The one-year real-world record of a company that declared an “AI all-in” strategy.
This case study introduces how DeNA, one of Japan’s leading IT companies, transformed an organization of 3,000 people into an AI-native company.
For organizations preparing for an AI transformation, we’ve gathered only the most useful insights.
Roadmap and Execution Strategy for AI-Native Transformation in Large Organizations
DeNA’s Specific AI Adoption Cases and Organizational Change Management Methodology
Insights on AI Innovation Adoption and Practical Action Plans by Company Size
DeNA × AI DAY 2026
AI ALL IN declaration, proven one year later.
2025.02Chairperson Tomoko Namba "DeNA is all in on AI"
12 monthsQA · HR · Games · Baseball Team Every business division challenged and implemented it
2026.03A place to reveal the results Proof.
The reason the event is called Proof is simple. It is an opportunity to prove the declaration made one year ago.
In February 2025, DeNA President Tomoko Namba declared at an internal conference, "DeNA is going all in on AI." She then called it the second founding of the company established in 1999.
A year later, in March 2026, DeNA held an event to reveal the results.
Most of the presentations were not about implementation plans, but records of systems already operating in the field.
SPEAKERS
Stories told firsthand by people who experienced it
From the head of quality management who overhauled the QA organization, to the HR manager who changed the evaluation system, to a first-team pitcher, and even the baseball team’s data specialist who operates AI. Twenty people who took on those roles will take the stage and share their stories firsthand.
Tomoko Namba
Shunichi Kaneko
Ryo Sasaki
Keisuke Koike
藤﨑隆
Yuto Otake
Katsunori Onishi
Yoshihiro Nishiwaki
Hironori Kato
Tatsuya Koyama
Masaki Sawamura
Shimon Morioka
Keiji Ishii
Yusuke Kikuchi
Yoshiki Inuzuka
Masakazu Sumiyoshi
Asako Nishiyama
Yuto Tachibana
Wataru Kawasaki
Ryuji Harimoto
The speakers’ photos and department names are based on the official DeNA × AI Day 2026 website.
ARCHIVE
We’ll show you all 34 case study presentations without missing a single one.
34presentations
16 main sessions + 16 lightning talks
Including the opening and closing remarks
9hours
Total running time
Longest session: 43 minutes
4items
Business areas
Gaming · Baseball Team · Healthcare · Live
1POINT
Not a plan, but results
An ordinary AI conference"What can we do with AI?"
DeNA × AI DAY 2026"Looking back on the past year, what remains?"
01
We overhauled the entire QA organization.
Challenge doubling productivity with a new QA model
02
AI assists with performance review season tasks.
HR Manager · From Goal Setting to Reviews
03
When you arrive at work, the agent is already working.
AI Workspace · Internal Work Automation
04
Even the first-team pitchers train with AI.
Yokohama DeNA BayStars
2
2POINT
A six-month task in just one month
1 month
Shortened by 5 months
Company-wide adoption of Devin and migration of legacy systems, the initially estimated timeline was 6 months
These are the records of Devin, the coding agent adopted company-wide in July 2025. I explain firsthand everything from the criteria for deciding to adopt it to the process of expanding its scope of application.
3
3POINT
From gaming, baseball, healthcare, and live events, bringing that extensive experience 그대로
If the business domains are different, the way AI is integrated should also be different. Representatives from each field shared their own cases.
GAME
Mobile game
They embedded an LLM into the Unity editor, connecting everything from log analysis to E2E testing. The strongest AI for the poker game EDGE POKER is also this team’s work.
BASEBALL
Yokohama DeNA BayStars
We use AI to develop first-team pitchers and streamline everything from stadium demand forecasting to price setting.
LIVE
Live streaming
We refine the broadcasting experience on Pococha and build IRIAM's character experience based on ML. This is a case study shared in detail by the PdM.
CORPORATE
Company-wide organization
We rolled Devin out company-wide, redesigned the QA model, and overhauled even our evaluation and hiring systems.
ONLY ON INFLEARN
You don't have to worry about Japanese.
Three features provided by Inflearn
On-screen translation
We even translate the Japanese written on the slides into Korean.
Subtitles and dubbing
Korean subtitles and dubbing have been added to all sessions. AI-generated dubbing
voices are labeled "(AI-generated)."
Learning Agent
This beta feature understands and answers questions about the video you are watching. If an unfamiliar term or an internal service name comes up, ask about it right away without pausing the video.
CURRICULUM
Presentation List
16 sessions, 16 lightning talks, and an opening and closing
CHAPTER013 episodes · 99 minutes
Management and Organization
AI Executives × Leaders AI
AI Transformation of Organizational Knowledge, According to Executives
42 minutes
AI × Organizations
The Team That Wins with a Small Number of People, as Seen by Seed VCs
36 minutes
AI × Work Transformation
An agent handling internal tasks, AI Workspace
21 minutes
CHAPTER023 episodes · 123 minutes
Engineering and Quality
AI × Engineering
Changes Brought by Devin and Solution Deployment
41 minutes
AI × Quality Management
Redesign the QA model and aim to double productivity
43 min
AI × Games
A game development environment where using LLMs is a given
39 min
CHAPTER03Part 2 · 39 min
Recruitment and Evaluation
AI × HR
The Goal and Performance Evaluation Cycle with AI
20 minutes
AI × HR
Recruitment and development supporting an all-in commitment to AI
19 minutes
CHAPTER044 episodes · 83 minutes
Products and Games
AI × Development
Development Story of the Immersive Experience Facility 'Wonderia Yokohama' App
19 min
AI × Development
Product development designed with AI as a premise
34 minutes
AI × Games
EDGE POKER, Challenge the Strongest AI
15 minutes
AI × Planning
An AI Persona Created by a Planner Alone
15 min
CHAPTER054 episodes · 73 minutes
Sports and Live Streaming
AI × Baseball
The Front Line of Strengthening the BayStars Team
20 minutes
AI × Demand Forecasting
The Purchasing Experience Created by Stadium Demand Forecasting
16 minutes
AI × Live
AI That Elevated Pococha’s UX
19 minutes
AI × Live
IRIAM Character Experience: Behind the Scenes of ML
18 minutes
In addition
Opening 10 minutes, closing 31 minutes, and 16 Yellow Stage lightning talks ABABA, mairu tech, B Informatica, 10pct., Hubbit, Sotas, VALANCE, ROUTE06, Joshu, Ocean, Privacy Tech, zooba, immedio, Props, Smart Repair, and ALGO ARTIS participated.
We explain all the trial and error involved in adopting AI in 34 presentations.
NOTICE
This is a recording of the in-person event held at Hikarie Hall in Shibuya, Tokyo, on March 6, 2026.
The dubbed audio was generated by AI and is indicated as (AI-generated) in the voice selection menu.
The presentation content and figures are as of March 2026.
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