ヘッドウォータース 生成AIソリューション
: How to use it, features, and the business problems it solves
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What is ヘッドウォータース 生成AIソリューション?
ヘッドウォータース 生成AIソリューション is AI adoption and development support from Headwaters Co., Ltd. (Shinjuku, Tokyo; listed on the TSE Growth Market). Centered on Azure OpenAI, Microsoft Foundry and Copilot Studio, it supports AI agents, RAG, SLMs, edge AI and AI-driven development from requirements definition through production operation and in-house enablement. Published cases include Resona Bank, Dai-ichi Life and JR East. Pricing is not published (individual quote).
Business problems it solves
About "ヘッドウォータース 生成AIソリューション"
What is ヘッドウォータース 生成AIソリューション (Headwaters Generative AI Solutions)?
ヘッドウォータース 生成AIソリューション is development-led AI adoption support from Headwaters Co., Ltd. (株式会社ヘッドウォータース, listed on the TSE Growth Market), which goes as far as building generative AI and AI agents into a company's systems. Centered on Microsoft's AI stack (Azure OpenAI, Microsoft Foundry, Copilot Studio), it covers RAG (combining internal data search with generative AI), small language models (SLMs), edge AI and AI-driven development, from requirements definition through design, development and operation.
The official website publishes many case studies from large companies in finance, railways, aviation and manufacturing, and its main customers are large enterprises. It also offers "X-Tech Forward Deployed Engineering (FDE)", in which engineers work on the customer's site through to production operation and in-house capability, and "HWS Agent Camp", a hackathon that builds an AI agent prototype in two days. Pricing is not published.
Support at a glance
How the engagement works
The company calls its style of support, in which engineers go into the customer's site and handle everything from finding problems to implementation, production operation and adoption, "X-Tech Forward Deployed Engineering (FDE)", and describes it in three stages. The goals are to move beyond PoCs (proofs of concept) into production, and to transfer knowledge and technology so that customers can keep operating and improving the systems themselves.
Understand the business and operations
Learn the business goals, workflows and on-site knowledge, and turn the target state into technical requirements
Implement for the customer's environment
Design, develop and integrate while respecting constraints such as security, permissions and connections to existing systems
Enable continuous operation and improvement
Support adoption in daily work and transfer knowledge and technology, aiming for the customer's engineering team to run the system
Source: Headwaters Co., Ltd. official website (X-Tech Forward Deployed Engineering)
For companies that want to start small, there is "HWS Agent Camp", an intensive AI agent hackathon. About two weeks of preparation sets the theme, data and environment; the customer's engineers and business staff then build together with Headwaters' specialists in person for two days; afterwards the prototype is evaluated and a roadmap toward full adoption and budgeting is drawn up. The company says it may offer an option to try this free of charge as a PoC (no conditions are stated).
Service menu
The AI Solutions page lists more than 20 offerings. The main ones fall into the following groups.
01Generative AI and AI agent development
Developing AI built into business operations, mainly on Microsoft's AI stack.
- AI agent development — design and build of single and multiple AI agents, plus continuous improvement in the operation phase (AgentOps)
- RAG solutions — generative AI that answers by searching internal data, including "Advanced RAG" on Microsoft Fabric and on-premises RAG with Elasticsearch
- Azure OpenAI Service integration / Microsoft Foundry — enterprise generative AI apps integrated with Azure services
- Microsoft Copilot Studio — in-house capability support and development, assuming front-line staff build AI agents with low code
- Context engineering — designing and supplying the business data, tacit knowledge and permissions that AI agents use to make decisions. The company says it has provided this to more than 10 enterprise customers
02Industry solutions
Offerings that package the scope of application based on industry track records.
- AI agents for finance — customer touchpoints such as AI operators and video teller windows, form processing with AI-OCR, loan screening, fraud detection, regulation search and legacy migration
- AI agents for manufacturing — from production data analysis, AI anomaly detection, predictive maintenance and quality/yield improvement to physical AI (physical execution such as robots)
03Lightweight models and edge AI
AI that runs on devices or in environments without a cloud connection.
