Voice and appointment systems / live

AI DM Appointment Setter

A social DM conversion system trained on offer, brand voice, objections, and booking rules. It handles routine conversations with approval controls and handoff rules.

Start this offer Provisioning schema Live example

Outcome

An AI setter that qualifies inbound DMs, follows up, and books sales calls.

Who buys it

Coaches, personal brands, info-product companies, and social sellers with high DM volume.

Customer receives

  • DM conversation map
  • Qualification logic
  • Brand voice training set
  • Calendar booking flow
  • Human takeover rules

Automated delivery workflow

  1. Analyze winning DM conversations.
  2. Build the qualification and objection tree.
  3. Configure delays, handoffs, and safety rules.
  4. Test with sample leads.
  5. Report booked calls, replies, and handoffs.

Modular deployment modules

  • intake-normalization
  • knowledge-base-build
  • conversation-orchestration
  • calendar-and-handoff-routing
  • call-quality-reporting

Approval gates

  • System validates every required intake answer and customer authorization.
  • System provisions only customer-owned assets, credentials, and approved claims.
  • System runs the offer acceptance checks before marking delivery live.

Fit notes

Best for: Brands already generating inbound DMs.

Not for: Low-ticket offers where sales calls do not make sense.

Source themes: YC-style outcome agency