Generative AI
Advancing decision-making and operations with generative AI to deliver rapid business impact
Generative AI is transforming business.
We provide end-to-end support for generative AI systems, from introduction to practical application.
In recent years, generative AI has accelerated the transformation of companies in all industries by driving automation and efficiency in operations, facilitating more sophisticated decision-making by management and enabling the creation of new value.
However, achieving these results requires multifaceted expertise and strong execution capabilities that encompass selection of technologies, data utilization, operational frameworks and security.
At DATUM STUDIO, our team includes professionals specializing in the development of generative AI systems.
We work side by side with you as a one-stop provider covering every stage from initial implementation to organization-wide uptake and adoption. In addition to developing systems, we also support the following initiatives.
Six Steps for Successful Introduction of Generative AI
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Step 1
Preliminary Assessment
Identify business processes where generative AI should be applied and estimate the potential impact.
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Step 2
Requirement Setting
Define system and business requirements by visualizing business processes and issues.
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Step 3
Analysis and Design
Analyze existing systems and data integration to design new architecture.
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Step 4
Development and Evaluation
Develop and verify solutions from proof-of-concept (PoC) to deployment, followed by evaluation.
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Step 5
Operational Readiness
Draw up security and governance plans, and establish operational structure.
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Step 6
Launch
Drive user adoption (hands-on training and formulation of operational guidelines).
We help you address your business needs and issues.
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Making internal knowledge accessible throughout the organization to reduce time spent searching for information and responding to inquiries
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Sharing know-how and best practices to standardize the quality of customer support
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Automating document processing (extraction, summarization and classification) to reduce workload.
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Conducting a phased rollout by starting on a small scale, confirming results and scaling usage gradually
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Meeting security and governance requirements to ensure AI can be used with confidence
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Continuously optimizing quality and cost after introduction.
Examples of Generative AI System Development
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Knowledge Search and Conversational Assistant
Development of chatbots that search across internal documents, manuals and FAQs to deliver accurate answers that cite source materials. This is, by and large, the standard use case for generative AI systems.
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Knowledge Search and Conversational Assistant
Streamline business operations with a conversational assistant that references your internal documents.
Generative AI offers both advanced reasoning capabilities and the ability to instantaneously comprehend large volumes of documents. As a result, the assistant can provide accurate responses with citations from a large volume of internal policies, manuals, FAQs and other sources. This significantly reduces time spent searching for information and enables faster on-the-spot decision-making.Key Functions
- OCR-based preprocessing for PDFs and images, including document segmentation and summarization
- Source-backed responses with document citations
- Filtering of search results based on user access permissions or authorization levels
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Generative AI Application Development
Support for the design, development and minimum viable product (MVP) launch of new and existing services that incorporate generative AI. Our end-to-end engagement extends from requirements definition and user experience design to model selection and operation.
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Generative AI Application Development
Develop applications powered by generation, summarization and reasoning capabilities.
Leveraging the flexible cognitive processing capabilities of generative AI enables applications with advanced functions that deliver entirely new customer experiences. Advanced features such as deep personalization and dynamic creative design enable you to provide services at a previously unachievable level.Scope of Development Services
- Product design (user experience, requirements definition and metric setting)
- Model selection, prompt design and evaluation and guardrail setup
- Architecture design, data integration and construction of security and operating infrastructure
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Document Processing Automation
Automate summarization, data extraction and classification of documents such as estimates, contracts, technical drawings and reports. Integrating these processes with review and workflow systems substantially reduces time spent on document-related tasks.
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Document Processing Automation
Automate summarization, extraction and classification with AI that understands documents, substantially reducing the time required for employee review.
Generative AI can extract key information from documents, including PDFs and images, and standardize tasks such as comparison, tracking changes and content review. Processing capabilities beyond human capacity ensure output quality and improve operating efficiency.Examples of Core Capabilities
- Text generation: Content creation, editing, proofreading, summarization and translation
- Text comprehension: Reasoning, data extraction, classification, automated evaluation and schema definition
- Image and video comprehension: Understanding of video and visual content embedded in documents
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Business Process Automation and Streamlining
Go beyond document processing to automate a wide range of business processes, including operation of internal systems. Increasing the efficiency of all tasks raises productivity.
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Business Process Automation and Streamlining
Develop agent-based software that automates business processes.
By leveraging the advanced reasoning capabilities of generative AI, these agents combine planning, tool integration, observation and self-evaluation to autonomously drive business processes. They can adapt flexibly to changes, which previously required human intervention.Key Functions
- Creation and automated execution of step-by-step plans required to complete tasks
- Operation of internal tools and external SaaS, and autonomous use of tools
- Automated searching, summarization and extraction of information from documents
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Evaluation and Operational Improvement
Visualize usage of generative AI systems after introduction to optimize quality and cost. We incorporate A/B testing for continuous improvement in performance.
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Evaluation and Operational Improvement
Use evaluation data that visualizes quality, cost and response speed to establish an optimal improvement cycle.
Effective deployment of generative AI requires a setup that can adapt to a constantly changing business environment. Systematizing a cycle of measurement, evaluation and improvement for consistently accurate, real-time responses to changes in internal systems and documents ensures that prompts, models and knowledge sources continue to be updated safely.Key Functions
- Monitoring and measurement of quality, cost and response speed
- Automated evaluation, regression testing and A/B testing
- Updates to models, prompts and knowledge bases
- Document change management with automated quality checks and monitoring
- Management of integration with internal systems
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Multimodal AI (Image, Audio and Video)
Understand and summarize images, video and audio as well as text. Extract immediately actionable insights from meeting minutes, recordings and reports.
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Multimodal AI (Image, Audio and Video)
Automate the understanding, summarization, extraction and explanation of images, audio and video.
