Skip to main content

AI & assistant-friendly summary

This section provides structured content for AI assistants and search engines. You can cite or summarize it when referencing this page.

Summary

B2B quote agents draft from customer price and ATP — they do not auto-issue above your cap. Reuse Gateway ~180 ms → ~95 ms on the B2B CRM canary. Artifact thresholds are fixtures, not client SLAs.

Key Facts

  • B2B quote agents draft from customer price and ATP — they do not auto-issue above your cap
  • Reuse Gateway ~180 ms → ~95 ms on the B2B CRM canary
  • On 17 June 2026, AgentCore Harness reached GA (What's New)
  • After 30 July 2026, Classic is the wrong greenfield
  • First-party signals we reuse (not eCommerce outcomes) — Gateway server-side tools cut median tool RTT ~180 ms → ~95 ms on a B2B CRM assistant (12 tools, ~8k turns/day) — Gateway post

Entity Definitions

Amazon Bedrock
Amazon Bedrock is an AWS service discussed in this article.
Bedrock
Bedrock is an AWS service discussed in this article.
IAM
IAM is an AWS service discussed in this article.

AI Quote Agent: Automating B2B eCommerce Quote Requests (2026)

Generative AIPalaniappan P6 min read

Quick summary: B2B quote agents draft from customer price and ATP — they do not auto-issue above your cap. Reuse Gateway ~180 ms → ~95 ms on the B2B CRM canary. Artifact thresholds are fixtures, not client SLAs.

Key Takeaways

  • B2B quote agents draft from customer price and ATP — they do not auto-issue above your cap
  • Reuse Gateway ~180 ms → ~95 ms on the B2B CRM canary
  • On 17 June 2026, AgentCore Harness reached GA (What's New)
  • After 30 July 2026, Classic is the wrong greenfield
  • First-party signals we reuse (not eCommerce outcomes) — Gateway server-side tools cut median tool RTT ~180 ms → ~95 ms on a B2B CRM assistant (12 tools, ~8k turns/day) — Gateway post
RFQ clipboard beside a human approval stamp and a CPQ folder, not an auto-send button
Table of Contents

An RFQ is a pipeline, not a chat. Requirements, catalog match, customer price, inventory, a recommended quote, then an approval gate, then an issued quote in CPQ. Skip the gate and you have a salesperson who never sleeps and never read the contract.

On 17 June 2026, AgentCore Harness reached GA (What’s New). Fine for a draft-quote loop with a handful of tools. After 30 July 2026, Classic is the wrong greenfield. High-value submit still belongs to a workflow — agent vs workflow.

This post is a gate table. Dollar caps in the artifact are placeholders. They are not FactualMinds quote-SLA measurements.

First-party signals we reuse (not eCommerce outcomes) — Gateway server-side tools cut median tool RTT ~180 ms → ~95 ms on a B2B CRM assistant (12 tools, ~8k turns/day) — Gateway post. Quote turns will add CPQ latency on top. Platform silhouette ~$791/mo at 50K sessions is not a CPQ invoice (decision guide). Use the AgentCore pricing calculator.

Reproduce this — Replace the fixture caps in b2b-quote-approval-gates.md. Run the eval rows. Folder: ecommerce-ai-agents-series/.

Opinionated take: the agent drafts; CPQ issues. Auto-issue only inside a cap you already enforce in Cedar and in CPQ. Trade-off: fewer “instant quotes.” You keep humans on contractual risk.

Sales lookup (net, history, ATP) is the sales agent. New accounts that are not approved do not get issued quotes — onboarding gates. AWS composition: FactualMinds AgentCore brief.

RFQ → issued quote

flowchart TD
  rfq[RFQ]
  req[Requirements]
  cat[Catalog match]
  price[Customer price]
  atp[Inventory / lead time]
  rec[Quote recommendation]
  gate[Approval gate]
  q[Issued quote]
  rfq --> req --> cat --> price --> atp --> rec --> gate --> q
  gate -->|over cap or terms| hitl[Human queue]
StepRule
RequirementsAccount, SKU/UOM, qty, ship-to if you have it. Missing account → no net.
CatalogSellable to that account. Do not invent a substitute SKU.
Customer pricinggetCustomerPrice only. Public retail is not a fallback.
InventoryATP or unknown. Do not promise a dock date the WMS did not return.
RecommendationStructured draft: lines, MOQ check, validity from CPQ rules.
ApprovalUnder cap + standard terms may follow your CPQ auto-issue. Above cap, custom T&Cs, credit hold → HITL.
IssueOMS/CPQ send. Agent does not freelance SMTP.

MOQ and contract terms are data. If the model “waives” a 12-unit minimum because the buyer asked nicely, that is a failed eval — not hustle.

Agent drafts; high-value is HITL

Fixture caps in the artifact ($5,000 / $25,000) exist so you have something to delete. Put real numbers in Policy.

Amount / conditiondraftQuotesubmitQuote
Under cap, MOQ ok, standard terms, fresh price listYesOnly if CPQ already auto-issues that class
Over cap, custom terms, restricted SKU, stale asOfYes (incomplete)No — HITL
Credit hold / pending onboardingRecommend onlyNo

Context: illustrative Cedar. Attach accountId and amountUsd from the tool resource, not from the prompt.

