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Function: Proposal creation

AI Workflow for Pricing Approval Routing

Deployment Brief

Start with a pricing request form, discount threshold, margin impact, authority matrix, approver, timeout rule, and decision log.

Related Field Report

Quick Answer

Pricing approval routing sends discount, margin, payment-term, contract-length, or pricing exceptions to the right approver before the buyer receives a commitment. AI should identify the threshold, margin impact, approver, supporting evidence, timeout rule, and any price already promised. A person should approve discounts, margin exceptions, custom terms, strategic account pricing, and payment schedule changes.

TL;DR

Pricing approval routing should protect margin without slowing standard deals. The workflow should identify the threshold, approver, evidence, timeout, and decision log.

What is pricing approval routing?

Pricing approval routing is the process of sending non-standard pricing decisions to the right approver before the buyer receives a commitment.

Who is this workflow for?

  • Service businesses, construction companies, agencies, consultants, SaaS teams, and professional firms that create estimates, proposals, RFP responses, or SOWs.
  • Teams where commercial documents depend on notes, templates, pricing sheets, and informal approvals.
  • Operators who need faster drafting without letting automation create scope, pricing, or legal risk.
  • Owners who want customer-facing documents tied to evidence and review.

What breaks in the manual process?

The manual process usually breaks when the draft looks polished before the evidence is safe:

  • discounts are approved in chat;
  • margin impact is unclear;
  • the wrong approver is asked;
  • customer promises are hidden;
  • timeouts are not handled;
  • decisions are not logged.

The workflow should slow down at the exact points where a bad promise would be expensive.

How does the AI-enabled process work?

The workflow gathers source evidence, checks required fields, drafts the output, and flags missing evidence, unsupported claims, pricing exceptions, legal issues, scope ambiguity, and delivery risk.

AI prepares the work. The accountable owner still approves customer-facing price, scope, proof, legal terms, delivery commitments, and exceptions.

What does this look like in practice?

Example scenario: A rep requests a 20 percent discount and extended payment terms for a strategic account. The workflow checks deal context, discount level, margin impact, authority matrix, payment terms, strategic context, and customer promise. It prepares approval route, margin note, timeout status, decision log, and a flag for any price already promised.

What decision rules should govern this workflow?

  • Route pricing when discount, margin, payment term, or contract length exceeds authority.
  • Use tiered approval based on discount and margin impact.
  • Escalate strategic account exceptions and promised pricing for review.
  • Return rejected requests with a clear reason.
  • Do not send buyer-facing pricing until approval is logged.

What are the implementation steps?

1. Trigger: A rep requests a discount, custom pricing, non-standard payment terms, low-margin deal, strategic account exception, or pricing promise outside approved authority. 2. Inputs collected: pricing request and deal context, discount level and margin impact, pricing authority matrix, product or service line, payment terms and contract length, strategic account or competitive context, approver and timeout rule, customer promise and supporting evidence. 3. AI/system action: The system checks evidence, drafts the output, identifies gaps, and applies the approval rule. 4. Human review point: Sales leadership, finance, or deal desk reviews discounts, margin exceptions, custom payment terms, contract length, strategic account pricing, competitive context, and any price already promised. 5. Output generated: pricing approval request, approval route and timeout status, margin and exception note, decision log with approval, rejection, or revision, measurement event for approval cycle time, discount leakage, and pricing exception rate. 6. Follow-up or next action: The owner approves, revises, routes, blocks, sends, or logs the output based on the evidence.

Required inputs

  • pricing request and deal context.
  • discount level and margin impact.
  • pricing authority matrix.
  • product or service line.
  • payment terms and contract length.
  • strategic account or competitive context.
  • approver and timeout rule.
  • customer promise and supporting evidence.

Expected outputs

  • pricing approval request.
  • approval route and timeout status.
  • margin and exception note.
  • decision log with approval, rejection, or revision.
  • measurement event for approval cycle time, discount leakage, and pricing exception rate.

Human review point

Sales leadership, finance, or deal desk reviews discounts, margin exceptions, custom payment terms, contract length, strategic account pricing, competitive context, and any price already promised.

Risks and stop rules

Stop when required evidence is missing, the output changes price or scope, the draft makes an unsupported claim, the approval owner is unclear, or legal, delivery, margin, or customer-visible commitments need review.

Best first version

Start with a pricing request form, discount threshold, margin impact, authority matrix, approver, timeout rule, and decision log.

Advanced version

Add approval thresholds, source confidence labels, reusable answer libraries, margin rules, clause libraries, attachment tracking, and monthly exception review after the first version is reliable.

Related workflows

Measurement plan

  • Approval cycle time.
  • Discount exception rate.
  • Margin exception rate.
  • Timeout count.
  • Rejection or revision rate.
  • Customer-promise exception count.

FAQ

What is pricing approval routing?

Pricing approval routing sends discount, margin, payment-term, contract-length, or pricing exceptions to the right approver before the buyer receives a commitment.

What should AI check before routing pricing approval?

AI should check discount level, margin impact, pricing authority, service line, payment terms, strategic context, approver, timeout rule, and customer promise.

What should stay under human review?

Discounts, margin exceptions, custom payment terms, contract length, strategic pricing, competitive context, and promised pricing should stay under review.

What is the simplest first version?

Start with a pricing request form, discount threshold, margin impact, authority matrix, approver, timeout rule, and decision log.

How should pricing approval routing be measured?

Track approval cycle time, discount exceptions, margin exceptions, timeouts, rejection or revision rate, and customer-promise exceptions.