---
title: "Pricing and Quotes AI agents"
section: "Agent store — Sales — processes"
canonical_url: "https://leverge.ai/agents/sales/pricing-and-quotes"
category: "Sales"
process: "Pricing and Quotes"
publisher: "Ailoitte Technologies Private Limited"
---

# Pricing and Quotes AI agents

8 production agents automating pricing and quotes within sales. Each one runs today and publishes its inputs, steps and outputs.

## Agents in this process

### Pricing Exception Remediation

URL: https://leverge.ai/agents/sales/pricing-and-quotes/pricing-exception-remediation

Upload quotes flagged as pricing exceptions and get each one explained, classified, and routed — separating genuine one-offs from a pattern nobody has fixed.

Steps: Reading the flagged quotes → Explaining and classifying each exception → Writing the remediation note.

Returns: Remediation note; Each exception; Exception types; Not a one-off.

### Pricing Policy Compliance

URL: https://leverge.ai/agents/sales/pricing-and-quotes/pricing-policy-compliance

Check a proposed price against your pricing policy — margin floors, discount authority, and the rules that apply to this customer's sector — before it is quoted.

Steps: Looking up the pricing policy → Checking against policy → Writing what to do.

Returns: Can this be quoted?; What to do; Line by line; Approvals needed; Policy applied.

### Pricing Scenario Planner

URL: https://leverge.ai/agents/sales/pricing-and-quotes/pricing-scenario-planner

Describe a deal and get three defensible pricing scenarios compared side by side, with the margin maths, the risks in each, and a recommendation.

Steps: Building the pricing scenarios → Writing the recommendation.

Returns: Recommendation; Scenarios compared; Where the value moves; Risks and approvals.

### Quote Builder

URL: https://leverge.ai/agents/sales/pricing-and-quotes/quote-builder

Describe what the customer wants and get a priced quote built from your own price book and discount policy, validated against that policy before it leaves your hands.

Steps: Looking up the price book → Building the quote → Writing the quote letter.

Returns: Policy check; Quote lines; Quote letter; Price book sections used.

### Quote Discrepancy Resolution

URL: https://leverge.ai/agents/sales/pricing-and-quotes/quote-discrepancy-resolution

Compare what was signed against what was approved and get every difference found — line by line, with the ones that change the money separated from the ones that do not.

Steps: Reading the approved quote → Reading the signed contract → Finding the discrepancies → Writing what to do about it.

Returns: Do they match?; Commercials — approved against signed; Every difference; What to do; Escalate before invoicing.

### Quote Intake Completeness

URL: https://leverge.ai/agents/sales/pricing-and-quotes/quote-intake-completeness

Check a quote request for everything needed to price it, and get the questions that close the gaps drafted for the requester.

Steps: Checking the request → Drafting the questions → Preparing the reply for approval.

Returns: Can this be priced?; What pricing needs; Questions — approve before sending; Do not price on these assumptions.

### Quote Request Qualification

URL: https://leverge.ai/agents/sales/pricing-and-quotes/quote-qualification

Paste an inbound quote request and get a go/no-go decision against your qualification rules, with what is missing listed and a reply drafted either way.

Steps: Qualifying the request → Deciding go or no-go → Preparing the reply for approval.

Returns: Decision; Against your rules; Missing before a quote can be built; Reply — approve before sending.

### Quote Status Sync

URL: https://leverge.ai/agents/sales/pricing-and-quotes/quote-status-sync

Find quotes whose status disagrees across CRM, e-signature, and finance — the signed-but-unbilled, the expired-but-open, the billed-but-unsigned.

Steps: Reading CRM status → Reading signature status → Reading finance status → Comparing status across systems → Writing the exception list.

Returns: Are the systems agreed?; Exceptions to clear today; Quote by quote; Revenue or compliance impact.

---

Source: https://leverge.ai/agents/sales/pricing-and-quotes — Leverge