April 21 Free Seminar: Revealing the "Behind the Scenes" of AI-Era System Development that Solves the Challenge of Frontline Manual Excel Tasks Left Behind Despite Promoting AI and DX—at "Low Cost and Short Duration"

Haru Inc. (Headquarters: Minato-ku, Tokyo, CEO: Takumi Ogata) will hold an online seminar on Tuesday, April 21, 2026, from 19:00 to 20:00, co-hosted by Generative Force Inc. and sponsored by Bright Data.

Background of the Seminar: Why do manual tasks remain even after promoting DX?

Despite introducing AI, SaaS, and DX tools for operational improvement, manual tasks such as Excel transcription, manual data entry, and copy-and-pasting still persist on the front lines. There is a common structural cause for this issue faced by many companies.

While general-purpose SaaS is widely applicable, it cannot completely cover the different business flows and unique rules of each company. The "one step left" portion remains as manual work, and as it accumulates, it becomes difficult to feel the effects of DX investment on the front lines.

On the other hand, developing a custom system from scratch typically costs millions to tens of millions of yen and takes over half a year, which is not an easy choice for small and medium-sized enterprises.

In this seminar, we will introduce a practical approach using Generative AI x Low-code development to bridge this gap: "SaaS cannot reach it, but full-scratch development is too heavy," accompanied by demonstrations.

Seminar Details Date and Time: Tuesday, April 21, 2026, 19:00-20:00 Format: Online (Webinar format) Participation Fee: Free How to Apply: Please apply on the Peatix page from the "Apply for free seminar" button Organizers: Haru Inc., Generative Force Inc. Sponsor: Bright Data

What you will gain from the seminar - Concrete measures to achieve DX at low cost and in a short period using Generative AI x Low-code for the "one step left" manual tasks that SaaS cannot reach. - Practical examples of utilizing web data to improve the accuracy of AI systems (utilizing Bright Data). - Furthermore, all participants...