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AI CRM buyer's checklist:30 questions to ask before you buy

When choosing AI CRM, enterprises should not just look at the demonstration effect, but also evaluate customer intelligence, task automation, knowledge base, data security, deployment method, implementation services and long-term maintenance capabilities.

Selection dimensions

Four dimensions, covering capabilities, security, service and experience

Product capabilitiesCAPABILITY
  • Whether to support customer summary
  • Whether to support customer stage judgment
  • Whether to support risk identification
  • Whether to support automatic task generation
  • Whether to support knowledge base content generation
Data securitySECURITY
  • Whether to support permission control
  • Whether to support data isolation
  • Whether to support operation log
  • Whether to support private deployment
Implementation servicesSERVICE
  • Whether to provide data import support
  • Whether to provide process configuration
  • Whether to provide knowledge base construction?
  • Whether to provide training and after-sales service
User experienceEXPERIENCE
  • Is sales easy to get started with?
  • Is the mobile version available?
  • Whether to reduce manual entry
  • Can it be integrated into daily processes?
Assessment Tools

AI CRM Selection Score Sheet

Give each dimension a score of 1–5 based on weight and compare candidate products side by side.

Dimensionsweightscore
customer intelligence20%1–5
Task schedule20%1–5
knowledge base20%1–5
Data security20%1–5
Implementation services20%1–5
FAQ

FAQ

What is the most important thing when choosing an AI CRM?
The most important thing is whether it can be implemented into the daily customer follow-up process of sales.
Is it okay to just watch the AI ​​demo?
not enough. You also need to look at data, permissions, knowledge base, implementation and long-term use effects.
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