Use case : automation
AI sales follow-up
AI sales follow-up keeps every opportunity moving: behaviour-aware sequences that respond to replies, silence and engagement, messages drafted in your voice from real context, and reps spending their attention on the conversations that need a human.
The problem
Follow-up fails by capacity, not by intent: a hundred open opportunities, one memory. Deals stall in silence, prospects who wanted 'next quarter' are forgotten by next quarter, and pipeline reviews reveal ghosts.
Systems it touches
How it works
The automated version, step by step.
- Track
- Plan
- Draft
- Send or approve
- Escalate
- 01
Track
Every open opportunity and its state tracked: replied, engaged, silent, promised-to-return.
- 02
Plan
Sequences planned per situation: value-adds for silence, timing honoured for 'call me next quarter'.
- 03
Draft
Messages drafted from the thread's actual context, in your voice, relevant to their last words.
- 04
Send or approve
Routine touches send on schedule; important ones queue for rep approval.
- 05
Escalate
Buying signals and re-engagements surface immediately to the owner.
What changes
Silence stops being the end of the pipeline: every opportunity receives persistent, relevant follow-up for as long as it deserves, and rep time concentrates on replies, not reminders.
Variations by industry
Powers outbound sequences, quote follow-ups, dormant-account revival and post-demo nurture, each with distinct cadences and approval policies.
Common questions.
Drafts are grounded in the actual thread and your voice examples, and anything consequential waits for rep approval until you trust the quality. The bar: more relevant than what a busy rep had time to write.
Sequence tools send on a timer. This reads the situation: what was said, when, by whom, and what their behaviour suggests, then drafts accordingly.
Yes: dormant-account revival is a standard play, with re-engagement messages grounded in the prior relationship rather than a cold restart.
Keep exploring
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