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ジリツAI|AIエージェントを3ヶ月で組織実装

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What is ジリツAI|AIエージェントを3ヶ月で組織実装?

ジリツAI is a service by FinT, Inc. that installs a marketing-oriented AI agent OS into a client's GitHub environment. It pairs clients with a dedicated Forward Deployed Marketer (FDM) who customizes the OS to the client's brand and workflows. The goal is to help companies become autonomous, AI-driven organizations by embedding the OS and retaining data under the client's name.

How do I get started or book this service?

To get started, clients must request service materials via a form on the website. After submission, they receive a document detailing the introduction content, pricing, and case studies. The process begins with a business diagnosis to confirm the current system and prioritize AI implementation areas.

Where is the service located and what markets does it serve?

The service is offered by FinT, Inc. and is located in Japan, as indicated by the Japanese language of the website and the company name. The service is specifically designed for the Japanese market.

What is the official website of ジリツAI|AIエージェントを3ヶ月で組織実装?

The official website of ジリツAI|AIエージェントを3ヶ月で組織実装 is jiritsu-ai.com.

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ジリツAI|AIエージェントを3ヶ月で組織実装 has no reviews on Trustburn yet. Anyone who has used it can write the first review on its Trustburn page.

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About ジリツAI|AIエージェントを3ヶ月で組織実装

ジリツAI is a service offered by FinT, Inc. that provides a marketing-oriented AI agent OS for installation into a client's own GitHub environment. The service pairs the client with a dedicated Forward Deployed Marketer (FDM), a specialist combining marketing expertise with AI operations experience, who customizes the OS to the client's brand and workflows. The stated goal is to help companies become autonomous, AI-driven organizations by embedding the OS, transferring know-how, and retaining data and accounts under the client's name. Implementation is structured in phases, beginning with installing the pre-tested OS from an advertising-agency operational environment into the client's own GitHub and Claude setup. Ongoing knowledge and feature updates are provided after the initial build, with the aim of supporting long-term internal operation rather than one-time tool delivery.