LifeLabs Learning launches manager training for AI adoption
The company says its new facilitator-led course is aimed at helping managers turn AI strategy into daily workplace practice, but key commercial details remain unclear.
LifeLabs Learning has announced an AI Transformation Program for managers, according to a PRNewswire release carrying a New York dateline of 23 September 2026 and a 28 September distribution timestamp.
The company said the live, facilitator-led leadership development program was introduced during its first annual LeaderLab Conference. It is described as a training course designed to help managers connect organisational AI strategy with daily team decisions, workflows and expectations.
According to LifeLabs Learning, the program is grounded in research from more than 200 academic and workplace studies and focuses on what it calls Tipping Point Skills. The company said these include judgement, delegation, accountability and change-leadership skills for managers working with AI-enabled teams.
The release claims that access to AI tools and technical training does not always lead to meaningful adoption. It also claims strong manager support makes employees twice as likely to use AI frequently and nine times as likely to say AI improves their work quality, while only 28 per cent of employees receive that level of support. Those figures were not independently verified in the supplied material.
LifeLabs Learning said the program responds to issues it has heard from hundreds of organisations, including uneven adoption across teams, polished AI output hiding errors, added downstream review work and individual time savings not necessarily improving team performance.
Nathan Blain, identified in the release as CEO of LifeLabs Learning, said managers translate AI strategy into real decisions, expectations, workflows and behaviours.
The announcement did not specify pricing, program length, delivery regions, customer names or measurable outcomes from existing deployments. It also did not detail how the cited research was selected or whether the new course has been independently evaluated.
BIT editors check claims against the linked sources before publication.
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