ITLINE to Launch AWS Generative AI System Development and Operation Service for Corporations on May 14
ITLINE will launch a new service, "AWS Generative AI System Development and Operation," for corporations on May 14, 2026. This service builds corporate-specific generative AI systems on the AWS cloud, integrating with major LLMs like Claude (via Amazon Bedrock), ChatGPT (OpenAI), and Gemini (Google). It supports internal business automation with approval flows, access control, and log management, ensuring secure AI utilization.
📋 Article Processing Timeline
- 📰 Published: May 8, 2026 at 17:50
- 🔍 Collected: May 8, 2026 at 09:01
- 🤖 AI Analyzed: May 8, 2026 at 09:10 (9 min after Collected)
ITLINE Co., Ltd. (Headquarters: Minato-ku, Tokyo / Representative Director: Tomonobu Kodama) will launch a new service for corporations, "AWS Generative AI System Development and Operation," on May 14, 2026 (Thursday). This service builds corporate-specific generative AI systems on the AWS cloud infrastructure, primarily utilizing Claude via Amazon Bedrock, and also supporting integration with major LLMs such as ChatGPT (OpenAI) and Gemini (Google). It designs, develops, and operates systems for automating internal tasks like proposals, marketing materials, and meeting minute summaries, equipped with approval flows, access control, and log management as a corporate management mechanism.
■ Background: Personal AI Use Still Poses Risks for Corporate Use
When using personal AI accounts for business on company PCs, challenges remain for corporate use, such as managing input data, verifying generation history, transmitting information externally, approval flows, and consistency with internal rules.
To safely utilize AI in business, it is necessary to build an AI infrastructure that can be managed by the company, rather than relying on individual discretion.
■ Recommended for the Following Corporations
"I want to use AI, but I'm worried if personal use is sufficient."
"I want to create an AI system tailored to our internal operations."
"I want to utilize AWS to operate corporate-managed AI."
"I want to flexibly use LLMs like Claude / ChatGPT / Gemini according to purpose and internal policy."
We offer consultation from the planning stage for such companies.
■ Service Overview
"AWS Generative AI System Development and Operation" is a service that designs, develops, and operates corporate-specific generative AI systems on the AWS cloud infrastructure. By combining Amazon Bedrock, AWS Lambda, Amazon EventBridge, Amazon S3, etc., it supports the automation of internal tasks such as proposals, marketing materials, presentation materials, meeting minute summaries, and monthly reports. It designs a single business workflow that is independent of PC startup or personal accounts, including scheduled execution, data storage, approval, external service integration, and log management.
■ Integrates with Major LLMs - Flexible Selection According to Purpose and Internal Policy
This service primarily utilizes Anthropic's Claude via Amazon Bedrock, while also supporting integration with the following major LLMs (Large Language Models) according to business requirements and existing internal usage environments:
Claude (Anthropic): Natively available via Amazon Bedrock. Strong in long-text comprehension, summarization, and document generation.
ChatGPT / GPT series (OpenAI): Integrates via OpenAI API. Utilized for general business document generation and dialogue.
Gemini (Google): Integrates via Google AI API. Can also leverage its affinity with Google Workspace.
Other LLMs: We also consult on and support proprietary internal models and open-source LLMs.
We can also propose a "multi-LLM configuration" that uses multiple LLMs for each business process. We design the optimal combination according to your company's internal policies, existing contracts, and data handling policies.
■ Anticipated Use Cases
Automatic generation of weekly and monthly reports
Drafting of proposals, presentations
Summarization of meeting minutes, extraction of tasks
Collection and summarization of industry news and competitor trends
Internal Q&A and document generation utilizing internal knowledge
Automatic distribution to Microsoft 365 / SharePoint, etc.
■ Designed with Emphasis on "Stability, Governance, and Auditability" Required for Corporate Use
Stable operation independent of PCs
We design a configuration that can be automatically executed on AWS, independent of individual PC startup, Wi-Fi connection, or application startup.
Design conscious of data governance
We organize access control, data storage locations, and external transmission scope to build an AI utilization environment suitable for corporate use.
