What exactly does the integration automate?

It connects answers that reference internal documents to decisions and processing within business workflows, so steps like application registration, data entry into downstream systems, and notifying relevant people can be handled as part of the flow.

Do companies need to build their own RAG system?

No. The companies say the link is intended to enable business automation aligned with internal rules without individually developing a RAG foundation.

What happens when internal rules or manuals are revised?

The body notes that if judgment criteria configured in automation systems must also be updated when rules change, operational workload increases — a challenge the integration aims to address, though it does not detail how updates are handled.

Large Language ModelsAI Business & IndustryITmedia AI＋8h agoOct 21, 2026, 10:01 JST

GMO links GMO AI RAG with JOINT AI Flow to automate workflows

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3 Key Points

What happened
On October 19, 2026, GMO Prime Strategy and GMO AI Connect began connecting "GMO AI RAG" with "JOINT AI Flow by GMO," so answers drawn from internal documents can feed directly into workflow decisions and processing.
Why it matters
Companies using internal rules and manuals as decision criteria can aim to automate steps like application registration and notifications that still require manual work after an AI answer, without building a RAG system individually, though the body does not state a specific cost or deployment figure.

WHO IT HITSEnterprise teams that run internal approval and application workflows on top of rulebooks and manuals — such as HR, general affairs, and back-office operations staff — may be able to connect AI answers to actual filing and notification steps rather than copying them by hand.

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Context & Analysis

The starting point for this integration is a gap the companies describe plainly: even when a generative AI model can read internal rules and manuals and return an answer, the steps that follow — filing an application, registering data, notifying the people involved — often still fall to a person. Getting an answer and finishing the task are two different things.

The two products involved sit on either side of that gap. GMO AI RAG retrieves relevant passages from internal documents so the AI can answer with company-specific information. JOINT AI Flow by GMO is the workflow and AI agent layer where decisions and processing happen. Linking them is meant to let the output of one feed the other, so a response grounded in internal rules can drive the next action rather than stopping at text.

The companies also point to a maintenance burden that comes with rule-based automation: when internal rules or manuals are revised, the judgment criteria configured in the automation system may need updating too, adding operational load. How the integration handles that update work is not spelled out in the announcement, so whether it eases that burden in practice is likely to be a question for prospective users.

FAQ

What exactly does the integration automate?: It connects answers that reference internal documents to decisions and processing within business workflows, so steps like application registration, data entry into downstream systems, and notifying relevant people can be handled as part of the flow.
Do companies need to build their own RAG system?: No. The companies say the link is intended to enable business automation aligned with internal rules without individually developing a RAG foundation.
What happens when internal rules or manuals are revised?: The body notes that if judgment criteria configured in automation systems must also be updated when rules change, operational workload increases — a challenge the integration aims to address, though it does not detail how updates are handled.

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