Recover existing demand
Create new conversations from data your business already paid to acquire.
PIPELINE RECOVERY
Turn dormant pipeline into active conversations.
Re-engage aged leads, closed-lost opportunities, no-shows, and former customers with coordinated AI conversations built around your data.
Reactivation AIWORKFLOW
01
Define the audienceSelect the records, exclusions, and success criteria.
↓02
Prepare the campaignBuild messaging, channel rules, guardrails, and QA scenarios.
↓03
Run conversationsAgents engage, answer, classify, and follow up according to response.
↓04
Return revenue signalsAppointments and qualified opportunities flow back to the correct owner.
Human handoff readyCONNECTED
Protect team focus
Let your team work the opportunities that respond instead of manually chasing entire lists.
Preserve attribution
Track the source segment, conversation outcome, appointment, and handoff in your CRM.
OVERVIEW
What is Reactivation AI?
Reactivation AI identifies the segments worth revisiting and runs controlled outreach across voice, SMS, and email. Each conversation uses the context already inside your CRM, updates the record, and moves qualified opportunities back into your team’s active pipeline.
CAPABILITIES
Everything required to make the workflow operational.
The agent is only one part. AutoLab builds the data, decisions, actions, controls, and visibility around it.
CRM segmentation
Build audiences from age, lifecycle stage, source, service, value, and prior activity.
Context-aware messaging
Reference relevant history without exposing sensitive or unnecessary information.
Multi-channel cadence
Coordinate voice, SMS, and email based on response and consent.
Intent classification
Separate interest, objections, wrong timing, opt-outs, and invalid records.
Booking and routing
Create the right next step based on availability and qualification.
Campaign reporting
See outcomes by list, segment, channel, message, and disposition.
HOW IT WORKS
From operational map to working system.
Every stage has a clear output, owner, and launch gate.
Define the audience
Select the records, exclusions, and success criteria.
Prepare the campaign
Build messaging, channel rules, guardrails, and QA scenarios.
Run conversations
Agents engage, answer, classify, and follow up according to response.
Return revenue signals
Appointments and qualified opportunities flow back to the correct owner.
Typical implementation target30–45 days from kickoff to production readiness, depending on scope and access.
INTEGRATIONS
Discuss your stack Connected to the systems that hold the context.
Every implementation starts with a system map and a deliberate source of truth.
HubSpotSalesforceGoHighLevelZohoPipedriveCloseTwilioSendGridCalendlyChili Piper
COMMON QUESTIONS
Reactivation AI, without the black box.
Scope, controls, and ownership are made explicit before implementation begins.
How is this different from an email blast?
The system coordinates conversations across channels, reacts to replies, uses CRM context, classifies outcomes, and can complete the next step instead of simply sending a fixed sequence.
How do you decide which records to contact?
We work with you to define eligibility, exclusions, consent requirements, timing, value, and operational capacity before a campaign launches.
Does it update the CRM?
Yes. Contact outcomes, notes, dispositions, follow-up requirements, and booked appointments can be written back to the source record.
How is campaign quality controlled?
Campaigns go through message review, scenario testing, exclusion checks, launch limits, monitoring, and a defined human escalation path.
A PRACTICAL FIRST STEP
See Reactivation AI inside your workflow.
Bring your current process, tools, and goals. We’ll map a practical implementation path together.
Schedule a consultation 30 minutes · Practical next steps · No obligation