"AI agent" gets used loosely, so here are five concrete, common use cases we are actually building for startups right now.
1. First-line customer support
Answering the 60-80% of support questions that are repetitive (order status, refund policy, how a feature works) so a human only sees the cases that need judgment.
2. Lead qualification
Asking the same 4-5 qualifying questions a sales rep would ask on every inbound lead, before it reaches a human, so reps spend time on leads worth their time.
3. Internal data entry
Pulling structured data out of emails, forms, or documents and writing it into a CRM or spreadsheet without someone retyping it.
4. Approvals and notifications
Watching for a condition (a new order, a low-inventory threshold, a support ticket sitting too long) and automatically routing it to the right person.
5. Reporting
Turning raw data into a plain-language weekly summary instead of a dashboard nobody opens.
The common thread: none of these replace a whole team, they remove the repetitive part of one person's job. Our AI Agents & Automation team can map your specific process and tell you which of these (if any) is worth building first.
