7 Checkpoints to Avoid Failing at AI Vendor Selection

Look at the Company, Not Just the Product

The quality of an AI tool isn't determined by the product alone. The reliability of the vendor behind it determines long-term success or failure.

7 Checkpoints to Evaluate

① Track Record and Case Studies Check whether the vendor has case studies from companies of a similar size and industry. Avoid vendors who only offer vague or abstract success stories.

② Support Structure Confirm whether Japanese-language support is available and that there is a clear point of contact for inquiries.

③ Data Handling Policy Verify that the vendor clearly discloses where your data is stored and how it is used. Vague disclosures are a red flag.

④ Pricing Transparency Make sure the pricing structure—initial fees, monthly costs, and add-ons—is clearly laid out. Hidden costs will strain your budget later.

⑤ Scalability Check whether plans can be adjusted as your business grows. A tool that can't scale will hit its limits quickly.

⑥ Contract Termination Terms Always review the minimum contract period and cancellation conditions in advance. Be cautious of vendors with long lock-in periods.

⑦ Security Certifications Confirm whether the vendor holds certifications such as ISO 27001 or SOC 2. Certifications are a reliable benchmark for trust.

Don't Rush the Decision

Rushing into a contract just because AI is trending is a mistake. Use these 7 checkpoints as a checklist and compare vendors with a cool head. Choosing the right vendor is what determines the return on your AI investment.

At nanakazoku, we support small and medium-sized businesses every step of the way—from vendor selection to post-implementation follow-up. Feel free to reach out for a consultation.