Generative AI flexibly processes not just text, but also visual and audio data. It enables summarization of meeting minutes, detection of key information from video content and accurate transcription through speech recognition and speaker diarization, thus improving work productivity.Key Functions
- Image and video analysis, speech recognition and speaker diarization
- Extraction and summarization of key information along timelines
- Integrated processing of video and audio through connections to cameras, microphones and sensors
Examples of DATUM STUDIO Implementation Support
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Manufacturing
Development of generative AI systems to support factory maintenance operations. Utilization of equipment maintenance logs and malfunction records enables more sophisticated analysis of sensor anomalies.
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Manufacturing: Building a Factory Maintenance Support System
Develop an agent-based system to support maintenance operations for factory equipment.
The system enables real-time monitoring that integrates historical maintenance and malfunction records, equipment manuals and other data with daily sensor data. We provide end-to-end support, from assisting on-site maintenance work to drawing up and deciding on operational plans.Customer Issues
- Insufficient support for new maintenance personnel
- Need to monitor factory operations and make timely decisions from physically remote locations (e.g., conference room at headquarters)
Approach to Solving Issues
- Collect and centrally manage factory documents and sensor data on a cloud-based platform
- Use generative AI to understand information and assist operations as a conversational agent
- Use generative AI to automatically generate reports summarizing the operating status of factory equipment
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Distribution and Retail
Development of generative AI systems that aggregate and analyze store-level management data for distributors and retailers with nationwide store networks. Leveraging real-time data enables actions that directly improve inventory management and sales, supporting increased customer satisfaction and business growth.
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Distribution and Retail: Building a Management Data Utilization System
Develop a generative AI system for effective use of store-level data to support management decision-making for distribution and retail businesses operating nationwide.
By accelerating data utilization, the system leads directly to improvements in inventory management and sales performance.Customer Issues
- Difficulty visualizing and effectively utilizing a large volume of store data
- Data required for management decision-making is not yet fully organized or utilized
Approach to Solving Issues
- Use generative AI to centrally summarize and condense store-level management data
- Build a demand forecasting model and automatically analyze store-level performance (strong and underperforming locations)
- Implement a BI dashboard for real-time visualization of store-level management data
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E-commerce and Mail Order
Generate and propose draft responses to customer email inquiries. Substantial improvement in the efficiency of operations that were previously handled entirely by humans contributes to rapid response and greater customer satisfaction.
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E-commerce and Mail Order: Email Response Generation System
Automatically generate draft responses to customer email inquiries after collecting relevant information.
By rapidly composing responses that focus on what customers truly need to know, the system reduces the cost of employee work.Customer Issues
- Difficulty organizing and assessing the information required to produce an appropriate response
- Inconsistent response quality depending on the individual handling the inquiry
Approach to Solving Issues
- Aggregate relevant data such as customer inquiry history, purchase records and product information
- Use generative AI to automatically generate appropriate response drafts based on the relevant information
- Build an integrated platform that enables an employee to review, edit and send AI-generated drafts
Implementation Process
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Assessment
Clarify current issues and desired outcomes.
Align views on business scope, data management status, KGIs and KPIs. -
Design
Design the scope and user experience.
Establish the operational concept and security rules at this stage. -
PoC / MVP Implementation
Begin with validation and implementation of the smallest viable configuration.
Make enhancements by incorporating feedback from on-site users. -
Pilot Operation
Begin with a pilot operation to verify effectiveness and safety.
Identify areas for improvement in preparation for full-scale rollout. -
Operation Launch
Ongoing ImprovementStart operation in the actual use environment.
Systematize monitoring and a continuous improvement cycle, gradually expanding usage. Support organization-wide adoption.
Success Metrics (Examples)
We visualize results after system launch using quantitative metrics, going beyond implementation to support adoption.
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Inquiry Response Time
–40%
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Self-Resolution Rate First-Time Resolution (FTR)
+25pts.
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Work Hours Required for Document Processing
–30%
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Cost Optimization per Response
–20%
Note: The figures above are examples only. We will design the optimal KPIs for your industry and use case.
Frequently Asked Questions
- QIf our company chooses DATUM STUDIO, will it handle our data securely?
- AYes. We design data handling rules in accordance with each customer’s internal policies and use your data only to the minimum extent necessary. We enforce strict access controls and log management to ensure a secure and trustworthy environment.
- QCan we start on a small scale to evaluate costs and effectiveness?
- AAbsolutely. We can quickly build a prototype system for practical use in real operations, allowing you to confirm its effectiveness as you expand it step by step.
- QCan DATUM STUDIO’s products be integrated with our company’s existing SaaS and internal systems?
- AYes. We design the user experience to seamlessly integrate with the tools and workflows already used in your day-to-day operations.
- QWill we be able to use the system immediately after implementation?
- AYes. With our intuitive and user-friendly UX design, even first-time users can get started right away. We also offer training and follow-up support to help ensure adoption throughout your organization, if you wish.
- QWhat is DATUM STUDIO’s policy on AI development and usage?
- AOur policy on the use of AI is presented at the link below.
DATUM STUDIO’s Commitment to the Responsible Use of AI
https://datumstudio.jp/en/responsible-ai/
Note: The content on this page is based on information available as of 2025. Please feel free to contact us for the latest updates.
PARTNER
Team comprising over 150 data scientists Proven track record across industries and sectors
DATUM STUDIO has a team of more than 150 data scientists and a proven track record of using AI in the resolution of management issues for companies in a broad range of industries and sectors. To help you achieve your business goals, we can flexibly respond to needs from problem identification to planning for optimal data utilization, proof of concept (PoC), infrastructure building, AI model construction, continuous integration (CI), continuous delivery (CD), and continuous training (CT).
