AI+ Tool and Solution Catalogue

In the current era of information overload, knowledge management and application have become crucial for governments, enterprises, and individuals to enhance productivity. The RICOH InnoAI Hub platform, an intelligent knowledge application and decision engine that integrates cutting-edge AI technology, aims to simplify this process, making the power of knowledge accessible and transforming knowledge management into something intelligent, efficient, and intuitive. We firmly believe that leveraging innovative technology can unlock the potential of knowledge, helping users make precise and efficient decisions.

The RICOH InnoAI Hub platform employs industry-leading Agentic RAG technology, combining advanced technologies such as LLM, NLP, OCR, and DL, and deeply integrates and optimizes these technologies. This enables RICOH InnoAI Hub to parse complex queries, provide accurate knowledge retrieval and generation services, support advanced natural language interactions, and deepen business insights through workflow orchestration.

Intelligent Customer Service

The platform can quickly retrieve relevant information from the knowledge base, generate accurate and personalized responses, significantly improving customer satisfaction. For example, in customer service scenarios, when consumers ask questions such as "What is the battery life of this phone?" or "What colors are available for a certain brand's clothing?", the RAG-based intelligent customer service system can swiftly retrieve relevant information from the product knowledge base and provide accurate answers. Additionally, when handling complex issues, the Agent can derive answers through multi-hop reasoning by combining information from multiple documents. This technology is also widely used in the financial industry, providing users with services such as account inquiries, financial product consultations, and risk assessments.

1）Intelligent Customer Service

AI Agents, through natural language processing technology, can accurately assess customer voice and emotions, identify issues, and provide effective solutions. For instance, Unit21's AI Agent, integrated with Expertise AI-driven virtual assistants, offers 24/7 customer support, helping customers better understand product features, troubleshoot issues, and optimize risk management workflows.

2）Emotion Analysis and Comforting

AI Agents can keenly recognize user emotions, such as anger or disappointment, and handle them accordingly. For example, when a user expresses dissatisfaction, the model prioritizes comforting the user, proactively stating, "We apologize for the inconvenience, and we will immediately investigate the issue," thereby alleviating the user's negative emotions.

Document Management and Knowledge Base

The platform supports extracting knowledge from various formats such as PDFs, PPTs, and Excel to build an enterprise-specific knowledge base. RAG technology can quickly locate key information, reducing repetitive workloads. For example, in internal document management, RAG technology efficiently processes long text content, enabling more effective knowledge management and retrieval.

1）Enterprise-level Document Management

RAG Agents can swiftly locate key information within documents, precisely extract the required content, significantly reducing repetitive tasks, helping enterprises efficiently manage vast amounts of documents, and enhancing team collaboration efficiency.

2）Academic Research Assistance

For scholars, RAG Agents can quickly filter and excerpt key paragraphs from literature, precisely extracting critical information, aiding scholars in efficiently organizing research materials, accelerating the paper-writing process, and allowing more focus on in-depth research and innovation.

3）Personal Knowledge Management

RAG Agents provide personalized search experiences through intelligent processing, accurately matching user needs, significantly improving learning efficiency, and making knowledge acquisition more efficient and convenient.

Complex Task Agent

Agents can break down complex tasks into multiple actionable sub-tasks and flexibly call external tools (such as time queries, chart generation, etc.), achieving efficient planning and precise execution of multi-step tasks, thereby significantly enhancing operational efficiency. For example, in travel planning scenarios, the Agent can dynamically plan and complete tasks step-by-step by calling external tools such as weather queries, budget calculators, and travel product search and purchase tools based on users' personalized needs (such as weather conditions, budget, etc.), providing a one-stop travel planning service.

1）Legal Contract Review

In office scenarios, the legal department typically needs to conduct comprehensive legal risk reviews of contract documents throughout the process, covering service issues, version issues, clause issues, and procedural issues, among others. However, this process is often time-consuming and inefficient. By constructing an intelligent review Agent, preliminary reviews of contracts can be conducted based on predefined risk points, and precise prompts and optimization suggestions can be provided for contracts with potential issues. This initiative not only significantly improves review efficiency and shortens the contract approval cycle but also effectively reduces the probability of contract risks, truly achieving the goal of cost reduction and efficiency improvement.

2）HR Resume Screening

In the office environment, HR faces significant challenges in screening a large number of resumes during the recruitment process. This task is not only time-consuming and labor-intensive but also prone to human oversight. By building an intelligent resume screening Agent, combined with the deep understanding and generation capabilities of LLM (Large Language Models), this issue can be efficiently resolved. The Agent can accurately parse the recruitment criteria in job descriptions (JD), including hard requirements and soft skills, while intelligently comparing key information in resumes, such as education, work experience, and skill matching. It also provides multi-dimensional scoring and evaluation for each resume. This not only significantly improves screening efficiency but also ensures objectivity and consistency in assessments, helping HR quickly identify high-quality candidates, shorten the recruitment cycle, and enhance recruitment quality. Additionally, the Agent can generate detailed screening reports, providing data support for subsequent interview arrangements, further advancing the professionalism and intelligence of the recruitment process, and offering strong support for the implementation of the company's talent strategy.