Why AI Training Fails to Change the Workplace: Introducing 'AI Boost,' a Mentored AI Talent Development Program Achieving 100% Completion and 3.8/4.0 Satisfaction
Consay Inc. has successfully completed its six-month 'AI Boost' program, an AI talent development program utilizing no-code/low-code AI tools for business improvement. All 21 participants achieved the construction of AI automation tools immediately applicable in their work, earning a high satisfaction rating of 3.8 out of 4.0.
📋 Article Processing Timeline
- 📰 Published: April 30, 2026 at 16:30
- 🔍 Collected: April 30, 2026 at 08:01
- 🤖 AI Analyzed: April 30, 2026 at 08:04 (3 min after Collected)
Consay Inc. (Headquarters: Shinjuku-ku, Tokyo; Representative Director: Yuki Osawa; hereinafter 'the Company') has successfully completed a six-month program for 4 companies and 21 participants, including Narel Group Inc. (Headquarters: Chiyoda-ku, Tokyo; Representative Director: Naoki Shibata), as part of its 'AI Boost' business improvement talent development program utilizing no-code/low-code AI tools. All 21 participants successfully built AI automation tools that can be immediately used in their work, receiving a high satisfaction rating of 3.8 out of 4.0.
* 'AI Boost' is a bootcamp-style mentored support program provided by Consay Inc. that trains individuals to independently drive on-site business improvements using no-code/low-code AI tools.
■ Background: The persistent complaint, 'AI training didn't change anything on-site.'
Recently, there has been a surge in demand for corporate training aimed at promoting AI utilization.
Many of these are e-learning based, characterized by easy-to-understand video content that can be studied during spare time. However, we frequently hear feedback such as 'I just watched the videos and that was it,' or 'I gained knowledge, but nothing changed in terms of actual on-site business improvement.'
Our CEO, Osawa, also has past experience with AI training. After finishing videos, excited by the potential of cutting-edge tools, he encountered real-world obstacles when trying to apply them in practice: 'The video environment is different from mine,' 'I kept getting errors and couldn't complete anything after hours of trying,' and 'Ultimately, I didn't know who to ask for help.'
YouTube and social media are overflowing with AI utilization content, offering countless ways to input knowledge. However, for most people, securing time amidst busy daytime work, struggling with errors to build something alone, and refining it to a usable level is an extremely high hurdle.
'How different would it be if there was an AI construction professional nearby whom I could easily consult?'
That experience became the catalyst for creating AI Boost.
■ What AI Boost values: A three-layer structure to 'never give up.'
AI Boost is a six-month bootcamp-style development program designed to train on-site employees to become 'AI Boosters'—individuals who can independently utilize no-code/low-code AI tools to drive business improvements.
The fundamental difference between this program and other AI training lies in its design philosophy of 'dual mentorship' covering both 'technology' and 'mentality.'
① Bi-weekly Group Training Sessions
These are exercise-based training sessions focused on hands-on 'completion' rather than lectures. Participants build practical workflows using tools like GAS, Dify, and Claude Code.
② Individual 1-on-1 Construction Support by an AI Construction Professional (Buddy) (Once a month)
'I want to do this, but how?' 'I'm stuck here and can't move forward.'—An AI construction professional (our 'Buddy') solves such inevitable challenges on the spot, working alongside participants. Instead of just teaching, they think and build together.
③ Progress 1-on-1 Coaching (Once a month)
As important as skill acquisition is the approach to the participants' 'inner self.' Monthly coaching sessions are conducted to carefully organize 'why I am tackling this' and 'where I am currently stuck.' This provides an environment and presence to return to when errors are discouraging or when busy schedules halt progress.
This three-layer structure, unlike other AI training, creates an 'environment where no one is left behind, everyone completes an automation tool to solve their department's challenges,' and 'an environment that prevents giving up.'
Bi-weekly group training sessions, 1-on-1 sessions with an AI construction professional, and the culmination of six months: the 'Final Pitch Competition' where results are presented.
■ Results: All 21 participants completed the program, and all completed tools 'usable from tomorrow in their own departments.'
