What is an AI CRM?

An AI CRM is a customer database with AI built in. As well as storing contacts and deals, it can read incoming messages, fill in records, summarise conversations, suggest the next step and draft follow-ups. The difference is less typing and fewer forgotten leads, as long as a person still approves what goes to customers.

From a list to an assistant

A regular CRM is only as good as what people type into it. An AI CRM does part of that typing for you. It reads an enquiry, works out who it is from and what they want, and updates the record. Then it helps with the next move, such as drafting a reply or reminding you that a quote has gone quiet.

What changes with AI

What it needs to work

• Your channels connected, so messages reach it without copying.
• Clean basics: one record per person, no long lists of duplicates.
• Your facts written down, such as services, prices and booking rules, so drafts are accurate.
• Clear stages, so a suggestion like move to quoted means something.

Where Kahu fitsKahu CRMEvery enquiry from your site, WhatsApp and email lands in Kahu CRM automatically, with the next follow-up already drafted.Site, WhatsApp and email enquiries in one listFollow-ups drafted, waiting for your yesNothing typed in by handSee Kahu CRM →Leads · this week3 waiting on youAroha TaneAsked for a valuation · 2h agoFollow-up draftedJMJames MooreWebsite form · quote sent MonRepliedPWPriya WalkerEmail · quiet 6 daysNudge Tue 9am

What to keep human

AI is good at the routine parts: filling fields, summarising and drafting. Keep a person on prices you have not published, complaints, refunds and anything a customer will rely on. A sensible setup is draft and approve: the AI prepares, you check and send. Once a type of message has been right for weeks, you can decide whether to let it go out on its own.

How to test the claims

1. 1Use your own messagesForward ten real enquiries and see how well it creates and fills the records.
2. 2Check the draftsAre they accurate, in your tone, and do they end with a clear next step?
3. 3Look for the off switchYou should be able to choose which actions need approval.
4. 4Ask about your dataWhere it is stored, whether it is used to train models, and how you export it.

Frequently asked questions