Follow-up and reactivation
Keep the next conversation connected to the last one.
Leacall can continue defined customer workflows using prior outcomes, timing, and next-step conditions instead of sending the same reminder to everyone.
- Day 0Initial conversationTiming captured
- Day 7Contextual follow-upAsked to wait
- TodayBudget review completeAgent calling now
- NextRoute by outcomeBook or close
The operational problem
Most follow-up loses the reason to follow up.
Generic sequences ignore what the customer said, why the conversation paused, and what should happen when they re-engage. Relevant follow-up starts with the last known state.
Example sequence
A defined path from trigger to next step.
Start from the last outcome
Use the disposition, timing, and promised next step as workflow context.
Trigger the follow-up
Begin on an approved schedule or customer event rather than an arbitrary blast.
Continue the conversation
Acknowledge what happened before and gather any changed information.
Update the state
Move forward, reschedule, pause, close, or involve a person with the current context.
A strong fit when
The workflow is repeatable and the outcome is clear.
- Large follow-up queues
- Known reasons and timing for re-contact
- Stalled or dormant conversations
- Manual reminders do not preserve context
Keep people in the loop
Define the boundaries before the agent goes live.
- Contact rules and opt-outs must be explicit
- Sensitive relationships need human ownership
- Unclear reasons for re-contact
- Escalations without a receiving team
Questions to resolve
Scope the workflow, systems, and human handoffs.
What happens when the agent cannot complete the conversation?
The workflow should define when to retry, route, stop, or hand off. The person receiving the handoff should get the relevant context instead of starting the conversation again.
Can this connect to our existing systems?
Connections and actions depend on the system, permissions, and workflow. The demo maps the required inputs and outputs, then Leacall confirms what is supported or needs custom implementation.
How do we control what the agent can do?
The workflow defines its goals, information sources, action boundaries, escalation criteria, and ownership. High-risk or exceptional decisions should stay with a person.
Plan the right scope
Pricing follows workflow complexity and operating requirements.
How pricing worksMap your follow-up workflow.
Show us where conversations slow down, context gets lost, or the next step waits on manual work. We’ll map where an AI agent can help, and where a person should stay in control.