- SLMs (small language models) — generative AI that runs on devices and offline, using models such as Microsoft's Phi series
- Edge AI / NVIDIA solutions — including "LLaVA Edge Vision", which issues work instructions and hazard alerts from factory camera images, and in-vehicle edge AI agents
04In-house development and skills
Support so that customers' development teams and front-line staff can use AI themselves.
- AI-driven development — establishing, as an organizational standard, a development method in which AI agents carry out design, implementation and review, centered on GitHub Copilot. Provides the development standard "SAIDDar"
- HWS Agent Camp — a hands-on program that builds an AI agent prototype in a two-day intensive hackathon
- Prompt Engineering Lab — hands-on support combining workshops and seminars on generative AI basics, use-case planning, prototype building and technical advisory
- Azure OpenAI Service hands-on workshop — a corporate workshop for learning what generative AI can and cannot do by actually using it
Source: Headwaters Co., Ltd. official website (AI Solutions)
Pricing
Pricing is not published (individual quote). The official website gives no guide prices for monthly fees, PoCs or development. HWS Agent Camp states that "an option to try it free of charge as a PoC may be offered", but the conditions are not described, so you need to confirm them by inquiry.
Track record and case studies
The company says it receives generative AI consultations from more than 100 companies a year. The client list in its company profile includes large companies and public bodies such as Sony Group, Fujitsu, Daiwa Securities, Dai-ichi Life, Sumitomo Mitsui Banking Corporation, Resona Bank, JR East, JR West, Japan Airlines, Toyota Motor Kyushu, ITOCHU, Lawson, Suntory Holdings and the Ministry of Economy, Trade and Industry.
The main cases published in its case studies and press releases are as follows (figures as announced).
| Customer | What was done | Published results / timing |
|---|---|---|
| Resona Bank / Saitama Resona Bank | System development for a video teller service in which people and AI work together (with Headwaters Consulting) | Rolled out to target branches from September 14, 2026. Aims to cut procedures averaging about 30 minutes to about 15 minutes |
| Dai-ichi Life | Design and development of a new AI-OCR platform using Azure OpenAI and Azure Document Intelligence | Processes about 900,000 sheets a month. Recognition accuracy for ID documents improved by about 20% and running costs roughly halved. In operation since April 24, 2026 |
| JR East | Built the platform for the new business "HirakeBA", applying AI-driven development to every phase | By the company's estimate, about 92% less development effort and about 47% shorter development time than conventional development |
| J-POWER (Electric Power Development) | Risk assessment support system for construction plans used by about 3,000 group employees (OCR, RAG, Azure OpenAI) | In verification in July–September 2026, recall of correct risks improved from 67.6% to 76.3% (announced October 26, 2026) |
| Daiwa Securities | Developed "Daiwa Securities AI Operator", in which generative AI answers phone inquiries, as prime vendor | — |
| JR West | Development support for "Copilot for 駅員", a generative AI assistant for station staff | — |
| Japan Airlines | With Fujitsu, a proof-of-concept for report writing using an SLM that runs offline on in-flight tablets | — |
Case studies of HWS Agent Camp and internal hackathon support at JR East's "JRE MALL", Remote Robotics and DENSO TEN are also published.
Source: Headwaters Co., Ltd. official website (Generative AI Solutions)
On its relationship with Microsoft, the company received the "AI Innovation Partner of the Year" award in Microsoft Japan Partner of the Year 2024 in July 2024, and holds advanced partner credentials (Specializations) in two areas: "AI Platform on Microsoft Azure" and "Agentic DevOps with Microsoft Azure and GitHub" (AI Platform renewed in October 2026). It is also a Databricks SI consulting partner and a GitHub technology partner.
