AI sales follow-up that remembers the deal
Good follow-up is not a generic sequence. It reflects what the buyer cares about, what was promised, the remaining objection and the agreed next step.
What context improves a follow-up?
The most relevant evidence may live across an email thread, notes, a proposal and previous conversations. A company-aware agent retrieves the offer, stakeholder concerns, timing, commercial boundaries and examples of the founder's voice before drafting.
Useful sales workflows
- Draft the next email from objections and buying signals.
- Summarize a long opportunity and identify missing information.
- Prepare a proposal cover note consistent with approved pricing.
- Surface leads that are waiting on a promised action.
- Create renewal or re-engagement drafts from account history.
Personalization should be substantive
Adding a company name to a template is not meaningful personalization. A strong draft connects the prospect's stated problem to the relevant capability and advances the actual decision. It should never invent familiarity or unsupported claims.
Approval protects commercial judgment
Pricing exceptions, guarantees and contract language require clear boundaries. Permanera's draft-first model keeps a person responsible for sending while feedback becomes future rules and approval gates.
One memory across sales and service
Sales promises become support context after conversion. Sharing company memory between sales, email and support reduces the risk of customers receiving different answers from different agents.