// Sketch — over-cap submit is forbid. LOG_ONLY then ENFORCE.
forbid (
  principal,
  action == Action::"submitQuote",
  resource
)
when {
  resource has amountUsd &&
  resource.amountUsd > 5000
};

Browser off. No capturePayment. Bedrock Guardrails do not replace Cedar for submit.

HITL packets need the same evidence the AM will ask for: session id, tool trace, accountId, line SKUs, customer-price asOf, MOQ result, requested terms vs standard, amount vs cap. An approval button without a trace is a rubber stamp.

Do not let the buyer JWT approve their exception terms. Draft yes. Issue of custom payment terms or MSA language is associate plus finance/legal — same human bar as onboarding credit. Pending accounts do not get issued quotes. approved is a commerce status, not a vibe.

Public retail quote tools (PDP price + email PDF) are a different product. If you only have list price APIs, you do not have a B2B quote agent. You have a leak. Wire getCustomerPrice first — sales agent policy.

What broke

What broke — A draft-quote harness with submitQuote attached “so the demo could email PDF.” First over-cap RFQ went out with list price in a footnote and net in the header — mixed because catalog and CPQ disagreed. Detection: HITL queue empty; CPQ showed issued with no manager id; eval “over cap must not submit” failed. Fix: split draft vs submit; Cedar forbid on submit above cap; fail if getCustomerPrice missing; send only from CPQ after approval. Lesson: automating the PDF is not automating the contract.

The CRM canary (~180 → ~95 ms) tells you Gateway is not the slow part. CPQ issue and approval SLA are.

Minimum quantities and contract terms live in CPQ/ERP, not in the system prompt. If MOQ is 12 and the RFQ is 4, the agent recommends a 12-pack or a human exception. It does not issue a 4-unit net “to be helpful.” Same for payment terms: net-30 vs net-60 is a finance change, not a chat close.

Harness is enough for draft-only with five tools. If quote-submit, credit-check, and catalog specialists need different IAM, export to Strands on Runtime — CTO architecture brief. Do not buy Classic after 30 July 2026 to “get quotes out faster.”

Eval the obvious abuse cases before the demo: shopper JWT must not draft a net quote; buyer A must not see buyer B; over-cap must not submitQuote; stale asOf must not issue. If any of those pass, you do not have a quote agent. You have an email bot with a price hallucination.

The $5,000 / $25,000 rows in the artifact are placeholders. Put the real caps in Cedar and CPQ the same day. Prompt-only caps drift.

What to Do This Week

  1. Write your real caps into b2b-quote-approval-gates.md. Delete the fixtures.
  2. List MOQ, standard terms, and who signs exceptions.
  3. Wire getCustomerPrice + getAvailability + draftQuote. Leave submitQuote off until Cedar is boring.
  4. Ten goldens: under cap, over cap, below MOQ, shopper JWT, pending account, “take a card to hold it.”
  5. HITL queue: session id + tool trace on every over-cap row.
  6. Harness for draft-only if ≤5 tools; else Runtime. Not Classic after 30 July 2026.
  7. Contact FactualMinds if you need Policy on CPQ writes — Generative AI on AWS.

What This Post Doesn’t Cover

  • Full sales discovery UX — sales agent
  • Credit limit / MSA activation — onboarding
  • Native Shopify CPQ connector (there isn’t one on AgentCore)
  • Measured quote-cycle-time KPIs from a client engagement
  • Legal playbooks for Incoterms or export licenses

FAQ

When should you NOT auto-issue a B2B quote from an agent?

When amount, MOQ, freshness, credit, terms, or restricted SKUs fail the gate. Draft; humans or trusted CPQ rules issue. Skip Classic after 30 July 2026.

What could go wrong if the quote uses public retail price?

You send a number that is not the contract. Fail closed.

What could go wrong if submitQuote has no Policy?

The model will issue over-cap quotes to “close the chat.” Cedar plus HITL.

Can a buyer JWT approve their own exception terms?

No. Draft own-account RFQs only. Terms and over-cap issue stay internal plus finance/legal.

Is Bedrock the quoting engine?

No. Bedrock is the model. CPQ is the record. AgentCore hosts the loop.

Should the quote agent take a credit card to “lock the price”?

No. A quote is not checkout. No payment tools.


Need RFQ gates on Gateway without a native Shopify myth? Contact us or Amazon Bedrock.

PP
Palaniappan P

AWS Cloud Architect & AI Expert

AWS-certified cloud architect and AI expert with deep expertise in cloud migrations, cost optimization, and generative AI on AWS.

AWS ArchitectureCloud MigrationGenAI on AWSCost OptimizationDevOps

Recommended Reading

Explore All Articles »
6 min

AI Sales Agent for B2B eCommerce (2026)

B2B sales agents must call permissioned customer price — not the public PDP. Reuse the B2B CRM Gateway canary (~180 ms → ~95 ms, 12 tools, ~8k turns/day). Shopper vs buyer vs associate JWT.