What is an AI-native CRM?
by Banjo Adesuyi
Short answer: an AI-native CRM is designed around AI doing the work, instead of adding AI features to a database that people fill in by hand. The simple test is who updates the record and who does the follow-up. If it's still you, the AI is an add-on.
AI-native vs AI added on
| AI added on | AI-native | |
|---|---|---|
| Where data comes from | Mostly people typing | Calls, email and calendar |
| What the AI does | Summarises and drafts when asked | Works without being asked |
| Your job | Update it, then act on it | Review and approve |
The three levels of AI in a CRM
- Assist: you ask, and it summarises a call or drafts an email.
- Automate: it fills in fields and suggests next steps.
- Execute: it does the work that comes next, like the follow-up, the attachment and the record update, and brings it to you to approve.
Most products marketed as "AI CRM" sit at the first or second level. That can be useful. It just doesn't remove the work. We call the third level a self-executing CRM.
How to tell which one you're looking at
- After a sales call, what's already done without you asking?
- Does it work from day one, or do you build the agents first?
- Do the drafts sound like you, or like software?
- Can you control what it does on its own, and what waits for you?
- Does it cover phone calls as well as video meetings?
Does AI-native mean no human in the loop?
It shouldn't. Good AI-native tools let you set how much runs on its own. In Viro, nothing goes to a prospect by default until you approve it, and you widen that as you build trust. Here's how autonomy works. For where to draw the line, read what AI should be allowed to change in your CRM.
Who needs one?
An AI-native CRM helps most when the people selling are short of time: founders, and small teams without a sales ops person. Large teams with an admin and heavily customised workflows may get more from adding AI to the system they already run.
