Clarify challenges and implementation conditions
Organize target business, information used, and current workload. Consider what processing AI will handle and what decisions humans will make.
AI development & integration
Make AI work
in your daily operations.
Realize AI's potential into practical services. We think together from problem identification, prototyping, development, to implementation in business operations.
Consult on this theme
IS THIS YOUR CHALLENGE?
From these challenges.
- I want to use AI for internal information search and document processing.
- I want to try new service ideas.
- Integrate AI into existing business processes
SCOPE OF SUPPORT
Where to start, where to end.
Organize the necessary processes and roles,
We define the scope that fits the project.
Prototype and evaluation
Check output quality, response time, cost, and error handling using samples.
Implementation into applications
Connect search, document processing, assistants, etc., with screens, permissions, and business processes.
Release and continuous verification
Organize usage conditions, contact points, and verification methods, and improve them based on usage situations and technological changes.
Understand the context of use before choosing technology.
Who uses it in which scenario and for what purpose? Organize the purpose of the business and the current process to find areas where AI can be useful.
For example, internal information search, document classification/summary, and input assistance. These are examples of areas to consider. Based on the data status and usage conditions, define the specific scope of response.
Build small and make it capable of making decisions.
In prototyping, check not only the appearance but also the behavior in response to actual input. Evaluate accuracy, response time, usage cost, and response to errors, and gather materials to proceed with the main development.
Moving towards a system where humans and AI work together.
Divide tasks between AI and human verification. Clearly define data handling, access rights, and operational contacts, and plan a design that can adapt to changes after release.
Even when using AI in the development process, we do not consider the generated code or proposals as a guarantee of quality, but confirm through review and testing.
DELIVERABLES
What remains in your hands.
The specific scope will be agreed upon through consultation.
- 01Clarification of Issues, Target Business Processes, and Verification Conditions
- 02Prototype and Evaluation Results
- 03Agreed Application Scope and Implementation Plan
POSSIBLE APPLICATIONS
For example, this kind of work.
Examples of themes that can be considered for utilization.
Specific response conditions will be confirmed individually.
GETTING STARTEDFirst,
First,
What would you like to ask?
You can consult even if the documents are not ready
- Work to Improve and Users
- Types of Data and Usage Conditions
- Expectations and Constraints on Accuracy and Cost
QUESTIONS & ANSWERS
Frequently Asked Questions
Can I consult even if the use of AI is not yet decided?
Yes. We will organize the issues to be addressed together from the current business operations, the work that is causing a burden, and the data that can be used.
Is it a prerequisite to introduce AI?
No. We will verify accuracy, cost, and operational burden, and consider methods including conventional systemization and business organization.
Is it necessary to verify the results generated by AI?
Depending on the risk of the target business, we design things like manual verification, display of source references, and restrictions on usage scope. We do not assume that all business processes will be automated.
RELATED WORKS
View all cases →Development experience in this field.
CASE 02 Aftermarket automotive · Retail/service
Real-time AI masking of vehicle number plates in store footage
Prime Market-listed automotive parts chain with nationwide operations
Results
See challenges, initiatives, and scope of construction Stable operation without manual work. Corrections can be made from the operation screen for areas missed by the model, achieving both accuracy and operability. Infrastructure monitoring and operations are continuously handled after release.
CASE 04 Finance · Platform for shared asset ownership
From document OCR to asset operations and warehouse management
Business company of a Tokyo Stock Exchange Prime Market-listed group
Results
See challenges, initiatives, and scope of construction Eliminate manual data entry, reduce input errors and processing time. The entire internal business process runs on this foundation.