary AI, as well as OpenAI’s GPT-4 and other leading Large Language Models (LLMs). This unique combination allows TalentGPT to deeply personalise the insights and recommendations provided to the user and generate content that adapts to changing customer information and requirements in real time.
For example, TalentGPT will not only generate new job descriptions, but make them highly relevant to the skills that organisations’ lack, and the capabilities that make high performers successful. It will not just generate email templates to send, but contextualise them to the exact candidate audience employers are trying to reach.
It will not only provide career recommendations to employees – it will also guide them based on the skills they have today, and where they need to develop to find their next promotion.
TalentGPT is a proprietary AI technology developed by Beamery over the past three years. It is built on top of the Beamery Talent Graph – which tracks over 17 billion data points about candidates, companies, skills and jobs.
Turning workforce data into early warnings for high-cost employees
Many employers only learn about high-cost claims after the fact, relying on annual health plan reports that provide little opportunity for prevention. Yet when absenteeism, disability, and workers’ compensation are included, the top 5 percent of cases drive nearly 60 percent of total costs. Looking only at medical and pharmaceutical claims limits an employer’s ability to understand where risk is forming and how costs escalate over time.
By integrating medical, pharmaceutical, disability, absence, compensation, and broader human capital data, employers gain a more complete and predictive view of workforce risk. Workpartners’ Human Capital Risk Index (HUI) leverages this integrated data warehouse to flag emerging high- and moderate-risk cases early, enabling timely, HIPAA-compliant outreach and clinical prevention.
Through a holistic, person-centric care model, individuals receive high-touch support across health, work, and family dimensions—helping shorten or prevent periods of high risk and high cost. The result is earlier intervention, improved outcomes, and measurable reductions in utilization, lost time, and total cost.
What You’ll Learn
Why high-cost claims are often identified too late
How integrated data improves risk prediction
How our HUI flags emerging risk early
Why holistic, person-centric care matters
How early intervention reduces total cost
“We are not just incorporating TalentGPT into all of our products – this new technology is enabling us to radically simplify and redesign all of our user experiences,” said Sultan Saidov, co-founder and President of Beamery.
“It is hard to overstate how much these advances in AI technology are improving the interactions we can provide to our users, and how much time we can save people in achieving complex tasks.”
As the first HR Technology company to undergo an independent audit on its AI models, and the only company to allow candidates to set preferences around the use of AI on their data by organizations, Beamery has consistently led the market on management of compliance and bias when it comes to AI.
Deploying multi-purpose LLMs within these bias-audited AI controls allows Beamery to mitigate the risks typically associated with the use of ChatGPT and other models.
