---
title: "AI Diagnose: Fix Failed Marketplace Offers"
url: https://www.suger.io/resources/guides/ai-diagnose-offer-failures/
canonical: https://www.suger.io/resources/guides/ai-diagnose-offer-failures/
type: Guide
description: "When an AWS, Azure, GCP, or Snowflake offer fails to create, Suger AI auto-opens with a specific diagnosis and a one-click path to the fixed form."
---

# AI Diagnose: Fix Failed Marketplace Offers

> Canonical HTML version: https://www.suger.io/resources/guides/ai-diagnose-offer-failures/

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AI Guide

# AI Diagnose: Fix Failed Marketplace Offers

When an AWS, Azure, GCP, or Snowflake offer fails to create, Suger AI auto-opens with a specific diagnosis and a one-click path to the fixed form.

6 min read

[Get a Demo](/schedule-demo/) [Jump to Guide](#how-the-diagnose-flow-works)

Works with

![AWS](/home/aws.svg)![Azure](/home/azure.svg)![Google Cloud](/home/gcp.svg)

Explore AI Summary

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On this page

-   [How the diagnose flow works](#how-the-diagnose-flow-works)
-   [What it actually knows (AWS)](#what-it-actually-knows-aws)
-   [Cloud coverage](#cloud-coverage)
-   [Where it stops](#where-it-stops)
-   [Try it](#try-it)

A private offer that fails to create on AWS, Azure, GCP, or Snowflake used to mean copying a cryptic error message into a Slack thread and waiting for the partnership manager to translate it. Suger AI’s offer diagnose skill replaces that loop. The moment you open a failed offer, the chat panel opens with the specific reason, the specific fix, and a button to edit the draft with the correction already staged.

This guide covers what the diagnose skill knows, what it covers per cloud, and where it tops out.

![Suger AI chat panel auto-open on a failed offer detail page, diagnosing an AWS dimension key error, with an "Edit Draft" button ready to navigate the user to the corrected form](/images/guides/ai-diagnose-offer-failures/hero.gif)

* * *

## **How the diagnose flow works**

When an offer’s status is `CREATE_FAILED` and the error message array is non-empty, Suger AI auto-opens with the failure context already loaded. You don’t click anything to start the diagnosis — it’s there when you open the detail page.

The agent:

1.  Reads the offer’s error message stack and form data.
2.  Matches the errors against a per-cloud diagnostic skill that knows the actual rules each marketplace enforces.
3.  Returns a plain-English explanation of _why_ it failed and _what to change_.
4.  Surfaces an _Edit Draft_ button that navigates you to the offer creation form with the proposed fix pre-staged.

If you’d rather trigger it manually — or re-trigger after editing — there’s also an _AI Diagnose_ button in the offer detail header.

![Animated trigger flow on a failed Snowflake offer — closing the auto-opened AI panel, then clicking the sparkle icon in the top toolbar to re-open it; the panel slides back in with the same diagnosis](/images/guides/ai-diagnose-offer-failures/manual-trigger.gif)

* * *

## **What it actually knows (AWS)**

The AWS diagnostic skill covers sixteen distinct failure categories. Each category maps to a specific marketplace rule and a specific fix:

Category

Failure example

What changes

Buyer account format

AWS account ID has 11 digits or includes hyphens

Strip non-digits; pad to 12

Dimension key regex

`data-units` fails AWS’s `^[a-zA-Z][a-zA-Z0-9_]*$`

Replace hyphens with underscores

Dimension key collision

Two dimensions share the same key

Rename one of them

EULA validation

Standard Contract for AWS Marketplace edits

Restore standard EULA or upload custom

CPPO resale IAM

Missing `AWSServiceRoleForMarketplaceResaleAuthorization`

Provision the service-linked role

Contract duration

0 months or > 60 months

Clamp to AWS allowed range

Buyer account count

More than 24 buyer accounts on one offer

Split into multiple offers

Commit cap

More than 100 commits on one offer

Restructure pricing

Payment schedule

Dates outside contract window

Realign payment dates

Agreement base

CPPO created against the wrong base

Recreate from the right agreement

Currency mismatch

Offer currency ≠ product currency

Match to product

Date format

ISO dates malformed

Reformat

Required fields

Missing customer email or company

Fill missing fields

Free trial conflict

Free trial enabled on incompatible product

Disable or change product

Reseller config

Reseller fields missing for resale type

Add reseller details

Generic AWS error

Unmapped AWS-side error

Suggest opening a support ticket

The first eleven are “fixable by editing” — the AI’s recommendation goes into the draft via the _Edit Draft_ navigation. The last few are external: IAM permission propagation, ticket-required AWS-side issues. The agent will tell you when it can’t fix something, so you don’t spend time editing forms that won’t help.

![Annotated grid of the sixteen AWS failure categories grouped by "fixable by editing" versus "external" — each tile shows the trigger error pattern and the corresponding AI-recommended fix](/images/guides/ai-diagnose-offer-failures/failure-categories.png)

* * *

## **Cloud coverage**

The same skill exists for each major cloud, with cloud-specific rules baked in:

-   **AWS** — sixteen categories as above.
-   **Azure** — schema version handling (V1, V2, V3 plans behave differently), plan field shape (`plan` vs `basePlan`), absolute-vs-percentage discounts, flexible billing dates that must be unique.
-   **GCP** — partner-specific contract structure, pricing model validation.
-   **Snowflake** — listing constraints, ARR commit rules.

![Animated transition between a failed Snowflake offer and a failed Azure offer — each one auto-opens the AI panel with a cloud-specific diagnosis: Snowflake explains a Data Exchange listing type mismatch, Azure flags an external 401 from the product ingestion API](/images/guides/ai-diagnose-offer-failures/multi-cloud.gif)

A single mental model — _failed offer → open detail → read AI explanation → click Edit Draft_ — works across all four. No retraining per cloud.

* * *

## **Where it stops**

The diagnose skill is sharp on errors that come from validation rules and form data. It’s less helpful on:

-   **Transient AWS / Azure / GCP failures** — service hiccups, eventual consistency on IAM role propagation. The agent will flag these as “wait and retry” rather than recommending edits.
-   **Account-level issues** — your seller account isn’t enabled for a feature, your buyer isn’t enrolled in a program. These need to be resolved at the cloud’s admin console, not in Suger.
-   **Custom contract terms** — if you’re using a heavily customized EULA, the AI may not have visibility into what AWS will accept. It will flag the area and recommend a manual review.

In every “external” case, the chat panel says so explicitly — the agent doesn’t bluff fixes it can’t deliver.

* * *

## **Try it**

Suger AI’s diagnose skill is on by default for every customer. Open any failed offer in the Console and the chat opens with the diagnosis. The matching co-sell version — for failed AWS ACE, Azure Deal Reg, and GCP referrals — is documented in the [co-sell diagnose guide](/resources/guides/ai-diagnose-cosell-failures/).

For the full picture of Suger AI, see the [pillar guide](/resources/guides/suger-ai/) and the [introductory blog](/resources/blog/meet-suger-ai-the-in-product-copilot/).

## Ready to see Suger AI on your own pipeline?

Book a 30-minute walkthrough — we'll run the AI features above against your real ACE, offer, and CRM data.

[Get a Demo](/schedule-demo/) [Talk to Sales](/contact-us/)
