Outbound voice agent for reactivation calls, appointment confirmations, and lead qualification at scale.
Outbound calling is the highest-conversion channel SMBs almost never use, because it's expensive and reps burn out. AI voice agents (Bland.ai, Vapi outbound) can dial a list of 500 dormant leads in an afternoon, have a real conversation, and only escalate the warm ones to your human team. Call cost is roughly 1/30th of a human SDR, and the agent never has a bad day.
One objective per campaign. Examples: confirm tomorrow's appointments, reactivate clients who haven't visited in 6 months, qualify recent web form leads. Success = booking, callback agreed, or DNC tagged.
Pull from CRM. Confirm prior business relationship and TCPA-compliant consent. Scrub against your DNC list and the national registry. Skip cell numbers if you don't have express written consent.
Opening line that names the prior relationship ('Hi, this is Sara from [Practice] — I see it's been about 8 months since your last cleaning'). Branching: interested → book; not now → soft callback; not interested → polite close + DNC tag.
Auto-detect 'do not call' or 'remove me' phrases and immediately end + tag DNC. Identify as AI if asked. Respect time-of-day calling rules (8am-9pm local).
Start with 25 calls/hour. Have a human review the first 50 transcripts before scaling. Watch connect rate, conversation length, conversion %. Kill the campaign if conversion < 2%.
On a yes, the agent either books directly via tool call OR triggers an immediate Slack ping + warm transfer to a human while the lead is still hot.
Use these templates as-is or customize for your business.
Hi, is this [First Name]? Hi [First Name], this is Sara calling from [Practice Name]. I'm an AI assistant — I just wanted to give you a quick call because it's been about [X months] since your last visit and we wanted to check in. Is now a bad time?
Auto-end + tag DNC on any of: 'do not call', 'remove me', 'take me off your list', 'stop calling', 'don't want to be contacted'. Also on profanity directed at the call. Never argue or retry.
{
"name": "schedule_callback",
"parameters": {
"lead_id": "uuid",
"preferred_window": "string (e.g., 'tomorrow afternoon')",
"callback_owner": "string (rep name or 'next_available')",
"context_summary": "string (one-line summary of conversation so far)"
}
}Get a new AI workflow every week. Prompts, tool stacks, and ROI math included.
Single agent with function-calling: one LLM with a defined toolbox (CRM, calendar, knowledge base) decides which tool to invoke at each turn. Easiest to debug; appropriate for most well-scoped business workflows.
Learn the agentic glossary →Where this workflow tends to break in production — and what to put in place before you ship it.
TCPA violation from cold dialing
Mitigation: Strict consented-list enforcement; require source-of-consent timestamp in CRM.
Agent argues with DNC requests
Mitigation: Hard regex match on stop phrases — short-circuit before LLM response.
Do not deploy outbound voice AI without explicit prior business relationship and TCPA-compliant consent for the numbers being called. Heavily regulated industries (healthcare PHI, financial advice) require additional review. Do not use for cold prospecting.
A phased approach to get this workflow running and delivering ROI.
Days 1–30
Foundation
Days 31–60
Optimization
Days 61–90
Scale
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One practical AI workflow per week. No fluff.
Get the full guide with step-by-step setup, workflow templates, and copy-paste assets.