Aberrant AI

Use case

Quotation and Costing Approval

Pricing logic sits in spreadsheets and approvals happen informally.

Workflow model

Normal workflow first. AI assistance only when the path breaks.

Normal workflow

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

Where the workflow breaks

A discount, cost assumption, or client requirement falls outside the defined pricing rules.

What AI prepares

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

What humans approve

Margin overrides, special pricing, and final customer quotes need approval.

What becomes a reusable rule

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

Why status quo fails

Manual coordination cannot create reliable control.

Costing logic is copied between spreadsheets.

Different team members use different assumptions.

Approvals happen without a record.

Client revisions are hard to trace.

Workflow Layer

The workflow becomes a controlled sequence.

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

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

Core features

What the system needs to do.

Costing engine

Margin visibility

Approval matrix

PDF templates

Revision history

Quote dashboard

Connected tools

Tools that can participate in the flow.

Quotation systemSpreadsheetCRMEmailAccounting system

Expected outcome

Controlled quoting without slowing the sales team.

01

Implementation

Audit quote formats

02

Implementation

Define costing and margin rules

03

Implementation

Build approval logic

04

Implementation

Validate historical quotes

Next action

Build My Quotation Engine

Tell us where this workflow currently breaks. We will map the AI assistance, approval gates, and first build path.