All use cases

Engage / Lifecycle

Commitment check-in

When a customer promises themselves something in the conversation, the agent remembers — and comes back the next day to ask how it went.

Close the loopTime-based triggerBehavioral triggerPushChatEmailHealth & TelehealthSubscriptionWellness (B2C apps)

What it does

Conversations end with commitments all the time: "I'll try the wind-down routine tonight," "I'll log my meals this week." Then nothing happens — the app forgets, the user drifts, and the next session starts from scratch as if the promise was never made. The agent writes the commitment into the user model the moment the conversation ends, returns at the right time to ask how it went, and folds the answer back in, so the coaching loop closes instead of going cold.

How it works

  1. 1
    Trigger. a conversation ends with a user commitment, or a conversation is dropped mid-thread before reaching a resolution.
  2. 2
    Decision. the agent extracts the commitment, writes it to the user model, and schedules a check-in for about 24 hours later; dropped threads get a rescheduled continuation at configurable longer intervals. The message passes a quality judge before it sends.
  3. 3
    Action. a short, specific push or email that picks up the exact thread — "How did the wind-down routine go last night?" — and opens straight back into the conversation.
  4. 4
    Follow-through. if the user returns on their own first, the scheduled check-in is cancelled so it never arrives stale. The answer writes back into the user model, so the next session opens on progress. Impact is measured against a holdout control group, not by message volume.
Example
AgentHey — how did the wind-down routine go last night?
CustomerStarted it, but ended up back on my phone halfway through.
AgentThat's still a real start. Tonight, try leaving the phone in another room before you begin. I'll check in tomorrow and we'll see if it sticks.

Configuration

How the agent is wired for this use case.

Triggera conversation-end event carrying a user commitment, or a dropped-thread event where a conversation stalls mid-thread before resolution.
Tools & actions
  • User model · extracts the commitment and writes it as an entry with the conversation behind it; writes the check-in answer back.
  • Scheduling / timer infrastructure · schedules the check-in ~24h out, reschedules dropped threads at longer configurable intervals, cancels on user return.
  • Messaging channel · sends the short, specific push or email that picks up the exact thread.
  • Conversation surface · opens the tap straight back into the live conversation.
Autonomythe check-in schedules and sends unattended only after a quality judge clears the message; a self-initiated user return cancels the pending send before it fires, and lift is read against a holdout control rather than message volume.
Channelspush · chat · email
Escalationnone defined — the loop is self-contained; an unanswered or stale check-in is cancelled, not handed off.

What you need

The inputs this use case runs on. Your channels stay yours; the agent supplies the judgment.

Signals

conversation-end events with the extracted commitment, dropped-thread events, and user-return events to cancel pending check-ins.

Data

the user model with commitment entries, the conversation history behind each one, channel and consent preferences.

Guardrails

judge review of every check-in before it sends, cancellation on user return, frequency caps, and a holdout group so the lift claimed is the lift measured.

Metrics it moves

  • reactivation-rateup, a personal next-day check-in brings users back into the product where a generic notification would be swiped away.
  • ltvup, closed coaching loops compound into habit and longer subscriptions, measured against the holdout.
  • open-rateup, a message grounded in what the user actually said yesterday outperforms template pushes.

Related use cases

Engage / Lifecycle

Proactive health-coach companion

the always-on coach this loop-closer plugs into

Prevent / Care

Post-resolution follow-up

the same close-the-loop motion after a support case

Onboard / Activate

In-app activation companion

next-action nudges during the first weeks

See it on your own customer journey

Bring one drop-off, one churn cliff, or one silent segment. We will show you what a proactive agent with memory and judgment does with it.

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