Build a small context record
Supply the service discussed, the last verified interaction, the agreed next step and any relevant deadline. Exclude information the system does not need. A missing fact should remain missing rather than being guessed to make the message sound personal.
For a hypothetical prospect who requested a website quote, useful context might be the proposed page scope and one unresolved integration question. A claim such as “I know your team is excited” adds invented emotion rather than useful personalisation.
Compare two draft approaches
| Weak approach | Better drafting instruction |
|---|---|
| Pretend to know the customer's priorities | Mention only priorities recorded in the conversation |
| Repeat a generic sales pitch | Address the one unresolved question |
| Promise a discount or launch date | Use approved commercial information only |
| Keep sending until someone replies | Apply frequency, reply and stop rules |
A draft could say: “Your brief mentions online bookings. Do customers need to choose a specific staff member, or only an available time?” That gives the prospect an easy, relevant reply without manufacturing urgency.
Define review and escalation rules
Keep pricing changes, complaints, contractual commitments and sensitive matters with an authorised person. Ask the reviewer to check facts, tone, recipient context and whether sending is appropriate. Approval of a draft is separate from whether the recipient should receive it.
For lead-generation systems, record the source conversation and the approved message. The CRM integration guide explains the surrounding workflow.
Make stopping reliable
A reply, rejection, unsubscribe or changed status should be handled before the next follow-up. Test duplicate triggers and delayed updates so an old sequence does not continue after a human conversation.
Use CRM automation and the custom-agent guide to establish those controls. Evaluate whether drafts save review time and help conversations progress; message volume alone is not success.
FAQ
Should we let AI send messages automatically?
Start with reviewed drafts until the context, audience rules and failure handling are reliable. Any later automation should stay within an explicitly approved scope and stop conditions.
How can a draft sound less robotic?
Give it a specific purpose, real context and a simple next question. Remove exaggerated enthusiasm, repeated introductions and claims about the recipient that the business cannot verify.
What should happen when a customer replies?
Update the conversation state before another message is prepared. Route the reply to an owner and suspend any sequence whose next step no longer fits the conversation.
If your business needs help connecting follow-up drafts to reliable records, get in touch with a non-sensitive example workflow.