HR Govt and the HR Tech convention have named Degreed Maestro as one of many 12 months’s High HR Merchandise. Chosen alongside 11 different options, Degreed Maestro was awarded for its progressive method on the intersection of human assets and expertise.
What it’s
Degreed Maestro is AI purpose-built for studying, designed particularly to enhance how individuals be taught, develop and apply information within the office. Maestro is a robust device that allows companies to create and deploy customized AI-native studying experiences resembling role-plays, customized coaches and customized pathway curation—simply designed to suit their wants. Maestro is already getting used to democratize management teaching, scale simulations for gross sales enablement and personalize talent growth and analysis. Totally built-in into the Degreed platform, every AI interplay is tailor-made to the person worker’s objectives, abilities and preferences.
Why we favored it
Degreed Maestro is an AI‑pushed studying answer designed to energy customized talent growth for workers at scale. Maestro makes use of AI interactions (delivered by means of each voice and text-based chat) to current particular person staff with efficient studying experiences and guides staff with a give attention to objectives, abilities and preferences. Moreover, the software program automates content material curation and pathway constructing primarily based on individualized abilities gaps, position wants and profession objectives. Worker learners get customized and guided teaching, actual‑world apply simulations and position‑play situations all powered by AI that’s educated on the group’s content material and model voice. We have been impressed by Maestro’s use of AI to quickly incorporate a company’s proprietary data to create customized growth and training experiences for learners, permitting organizations to drive change and equip staff rapidly and successfully.
See additionally: Saying the 2025 High HR Merchandise of the 12 months
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Who else received? Look again at winners from years previous.
