AI Agent RFP Template for eCommerce (2026)

On 25 September 2026 an eCommerce AI-agent RFP still fails in a familiar way: it asks for “agentic transformation” and gets a slide. This is a document you can send. It assumes one workflow.

Who this is for. A COO, eCommerce leader, or CTO writing the ask. Procurement can attach it. Engineers can answer it.

Our take: the award criterion is whether the bidder will omit refund, price, and inventory writes. A proposal that includes them “for phase two” inside the same tool schema has already failed.

The fill-in file is ai-agent-rfp-template-ecommerce.md. It is a template, not a scored matrix and not a client story.

What to attach before you send it

1. The workflow name and the system of record.
2. Your readiness score if you have one. Under 16 out of 30, the honest outcome is “do not award a write.”
3. Ten sample lookups and three cases that must escalate, with personal data stripped. If you cannot produce them, you are not ready to evaluate a response.
4. The vendor checklist as the scoring sheet. Do not invent a second rubric.

The 14 sections

Use these headings so answers line up.

1. Company context. Stores, regions, platforms, named owners. Volume only under NDA.
2. Business objectives. The job in operations language. Out-of-scope list is mandatory.
3. Use cases. Trigger, reads, writes, human approval, escalate-when. Week-one default is reads.
4. Required integrations. API names and versions. Shopify Admin, Adobe Commerce REST, BigCommerce, or a custom OMS — whichever you actually run. Sandbox owner named.
5. Security and compliance. Field-level data allow and deny. Where inference runs. Prompt text is not authorization.
6. Model requirements. Region, swap path, eval set. Do not mandate a brand of model in the RFP.
7. Evaluation. Pass bar written by you, before demos.
8. Observability. Exportable trace: tools, policy, latency, cost.
9. Implementation. Separate agent credentials. Timeout means stop, not guess. Idempotency on any later write.
10. SLA and support. What they run after go-live, and what you run.
11. Pricing. Split lines. Point bidders at the method in what it costs. The July 2026 reference — about $791 per month at 50,000 sessions for platform plus a small model — is a floor they must reconcile, not a target to underbid with a narrower definition of “session.”
12. Ownership. You keep schemas, policy, eval data, and IaC. Training on your orders defaults to no.
13. Acceptance. Record-backed answers, forbidden tools absent, golden set passed, denied-write trace, a person on money movement, a run-cost worksheet.
14. Response format. Short page caps so you can compare three bids in an afternoon.

Acceptance, in one paragraph

Accept the pilot only when a reviewer can open the order the agent cited, the refund tool is not in the schema, the golden set meets the bar you wrote, and you can export a trace. A stakeholder call where the bot “sounded good” is not acceptance.

What bidders will try

What broke — An RFP asked for “autonomous resolution rate” as the award metric. Every bid invented a percentage. None of them had the ticket sample. Detection: the percentages had no denominator. Fix: replace the metric with the golden-set bar and delete autonomous resolution from the score. Lesson: if you ask for a number nobody can measure yet, you will receive fiction. This site will not supply a replacement percentage. There is no published agent case study to copy.

Also reject:

• A single per-conversation price.
• “We are an AWS Agentic AI Competency” unless you can see the badge. Specialization is not a competency designation. FactualMinds is an AWS Select Tier Services Partner pursuing that category, not holding the badge.
• Phase-two write tools compiled into the week-one binary.

If you only do one thing

Put the deny-list in section 5 and the pass bar in section 7 before you email anyone. Those two blocks change the bids. The rest is context.

What to do this week

1. Download the template.
2. Fill sections 2, 5, 7, and 13 yourself. Leave 11 blank so bidders show their worksheet.
3. Sequence the year in the roadmap. A 90-day sketch there is illustrative, not a clause you should paste as a promise.
4. Decide build, buy, or partner-build with that comparison.
5. Talk to FactualMinds about the AI-agent opportunity if you want the same template turned into a scoped first workflow from one of the AI agent families we build — including a recommendation not to build.

What this post doesn’t cover

• Legal terms, liability caps, or insurance. Counsel owns those.
• A completed sample with a fictional retailer. Filling it with invented order volumes would look like a case.
• Inbound shopping protocols. Use ACP vs UCP if the RFP is “be buyable by ChatGPT or Gemini,” which is a different engagement: agentic commerce readiness.

Frequently asked questions