Transforming Workplace Dynamics through AI Training: The AI Boost Experience

In today's rapidly evolving business environment, companies are increasingly recognizing the potential of AI to enhance operational efficiency. However, a persistent concern remains: why do training initiatives fail to yield tangible results in the workplace? Enter AI Boost, a revolutionary training program developed by Consay, aimed at bridging the gap between theoretical knowledge and practical application in AI tools.

In a recent six-month program, AI Boost successfully guided 21 participants from four companies, including the Narel Group, to build automation tools they could immediately utilize in their respective departments, achieving a remarkable completion rate of 100% and an impressive satisfaction score of 3.8 out of 4.0. This article will explore how AI Boost achieves such high results and whether it can serve as a model for AI training programs worldwide.

The Challenge: Why Many AI Trainings Fail

One of the most common complaints about AI training is that participants receive vast amounts of information but struggle to implement what they’ve learned into their day-to-day tasks. Most AI training programs are e-learning-based, featuring engaging video content that can be consumed in short segments. While convenient, this often leads to a consequence where participants feel enlightened yet unable to apply their new knowledge in real-world scenarios. As highlighted by Consay CEO Yuki Osawa, many employees have experienced discrepancies when trying to mesh the new tools and methods learned during training with their unique work environments.

“After watching the training videos, I felt excited about the potential AI tools could offer. However, when attempting to implement what I had learned, I confronted several obstacles: mismatched environments, persistent technical errors, and a lack of guidance,” Osawa said, reflecting on his own experiences with AI training. This gap between knowledge and practical application serves as a catalyst for the design of AI Boost.

AI Boost: A Unique Approach to Learning

What sets AI Boost apart from traditional training programs is its commitment to creating a supportive and immersive learning environment. Over six months, participants engage in a boot camp-style training model with a focus on hands-on learning, expert guidance, and personal coaching that follows a three-layer structure:

1. Hands-On Learning: Unlike conventional training, which often relies on passive learning through lectures, AI Boost emphasizes active participation. Participants meet twice monthly for workshops where they can physically build AI tools using GAS, Dify, Claude Code, and other no-code/low-code solutions, ensuring they gain practical experience.

2. One-on-One Support: Each participant is paired with an AI Buddy, an expert in AI tool construction, for monthly one-on-one sessions. These sessions address specific challenges participants face, allowing them to collaboratively solve problems and refine their AI tools in real-time.

3. Coaching for Mental Resilience: Beyond technical know-how, AI Boost places significant importance on mental fortitude. Monthly coaching sessions delve into participants' motivations, helping them navigate roadblocks while fostering a supportive community to encourage perseverance.

This triadic framework ensures that no participant is left behind, fostering an environment where everyone can succeed in developing automation tools relevant to their departments’ needs.

Promising Results: From Training to Tangible Impact

The effectiveness of AI Boost is evident in the results it achieved over its program duration from November 2025 to April 2026. With a 100% completion rate and all participants successfully developing tools for immediate use, the feedback from participants reflects their satisfaction and the transformation in their approach towards daily tasks:

- “Before, I resigned myself to tedious tasks, thinking they were just part of the job. Now I’m proactive in automating processes to reclaim my time for more critical work.” – Participant A
- “This program changed my perspective and opened up a range of new approaches I hadn’t considered before. The difference between knowing AI and actually using it is immense.” – Participant B
- “I realized how much my environment and connections can impact my thinking. The skills and mindset I’ve developed here are invaluable.” – Participant C

In Conclusion: The Future of AI Training

Reflecting on the successes of AI Boost, Yuki Osawa believes that the key to effective AI training lies not in the knowledge imparted but in the support systems established around learners. “Understanding the day-to-day processes of a company and having individuals ready to collaborate is essential for transforming workplaces through AI,” he asserts. As AI Boost continues to pave the way for a more integrated approach to AI training, it may well not only redefine how AI is utilized But also how training sessions are structured in various industries.

Interested business leaders should certainly consider the lessons learned from the AI Boost experience, which has proven to not just teach but transform the workplace into one that embraces the power of automation and AI.