Emerging

Sales AI Agent

Why do AI copilots create insight but not booked meetings?

💡TL;DR

A Sales AI Agent is the doer, not just the scribe. It handles repetitive outreach, meeting booking, and follow-ups, escalating to humans for edge cases. For SMBs, it extends coverage to off-hours and low-priority leads without adding headcount.

Definition

An autonomous or semi-autonomous agent that executes sales tasks—responding to inbound, booking meetings, drafting replies—within guardrails, not just suggesting actions.

🏢What This Means for SMB Teams

Small teams miss nights/weekends. An agent keeps pipeline warm 24/7 while humans focus on live calls.

📋Practical Example

エージェントがインバウンドメールに2分で返信し、カレンダー3枠を提示。未返信ならSMSでリマインド、返信が来たらAEに引き継ぎ。夜間リードのミーティング設定率が7%→26%、全体の応答時間中央値が58分→6分に。

🔧Implementation Steps

  1. 1

    Define guardrails: tone, offer limits, escalation rules.

  2. 2

    Start with low-risk flows (demo scheduling, FAQ replies) before outbound prospecting.

  3. 3

    Instrument human-in-the-loop for intent/risk flags.

  4. 4

    Measure booking rate, CSAT, and error rate weekly.

Frequently Asked Questions

Will it go off-script?

Use constrained generation, approved templates, and confidence thresholds that route low-confidence cases to humans.

How to keep compliance?

Pre-approve phrases, log every message, and run periodic red-team tests against policy.

How Optifai Uses This

Sales AI Agent handles inbound triage, booking, and low-risk follow-ups within defined guardrails.

Autonomous Action Engine

Experience Revenue Action in Practice

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