Five workflows that justify an AI-native CRM

Most AI CRM pilots fail because they try to replace too much. The five workflows below are where the math actually pencils out today.

1. Meeting prep dossiers#

Every scheduled call gets a dossier — attendees, company profile, prior touches, suggested talk track — written 12 hours before. Time saved: ~25 min/rep/day.

2. Pipeline interrogation#

"What's stuck in negotiation that I should worry about?" returns a table with risk scores, last-touch ages, and recommended next steps. Replaces the Tuesday pipeline review.

3. Support → engineering ticketing#

Customer Slack escalations get triaged, deduped against existing tickets, and filed in your issue tracker with linked logs. No more lost bug reports.

4. Runway & burn math#

Slot bank + card statements straight into the same chat the founders read. Get an as-of-today runway number without finance touching a spreadsheet.

5. SEO surveillance + repurposing#

Keyword rank checks across geographies, with auto-drafted repurposing briefs for movers. Replaces the part-time SEO consultant.

The pattern: pick workflows where the agent has access to the same context a human would, and a tight loop for follow-up. Skip the ones that need novel judgment.