Aberrant AI

Playbook / Sales automation

Quotation automation playbook

A practical map for turning manual quote creation into a quote engine with costing, approval, PDF output, and follow-up.

7 min readMay 2026

Operating note

Practical guidance, not generic AI commentary.

Start with quote anatomy

List every field used in the quote: client, product, service, costing basis, tax, freight, discount, validity, terms, and margin.

Mark which fields are entered, calculated, approved, copied from master data, or manually edited.

Define approval triggers

Approval logic should be based on the real business rules: margin threshold, discount level, deal size, product type, client category, or exception note.

Build the control layer

The final system should preserve quote revisions, approval comments, PDF output, client history, owner follow-ups, and dashboard visibility.

Next action

Build My Quotation Engine

If this describes your current workflow, the next step is to map the process and identify the automation path.