Accelerate Early Workforce Readiness with AI Role-Play: A Holistic Learning Design that Makes New Hires Self-Driven - Free Webinar to Solve 'Failure to Develop' with Science

UUM Technology Japan Co., Ltd. (Headquarters: Shinjuku-ku, Tokyo; Representative Director: Shuhei Matsuda), which offers the AI-powered learning platform 'UMU,' will hold an online seminar titled 'New Hires Become Self-Driven with AI Role-Play: A Holistic Learning Design - Solving 'Cannot Do' and 'Fail to Develop' with Science' on Friday, June 12, 2026, and Friday, June 26, 2026, at 12:00 PM.

Registration here

Seminar Overview

'We introduced an AI tool, but the quality of new hires' behavior and skills hasn't changed' – if you have such a concern, the cause is not the tool's performance, but a 'technology-first' implementation lacking the perspective of 'learning science.'

Just as you wouldn't send a player onto a soccer field without teaching the rules, simply letting inexperienced new hires freely converse with AI will not solve on-site challenges.

To avoid using important customers or real workplaces as 'practice dummies,' what is truly needed is [learning design].

This seminar goes beyond merely introducing AI tools; it explains the theory of 'performance learning' that rapidly cycles input, output, and feedback. We will reveal a holistic learning pathway that enables even new hires with insufficient foundational knowledge to acquire a 'self-sufficient operational model' through the shortest route.

Furthermore, we will thoroughly explain, with live demonstrations, how to balance 'improved skill acquisition rates' and 'reduced instructor workload' by using AI-driven objective evaluations that eliminate instructor subjectivity and creating an environment where new hires can 'fail 100 times' 24/7/365 – the winning pattern for new employee development in 2026.

Registration here

Three Benefits from This Seminar

Learning Design that Elevates Trainee Skills to a 'Reflex Level' and Eliminates Confusion

Break away from 'watch and forget' training; immediately transition to a 'can-do' state with AI role-play right after input. Learn how to create pathways that encourage spontaneous learning tailored to any training format.

Eliminate 'Intuition' and Scientifically Measure Effectiveness with AI

Build an objective feedback system that does not rely on instructor subjectivity. Explain quantitative assessment methods, such as correlation analysis between practice volume and performance, that can be used in human capital management decision-making.

Achieve 'Reduction' of Instructor Workload and 'Maximization' of Practice Volume

Dramatically reduce the burden on field managers while providing a practical environment where new hires can 'fail 100 times' anytime, day or night. Take away a strategy that accelerates everything from foundational skill-building to early workforce readiness.

Who Should Attend

Education managers who want to move beyond 'one-way training' and drive behavioral change in trainees.

Sales managers struggling with insufficient on-site training resources and seeking efficient development systems.

DX promotion managers who want to not just 'introduce' AI but translate it into concrete 'learning designs.'

HR managers who want to visualize training effectiveness through assessments and data.

Event Details

Date & Time:

・Friday, June 12, 2026, 12:00 PM - 1:00 PM (recorded distribution)

・Friday, June 26, 2026, 12:00 PM - 1:00 PM (recorded distribution)

Location: Online (Zoom Webinar)

*Those who register will receive a participation link.

Price: Free

Bonus: Free trial demo environment of AI role-play functionality

*Available to those who indicate interest in the survey.

Registration: Register from the following site:

https://www.umu.co/event/202606_ai-roleplay-sales-training-design-2/

Speaker Introduction

Taisei Kada, AI Business Manager, UUM Technology Japan Co., Ltd.

With extensive experience in corporate sales and DX support, he achieved the top annual sales volume and won MVP awards at his previous company. Currently, he is involved in designing and implementing AI role-play-centric sales and talent development solutions, promoting practical AI operations that directly contribute to on-site results.

About UMU

UMU was founded in Silicon Valley in 2014 and is now a global AI solutions company adopted by over 1 million companies in 203 countries and regions worldwide, including over 28,000 in Japan. With the AI-powered online learning platform 'UMU' at its core, UMU offers the evidence-based practical AI literacy program 'AILIT' and the sales enablement solution 'UMU AI Role-Play,' supporting the cultivation of learning cultures and performance improvement in organizations in the AI era. By enabling employees to learn autonomously, acquire and utilize AI literacy, streamline operations, and create time and opportunities to focus on more creative and strategic work, UMU contributes to maximizing human capital and accelerating corporate growth. Service site: https://www.umu.co

Company Overview

Company Name: UUM Technology Japan Co., Ltd.

Head Office: 〒160-0022, 4-1-6 Shinjuku, JR Shinjuku Miraina Tower 18F, Shinjuku-ku, Tokyo

Representative: Shuhei Matsuda, President and Representative Director

Established: February 9, 2018

Business: Sales of educational learning platforms using internet technology

URL: https://www.umu.co