Log management and audit compliance
We utilize Amazon CloudWatch and IAM to design a system that allows verification of who, when, and what was generated or executed.
■ Example System Configuration
EventBridge
Automatically manages the timing of routine task execution
Lambda
Pre-processing for collecting and formatting internal/external data
Amazon Bedrock / Various LLM APIs
Select Claude, ChatGPT, Gemini, etc., according to requirements. Executes document generation, summarization, classification.
S3
Stores generated drafts, reference data, and history in corporate-managed storage.
Microsoft 365 / Internal Portal Integration
Automatic distribution and company-wide sharing after confirmation and correction.
*The configuration is an example. It will be customized based on customer's business content, security requirements, existing systems (Microsoft).
■ Background: Personal AI Use Still Poses Risks for Corporate Use
When using personal AI accounts for business on company PCs, challenges remain for corporate use, such as managing input data, verifying generation history, transmitting information externally, approval flows, and consistency with internal rules.
To safely utilize AI in business, it is necessary to build an AI infrastructure that can be managed by the company, rather than relying on individual discretion.
■ Recommended for the Following Corporations
"I want to use AI, but I'm worried if personal use is sufficient."
"I want to create an AI system tailored to our internal operations."
"I want to utilize AWS to operate corporate-managed AI."
"I want to flexibly use LLMs like Claude / ChatGPT / Gemini according to purpose and internal policy."
We offer consultation from the planning stage for such companies.
■ Service Overview
"AWS Generative AI System Development and Operation" is a service that designs, develops, and operates corporate-specific generative AI systems on the AWS cloud infrastructure. By combining Amazon Bedrock, AWS Lambda, Amazon EventBridge, Amazon S3, etc., it supports the automation of internal tasks such as proposals, marketing materials, presentation materials, meeting minute summaries, and monthly reports. It designs a single business workflow that is independent of PC startup or personal accounts, including scheduled execution, data storage, approval, external service integration, and log management.
■ Integrates with Major LLMs - Flexible Selection According to Purpose and Internal Policy
This service primarily utilizes Anthropic's Claude via Amazon Bedrock, while also supporting integration with the following major LLMs (Large Language Models) according to business requirements and existing internal usage environments:
Claude (Anthropic): Natively available via Amazon Bedrock. Strong in long-text comprehension, summarization, and document generation.
ChatGPT / GPT series (OpenAI): Integrates via OpenAI API. Utilized for general business document generation and dialogue.
Gemini (Google): Integrates via Google AI API. Can also leverage its affinity with Google Workspace.
Other LLMs: We also consult on and support proprietary internal models and open-source LLMs.
We can also propose a "multi-LLM configuration" that uses multiple LLMs for each business process. We design the optimal combination according to your company's internal policies, existing contracts, and data handling policies.
■ Anticipated Use Cases
Automatic generation of weekly and monthly reports
Drafting of proposals, presentations
Summarization of meeting minutes, extraction of tasks
Collection and summarization of industry news and competitor trends
Internal Q&A and document generation utilizing internal knowledge
Automatic distribution to Microsoft 365 / SharePoint, etc.
■ Designed with Emphasis on "Stability, Governance, and Auditability" Required for Corporate Use
Stable operation independent of PCs
We design a configuration that can be automatically executed on AWS, independent of individual PC startup, Wi-Fi connection, or application startup.
Design conscious of data governance
We organize access control, data storage locations, and external transmission scope to build an AI utilization environment suitable for corporate use.
Log management and audit compliance
We utilize Amazon CloudWatch and IAM to design a system that allows verification of who, when, and what was generated or executed.
■ Example System Configuration
EventBridge
Automatically manages the timing of routine task execution
Lambda
Pre-processing for collecting and formatting internal/external data
Amazon Bedrock / Various LLM APIs
Select Claude, ChatGPT, Gemini, etc., according to requirements. Executes document generation, summarization, classification.
S3
Stores generated drafts, reference data, and history in corporate-managed storage.
Microsoft 365 / Internal Portal Integration
Automatic distribution and company-wide sharing after confirmation and correction.
*The configuration is an example. It will be customized based on customer's business content, security requirements, existing systems (Microsoft).