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    AI Agent Development Service with Amazon Bedrock

     Info
    This service provides comprehensive support for planning and development of AI agents aimed at automating business operations and inquiry responses. Utilizing Amazon Bedrock for single or multi-agent development, and Dify for constructing AI agent workflows, we assist in enhancing your operational efficiency.

    Overview

    Acroquest Technology offers many kinds of technology solutions that leverage generative AI.

    This service supports planning, development, and implementation of generative AI agents tailored to customer operations using Amazon Bedrock. It enables the creation of AI agents for diverse use cases including, but not limited to, business process automation, customer support, and in-company knowledge search, in a scalable and secure configuration on AWS.

    In addition to utilizing LLMs via Amazon Bedrock, it also supports advanced workflows with multi-agent systems and the construction of agent flows using Dify. With a flexible configuration that foresees post-deployment operation and expansion, and a design adhering to AWS best practices, we provide sustainably usable AI agents.

    â– Main Features:

    1. Construction of AI agents to streamline various operations Leveraging our expertise in generative AI utilization, we can address a wide range of use cases including conversational agents, document analysis, and external service integration.

    2. Support for multi-agent configurations and utilization of Dify Enables the realization of advanced AI agents through the coordination of agents with multiple roles and agent flows that execute a series of business processes.

    3. Scalable deployment with a serverless serverless architectures Achieve a scalable configuration that can flexibly respond to fluctuations in access through AWS's serverless architecture.

    â– Reference Use Cases:

    1. RAG Agent (Agentic RAG) Implements a conversational agent that searches and summarizes multiple internal documents and FAQs across the board, providing contextually appropriate responses. Particularly adept at utilizing RAG (Retrieval-Augmented Generation) to answer highly specialized questions.

    2. Data Analysis Agent Provides analysis, aggregation, and insights via LLM in response to natural language inquiries about operational data and metrics. Realizes agents useful in strategic planning, sales, and marketing environments.

    3. Application Document Check Agent Automates the checking of applications and contracts in HR, finance, and legal departments based on predefined rules and regulations. Quickly processes a large volume of application documents, achieving operational efficiency.

    4. Market Research Agent Acquires and summarizes web content, automatically collecting, organizing, and reporting on competitor trends, product information, industry news, etc. Reduces the time-consuming research tasks and quickly delivers research results.

    Highlights

    • We will build chat agents and RAG agents that integrate with various data processing and external services based on Amazon Bedrock.
    • It also supports multi-agent systems and integration with Dify, enabling advanced AI agents that automate business processes.
    • By utilizing a serverless serverless architectures, we achieve AI agents with superior scalability and maintainability.

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    For more details, please contact us at the following: email: aws_acro_sales@acroquest.co.jpÂ