The results of this program, conducted from November 2025 to April 2026, are as follows:
Metric | Result
---|---
Completion/Tool Construction Rate | 100% (All 21 participants)
Overall AI Boost Satisfaction | 3.8 / 4.0 points
Perceived Skill Improvement | 3.9 / 4.0 points
Continued/Contribution Intent | 3.8 / 4.0 points
The tools built by participants cover a wide range, including automation of accounting and finance operations, interview evaluation tools, on-site movement assistance tools, and inventory confirmation automation through image analysis.
All of these are deliverables that are used in practice from the next day, not just 'presented and forgotten.'
Furthermore, one-third of all participants built multiple tools, not just one.
* 'AI Boost' is a bootcamp-style mentored support program provided by Consay Inc. that trains individuals to independently drive on-site business improvements using no-code/low-code AI tools.
■ Background: The persistent complaint, 'AI training didn't change anything on-site.'
Recently, there has been a surge in demand for corporate training aimed at promoting AI utilization.
Many of these are e-learning based, characterized by easy-to-understand video content that can be studied during spare time. However, we frequently hear feedback such as 'I just watched the videos and that was it,' or 'I gained knowledge, but nothing changed in terms of actual on-site business improvement.'
Our CEO, Osawa, also has past experience with AI training. After finishing videos, excited by the potential of cutting-edge tools, he encountered real-world obstacles when trying to apply them in practice: 'The video environment is different from mine,' 'I kept getting errors and couldn't complete anything after hours of trying,' and 'Ultimately, I didn't know who to ask for help.'
YouTube and social media are overflowing with AI utilization content, offering countless ways to input knowledge. However, for most people, securing time amidst busy daytime work, struggling with errors to build something alone, and refining it to a usable level is an extremely high hurdle.
'How different would it be if there was an AI construction professional nearby whom I could easily consult?'
That experience became the catalyst for creating AI Boost.
■ What AI Boost values: A three-layer structure to 'never give up.'
AI Boost is a six-month bootcamp-style development program designed to train on-site employees to become 'AI Boosters'—individuals who can independently utilize no-code/low-code AI tools to drive business improvements.
The fundamental difference between this program and other AI training lies in its design philosophy of 'dual mentorship' covering both 'technology' and 'mentality.'
① Bi-weekly Group Training Sessions
These are exercise-based training sessions focused on hands-on 'completion' rather than lectures. Participants build practical workflows using tools like GAS, Dify, and Claude Code.
② Individual 1-on-1 Construction Support by an AI Construction Professional (Buddy) (Once a month)
'I want to do this, but how?' 'I'm stuck here and can't move forward.'—An AI construction professional (our 'Buddy') solves such inevitable challenges on the spot, working alongside participants. Instead of just teaching, they think and build together.
③ Progress 1-on-1 Coaching (Once a month)
As important as skill acquisition is the approach to the participants' 'inner self.' Monthly coaching sessions are conducted to carefully organize 'why I am tackling this' and 'where I am currently stuck.' This provides an environment and presence to return to when errors are discouraging or when busy schedules halt progress.
This three-layer structure, unlike other AI training, creates an 'environment where no one is left behind, everyone completes an automation tool to solve their department's challenges,' and 'an environment that prevents giving up.'
Bi-weekly group training sessions, 1-on-1 sessions with an AI construction professional, and the culmination of six months: the 'Final Pitch Competition' where results are presented.
■ Results: All 21 participants completed the program, and all completed tools 'usable from tomorrow in their own departments.'
The results of this program, conducted from November 2025 to April 2026, are as follows:
Metric | Result
---|---
Completion/Tool Construction Rate | 100% (All 21 participants)
Overall AI Boost Satisfaction | 3.8 / 4.0 points
Perceived Skill Improvement | 3.9 / 4.0 points
Continued/Contribution Intent | 3.8 / 4.0 points
The tools built by participants cover a wide range, including automation of accounting and finance operations, interview evaluation tools, on-site movement assistance tools, and inventory confirmation automation through image analysis.
All of these are deliverables that are used in practice from the next day, not just 'presented and forgotten.'
Furthermore, one-third of all participants built multiple tools, not just one.