F. AIチャット導入（FAQ／問い合わせ自動化）
F. AIチャット導入（FAQ／問い合わせ自動化）
FAQ×AIチャット、製品DB連動チャット、見積前ヒアリングAI、多言語AIチャットなど、問い合わせ前後の負荷を下げ、商談化率を上げるAI活用カテゴリです。加えて、社内ナレッジAI（RAG）や技術資料検索ポータル、問い合わせ自動分類、リード評価など、営業・CSの実務を支援します。 誤回答リスクを抑えるガードレール設計、ログ分析、CRM連携要件、運用ポリシー策定まで含め、実運用に耐える形で提供します。
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[Presentation of Materials] AI is no longer looking at websites.
The Misalignment of Sales Structure Leading to the 'Ineffectiveness of Web Strategies' and the Redesign Theory in the AI Era.
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[Information] Introduction to GEO for Becoming a Company Chosen by AI
In the era of generative AI, "corporate evaluation" is determined not by searches but by whether it is "cited."
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[Presentation of Data] Companies Evaluated by ChatGPT and Companies Not Evaluated by ChatGPT
Winning manufacturing industry 'information design models' with AI search! ChatGPT evaluates 'the company itself'.
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101. FAQ × AI Chat Introduction
FAQs are about "eliciting answers" rather than "making people read." We will implement an AI chat that simultaneously addresses inquiries and generates leads, based on existing FAQs.
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102. Introduction of AI chat linked to product database
If you want to make AI chat a "substitute for sales," linking it to a product database is essential. By referencing the database for specifications, compatibility, and selection criteria, we can improve the accuracy of responses.
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103. Introduction of AI for pre-estimation hearings
The reason for the delay in estimates is "back and forth due to lack of information." We will standardize pre-hearings with AI to increase the speed of estimates and the conversion rate of negotiations.
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104. Introduction of multilingual AI chat
We will not stop the initial response to overseas inquiries. With multilingual AI chat, we will convert leads into business negotiations, overcoming time differences and language barriers.
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105. Building In-house Knowledge AI (RAG)
We will AI-enable the "people you know" within the company. We will build an internal knowledge AI (RAG) that can cross-reference documents, emails, and meeting minutes to provide immediate answers.
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106. Construction of a Technical Data Search AI Portal
Having technical documents "available" is not enough to sell. We will make internal and external technical documents readily accessible and usable through AI search.
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107. Inquiry Automatic Classification AI Design
The quickest way to speed up inquiry responses is "routing." AI automatically classifies inquiries, determining the responsible party, priority, and next action immediately.
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108. Lead Evaluation AI (Temperature Estimation) Design
Just by being able to identify 'immediate customers,' sales can change. We estimate lead temperature from behavior, statements, and attributes, and automate prioritization and next actions.
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109. Sales Talk Generation AI Design
Sales wins not through "phrasing" but through "order." We generate talks tailored to the product, industry, and situation using AI, standardizing the quality of proposals.
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110. Proposal Draft Generation AI Design
The proposal is not about "writing" but about "structuring." It automatically generates the main points of the proposal from the hearing content, increasing the speed and success rate of proposals.
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111. Specification Summary AI (Internal) Design
A specification document is meaningless if it is "unreadable." We will summarize long and complex specifications with AI to speed up decision-making and handovers.
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112. Drawing/Image Description AI (Assistive) Design
We do not rely on people who can read blueprints. We organize blueprints and images into a "describable form" to speed up internal responses and customer explanations.
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113. AI-Compatible FAQ Structured Design
FAQs shift from "listing" to "answering." We organize FAQs into a structure that AI can accurately reference, achieving both a reduction in inquiries and a seamless conversion pathway.
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114. AI Response Guardrail Design
The success or failure of AI implementation depends more on "accident prevention" than on "accuracy." We will design the scope of acceptable responses, the manner of communication, and escalation processes to ensure that AI responses are suitable for business operations.
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115. AI Chat Log Analysis Design
AI chat starts the moment it is implemented. By visualizing unanswered questions, misunderstandings, and drop-offs through log analysis, we will improve conversion rates and accuracy on a monthly basis.
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116. Establishing AI Content Creation Rules
Mass production with AI will undermine the brand. We will establish rules for quality, labeling, basis, and prohibitions, and turn AI utilization into a "reproducible production system."
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117. AI Implementation PoC Design (Web)
The outcome of AI is determined "before it is created." We validate the purpose, data, KPIs, and risks through a Proof of Concept (PoC) and design a deployment route that avoids failure.
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118. AI × Inquiry Flow Design
Increase inquiries through "conversations" rather than "forms." We resolve uncertainties with AI and connect to business negotiations with the necessary information in place.
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120. Formulation of AI Utilization Policy
AI governance is more important than AI implementation. We will organize information, responsibilities, and risks, and establish operational policies that ensure safe operations within the company.
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[Presentation of Data] What was different about the "recommended companies" by AI?
AI automatically connects without relying on advertisements or budgets. We unveil a next-generation web strategy for the manufacturing industry that is evaluated based on "meaning structure" rather than mere word matching.
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Veteran Inheritance System | AI Knowledge Business Application
AI is more important in being "usable" than in "implementation." By structuring paper manuals and individual know-how with AI, we can rebuild them into business applications that can be used simply by tapping in the field.
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