FOLLOW-UP AGENTS NEXT TO THE TEAM
ClawRevOps follow-up agents live inside the CRM next to the sales team. They read tags, stages, calendars, and past emails, SMS, and calls, then keep the pipeline honest and the next action queued.
The work this agent takes off the team
From the call to live work
The agent reads the same tags, stages, calendars, and conversation history the sales team already uses.
Appointment outcomes get recorded, including no-shows and cancels, so the pipeline stops depending on memory.
Missed follow-ups, rebooks, and SOP actions are queued on a daily, weekly, and monthly rhythm.
Live work waits on approved dry-run lists, honors client exclusion, and respects Do Not Disturb.
What the agent will not ignore
One client. Not a blended average.
One home-services client ran the reactivation and follow-up agent. Week 1 produced 1 booking. Week 3 produced 5 bookings from 25 touches, 10 replies, and a 40% reply rate. This is a single small sample, not an average and not a cold-email result.
Follow-Up Agents questions
What can the follow-up agent see in the CRM?+
The follow-up agent reads tags, stages, calendars, and past emails, SMS, and calls. It sits next to the sales team so the next action is based on the record, not a separate spreadsheet.
How are no-shows and canceled appointments handled?+
The agent marks the appointment outcome, then rebooks no-shows and cancels. The stage does not stay "scheduled" after the meeting failed to happen.
What guardrails limit queued follow-up actions?+
Queued daily, weekly, and monthly actions run on your SOPs only after approved dry-run lists. Client exclusion is applied, and Do Not Disturb is respected before anyone is contacted.
Where did the week-3 booking numbers come from?+
From one home-services client using the reactivation and follow-up agent. Week 3 was 25 touches, 10 replies, 5 booked, a 40% reply rate, up from 1 booking in week 1. One small sample.
Book a call about Follow-Up Agents
Thirty minutes. We learn the pipeline, say so if the agent is a poor fit, and map the first deployment only when it is a fit.
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