[Free Webinar on May 18 (Mon)] How to Reduce Core System Modernization Costs with Generative AI ─ A Practical Solution Achieving '18 Months → 6 Months'

AICE Inc. (Headquarters: Shinjuku-ku, Tokyo; Representative Director & CEO: Takumi Sato; hereinafter 'AICE') will hold a free online webinar titled '18 Months → 6 Months: How Generative AI Changed Core System Replacement for Financial Institutions' on Monday, May 18, 2026, from 12:00 to 12:30 JST.

Modernizing core systems for large enterprises, including financial institutions, is a management challenge that tends to be prolonged due to individualized specifications, migration risks, and regulatory compliance.

This webinar will feature a real project where a financial institution's core system replacement, initially estimated by vendors to take '18 months,' was brought to 'stable operation in 6 months' through the utilization of generative AI. Representative Director & CEO Takumi Sato and Representative Director & COO Masao Takahashi will discuss, in a dialogue format, how to rebuild systems by 'integrating AI at the core.'

## Background

Core system modernization is an unavoidable management challenge for many companies. Over 60% of core systems in Japan have been operating for more than 21 years, and the Ministry of Economy, Trade and Industry (METI) warns of an economic loss risk of up to 12 trillion yen annually.

While the use of generative AI is expanding, 'add-on AI' such as chatbots and summarization tools are insufficient for structural reforms of core business operations. AI only functions effectively within core operations when data structures, business flows, and authorization are fundamentally reviewed.

AICE has supported large enterprises, including financial institutions, with an approach that 'integrates AI at the core' to rebuild core systems. In this webinar, we will frankly share the process and decision-making criteria from a financial institution's case where a vendor's '18-month' estimate was achieved in '6 months of operation.'

## Four Insights to Gain from This Webinar

- Why 'lift-and-shift' is not enough
- The 12 trillion yen annual economic loss risk and structural challenges faced by 60% of core systems
- The limits of 'add-on AI' versus integrating AI into business processes
- Clarifying areas not reached by add-on AI
- The 3 steps that enabled a financial institution's core replacement to go live in 6 months
- The reality of Reverse / Cleanup / Forward
- Conditions for easy application / Conditions requiring careful assessment
- Decision-making criteria for internal consideration

## Apply Here

(Free participation / Capacity: 1,000 people)

## Program (12:00-12:30)

Industry Challenge: Structural reform beyond 'lift-and-shift' and 'add-on AI'

Financial Institution Case Study: 3 steps that achieved 18 months → 6 months

Four mechanisms supporting 6-month operation

Decision-making criteria for internal consideration (application conditions)

AICE's Strengths (FDE system / Over 100 implementation achievements in core industries)

Q&A

## Recommended for

- Heads of information systems and DX departments seriously considering core system modernization
- IT managers of companies with legacy assets built with COBOL/Java, etc.
- Those in charge of core modernization in regulated industries (finance, public, pharmaceutical, etc.)
- Designers and architects who feel uncomfortable with 'as-is' replacement approaches
- Executives who want to know how generative AI can be utilized for actual system modernization, not just PoCs

## Speakers

Takumi Sato / Representative Director & CEO

After graduating from the University of Tokyo, joined Citigroup Global Markets Japan Inc. in the Investment Banking Division. After working on the sale of domestic and international temporary staffing companies and LLM new business/data infrastructure construction projects at Matsuo Institute, founded AICE.

Masao Takahashi / Representative Director & COO

Graduated from the Graduate School of Information Science and Technology, the University of Tokyo. After serving as an AI Tech Lead for machine learning projects utilizing image processing and natural language processing in the financial, pharmaceutical, and automotive industries at a US IT company, co-founded AICE and serves as Representative Director & COO.

## Event Overview

Title: 18 Months → 6 Months: How Generative AI Changed Core System Replacement for Financial Institutions

Date & Time: Monday, May 18, 2026, 12:00 PM - 12:30 PM JST

Format: Online streaming (Zoom)

Participation Fee: Free

Capacity: 1,000 people

Target Audience: Heads of information systems/DX departments / IT managers of companies with legacy assets / Those in charge of core modernization in regulated industries including financial institutions / Executives considering core system modernization

Benefits of Participation: You can take away the 3 steps and application conditions that enabled '18 months → 6 months' from a real project process, not just a PoC.

## How to Apply

Please apply via the Peatix page below.

After applying, the streaming URL will be sent via Peatix message.

Apply Here

*Company names in case studies are kept confidential under NDA. The focus will be on sharing processes and numerical data.

*Reproduction of recordings, videos, or screenshots is prohibited.

*Content may be partially changed without prior notice.

## Company Profile

Company Name: AICE Inc.

Location: Shinjuku Sumitomo Building 18F, 2-6-1 Nishi-Shinjuku, Shinjuku-ku, Tokyo

Representative Director & CEO: Takumi Sato

Business Description: AI Agent Business