Who it suits and who it doesn't
It suits large companies that want to build generative AI or AI agents into core operations or customer-facing services in production. You can leave everything from development to production operation and continuous improvement to one company, and there are many published cases in industries with strict quality and security requirements, such as finance, railways and manufacturing. Companies that use Microsoft 365, Azure and GitHub will find that these overlap with Headwaters' core platforms. It also fits companies that want their development teams to adopt AI-driven development, or that want to build a prototype in two days first as material for internal decisions.
It is less suited to companies that want to know the budget up front, or to small businesses that want to start with a modest monthly advisory contract. No guide prices are published and published cases are mainly large companies. For small businesses, the group company's ブーストマーケティング AI導入支援 publishes its pricing. If you are looking for support built on a cloud other than Microsoft's, bear in mind that its cases and menu center on Azure when you consult.
Differences from other AI adoption support and consulting firms
Compared with other firms that handle development for large enterprises (contents as of the check date on each product page):
| Company / service | Operator (listing) | Strengths | Pricing (published) | Target company size |
|---|---|---|---|---|
| ヘッドウォータース 生成AIソリューション | Headwaters Co., Ltd. (TSE Growth) | AI agent and RAG development on Microsoft's AI stack, AI-driven development, SLMs and edge AI | Not published | Mainly large-company cases |
| エクサウィザーズ | ExaWizards Inc. (TSE Growth) | Company-wide generative AI adoption, workshop-based use-case creation | Not published | Mainly large companies and local governments |
| ABEJA | ABEJA, Inc. (TSE Growth) | AI in core operations; manufacturing, infrastructure, logistics, retail | Not published | Mainly large companies and government |
| Laboro.AI | Laboro.AI Inc. (TSE Growth) | Custom-built AI development | Not published (initial consultation and rough proposal free in principle) | Corporations only; mainly large companies |
| ELYZA | ELYZA, Inc. (KDDI Group) | Japanese LLM development and specialized training | Not published | For large companies (official) |
| AVILEN AI戦略コンサルティング | AVILEN Inc. (TSE Growth) | Business implementation of generative AI and machine learning, in-house development | Not published | Not stated |
| ブーストマーケティング AI導入支援 | BoostMarketing Inc. (Headwaters group company) | Building AI agents with Dify and in-house development by non-engineer staff | AI utilization diagnosis JPY 600,000 / ABB JPY 300,000 per month, JPY 1.5 million for 5 months (all excl. tax) | Small and medium businesses (official) |
For a comparison of 24 companies from the same viewpoints, see "AIコンサル・AI導入支援会社おすすめ比較".
FAQ
How much does Headwaters' generative AI adoption support cost? Pricing is not published; it is quoted individually. The official website gives no guide prices for monthly fees, PoCs or development. HWS Agent Camp states that an option to try it free of charge as a PoC may be offered.
Can I leave development to them? Yes. Its scope runs from requirements definition through design, development and testing to production operation and continuous improvement (AgentOps), and it publishes development cases for systems in production, such as Resona Bank's video teller windows and Dai-ichi Life's AI-OCR platform.
Can small businesses use it? No size requirement is stated, but published cases and the client list are mainly large companies. Within the same group, BoostMarketing offers support with published pricing for small and medium businesses.
Can they work in environments other than Azure? The menu and cases center on Microsoft's AI stack (Azure OpenAI, Microsoft Foundry, Copilot Studio). It also publishes offerings as a Databricks and Elasticsearch partner, solutions using NVIDIA's edge AI platform, and AI-driven development work using Anthropic's Claude.
Can they help us build AI capability in-house? Yes. It offers several menus aimed at in-house capability: FDE that transfers technology on site, Copilot Studio in-house enablement, support for establishing AI-driven development, HWS Agent Camp that builds a prototype in two days, and workshops and hands-on seminars.
The information on this page is based on what was published on the official website as of November 2026. Please check the official website for the latest pricing and details.
