Aberrant AI

Case study

Quotation and Costing System

Pricing logic sits in spreadsheets and approvals happen informally.

Operating problem

What keeps breaking.

Costing logic is copied between spreadsheets.

Different team members use different assumptions.

Approvals happen without a record.

Client revisions are hard to trace.

Build model

The work becomes a clearer system.

Apply costing rules, margin checks, approval routing, PDF output, and revision control.

Operating path

Costing, margin checks, approval routing, PDF output, and revisions run from one quote record.

AI/product layer

Explain the exception, compare similar approvals, and prepare a recommendation.

Reusable improvement

Approved exceptions become pricing precedents, threshold updates, or clearer approval rules.

Workflow

The sequence becomes explicit.

Client selected
Item selected
Costing applied
Margin checked
Approval routed
PDF generated
Revision tracked

Capabilities

What the system needs.

Costing engine

Margin visibility

Approval matrix

PDF templates

Revision history

Quote dashboard

Connected tools

Where the system fits.

Quotation systemSpreadsheetCRMEmailAccounting system

Implementation path

Controlled quoting without slowing the sales team.

01

Step 1

Audit quote formats

02

Step 2

Define costing and margin rules

03

Step 3

Build approval logic

04

Step 4

Validate historical quotes

Build My Quotation Engine

Tell us where this work currently breaks. We will map the first useful AI/product build path.