Almost every CRM now advertises AI. The useful question is not whether it has AI, but which specific tasks it removes from your team’s day and what happens when the model is wrong. Below are the capabilities that work today and the ones that still need a human in the loop.
What works reliably
- Call and meeting summaries: transcription plus structured notes, saved to the record
- Email drafting: first-draft follow-ups based on the thread
- Data entry from email: extracting contact details and intent from inbound messages
- Lead scoring: ranking by fit and behaviour, provided the training data is your own
- Search across records: natural-language questions over CRM data
What is still unreliable
Forecasting that claims precision from thin data, autonomous outreach that writes and sends without review, and “next best action” recommendations that ignore commercial context. These fail quietly: the output looks plausible, so nobody checks it until a deal is lost.
Cost of AI features
| Packaging | Typical price | Notes |
|---|---|---|
| Included in higher tier | Plan upgrade | Cheapest path if you already need the tier |
| Per-seat AI add-on | $20–$60/user/month | Common for call summaries and drafting |
| Consumption-based | Per credit or token | Forecast harder; usage spikes with recording |
Governance questions
- Where does the transcript data live, and for how long?
- Can you turn recording off per region or per team?
- Who reviews AI-generated notes before they become the record?
- What is the fallback when the model mislabels a call?
A sane adoption path
Start with summaries and drafting, measured against a control group of users without them. If the time saved is real, extend to data extraction. Leave autonomous actions until you have enough clean history to evaluate accuracy, and keep a human approval step on anything customer-facing.
FAQ
Does AI CRM improve win rates?
It improves admin efficiency more reliably than win rates. Gains in win rate depend on whether your team acts on the summaries and scores, which is a process change, not a software feature.
Is call recording legal everywhere?
No. Consent rules differ by jurisdiction; several US states and the EU require notice or explicit consent. Check before enabling recording for all users.
Will AI replace data entry entirely?
Not yet. It reduces typing for structured fields and summaries, but exceptions and ambiguous emails still need a person.
How do we measure whether it is worth it?
Track hours per rep per week on admin, time to first response, and note completeness. If none move after 60 days, the feature is not being used.