AI designed for the workflow
Scope use cases such as inquiry handling, document retrieval and extraction, including the points where people need to review the result.
01 AI & DATA
AI should change how work gets done. One team supports discovery, focused validation, data foundations and operational rollout.

Snowflake partner
Google Cloud
FROM WORKFLOW TO DELIVERABLES
How we work ↗01 OUR APPROACH
Scattered data, repeated checks and decisions that depend on experience. We establish priorities from both the workflow and data perspectives.
Scope use cases such as inquiry handling, document retrieval and extraction, including the points where people need to review the result.
Use Snowflake or Google Cloud where appropriate to connect collection, integration, access and visualization.
Evaluate not only prototype quality but operating cost and usability to inform the production decision.
03 HOW WE WORK
Use what you learn to inform the next decision. You can join at the phase you need.
Define workflows and priorities
Evaluate value, quality and feasibility
Connect to existing operations
Improve based on usage
Cost and timing depend on scope, the existing environment and required deliverables.
Choose your starting pointDESIGN / VALIDATE / OPERATE
A good model response is only one part of delivery. Access, source updates and reviewer effort determine whether it fits the workflow. Separate data, decisions and actions, including the outputs that need human approval.
Evaluate representative and exceptional cases separately from the data used during development.
Make it possible to trace answers and metrics to source records and their update state.
Define handling for incorrect answers, unauthorized retrieval and failed operations, with a manual fallback.
04 START A PROJECT
A CLEAR FIRST STEP
Tell us about your objectives and current situation.
We will propose a clear scope, deliverables and approach.
Start with your current situation and challenges, even before requirements are defined.
Review work, cost, timing and exclusions. Additional work is discussed before it begins.
Confirm the terms before starting. Subsequent phases depend on results and business needs.
05 QUESTIONS
Yes. We agree on the validation scope, evaluation method and deliverables. The production decision can follow the results.
We first review data locations and formats. If preparation is needed, we propose that scope separately from AI development.
No. We assess the existing environment, volumes, access needs and operating structure to choose an appropriate architecture.
FIND YOUR AI OPPORTUNITY
Use your company website and workflow answers to explore opportunities and prepare a consultation. View your results immediately.
AI CONSULTATION / YOUR NEXT STEP
For executives and AI project owners. Discuss your challenges without preparing documents. Japanese-language page.
Test feasibility with your dataDefine the workflow, data and evaluation criteria, then move from a focused test to development. Japanese-language page.