Quality and Responsibility
Verification, data and permissions, progress sharing, post-launch support. We will specifically introduce items to be confirmed and agreed upon in the project.
What constitutes completion? We align our understanding first and confirm it in actual usage scenarios.
Acceptance criteria, test perspectives, verification results
Which data, who, for what purpose? We incorporate it into the system after confirming the usage conditions.
Data flow, permission design, and operational conditions.
Now you can share the progress, decisions, and the reasons and impacts in clear terms.
Role assignment, progress sharing, and record of decisions.
Information to move forward and roles to support. Organize and hand over what is needed for operations.
Handover documents, operational systems, improvement plans
Just because the answer seems correct doesn't mean it's usable for business. We evaluate input variability, the impact when wrong, and the effort required for verification.
We design the places where people verify AI proposals, the operations to approve execution, and the data to reference. We confirm whether the necessary conditions are met by referring to samples and usage scenarios.
Learn more about AI development →This page outlines our approach. Specific verification items, response times, scope of responsibility, and deliverables will be agreed upon individually. This does not indicate the possession of certifications or uniform SLAs.
