Voice AI in a CRM: What's Real Today

The honest version: AI is excellent after the call and useful around it — and still earning trust during it.

After the call: solved

Recording, transcription, and summarization are mature. Every recorded call can become a transcript with speaker labels and a two-line summary on the household timeline. Agents stop writing call notes; managers can review without listening to audio. If you adopt one voice-AI feature, adopt this. (Details →)

Around the call: high value, low risk

• Caller identification: inbound calls matched to households before you answer — screen-pop with context.
• Missed-call capture: a missed or dropped call triggers an apology text and a callback task automatically. (Workflow →)
• After-hours intake: an AI attendant that takes a message, answers office-hours questions, and creates a task beats voicemail nobody checks.

During the call: be careful

Fully autonomous AI agents selling insurance is where claims outrun reality. Plan advice and quoting are compliance-sensitive; misunderstanding costs real money. The defensible pattern today: AI handles intake and routing, humans handle advice, and every AI interaction is recorded and reviewable.

Questions for any vendor

1. Are summaries linked to the client record, or stranded in a separate app?
2. What happens to a call the AI can't handle — graceful handoff or dead end?
3. Are recordings retained, searchable, and exportable?