How SMEs Choose AI Service Providers?

Recently, I've been talking to some clients and found that many companies are confused when choosing AI service providers. Here are some personal suggestions for your reference.

1. Clarify Your Needs First

Before looking for a service provider, think clearly about a few questions:

• What specific problem do you want to solve?
• What's your approximate budget?
• How long do you expect to see results?

The clearer the requirements, the smoother the communication.

2. Cases Are More Important Than Technology

Many service providers will talk about many technical terms, but what's really important is: Have they done similar projects before.

Ask for:

• Cases in the same industry
• Verifiable effect data
• Customer contact information (if convenient)

3. Start with Small-Scale Pilots

Don't start with big projects. Start with a small scenario, verify the effect, and then expand.

This way, the risk is controllable, and you can better evaluate the service provider's capabilities.

4. Value After-Sales Service

System launch is just the beginning. Subsequent maintenance and optimization are equally important.

Confirm before signing the contract:

• Is there after-sales support?
• What is the response time?
• How are system upgrades handled?

5. Price Is Not the Only Criterion

The cheapest is not necessarily the best, and the most expensive is not necessarily the most suitable.

The key is to find a service provider that has good value for money and can solve problems.

These are some personal experiences, hope they help. If you have other questions, feel free to contact us.