--- title: "AI Diagnose: Fix Failed Co-Sell Referrals" url: https://www.suger.io/resources/guides/ai-diagnose-cosell-failures/ canonical: https://www.suger.io/resources/guides/ai-diagnose-cosell-failures/ type: Guide description: "When AWS ACE, Azure Deal Reg, or GCP referrals fail to submit, Suger AI auto-opens with the cloud-specific reason and a one-click path to resubmit." --- # AI Diagnose: Fix Failed Co-Sell Referrals > Canonical HTML version: https://www.suger.io/resources/guides/ai-diagnose-cosell-failures/ 1. [Home](/) 2. / 3. [Resources](/resources/) 4. / 5. [Guides](/resources/guides/?category=AI%20%26%20Automation) 6. / 7. AI Diagnose: Fix Failed Co-Sell Referrals AI Guide # AI Diagnose: Fix Failed Co-Sell Referrals When AWS ACE, Azure Deal Reg, or GCP referrals fail to submit, Suger AI auto-opens with the cloud-specific reason and a one-click path to resubmit. 5 min read [Get a Demo](/schedule-demo/) [Jump to Guide](#how-the-flow-works) Works with ![AWS](/home/aws.svg)![Azure](/home/azure.svg)![Google Cloud](/home/gcp.svg) Explore AI Summary [![](/logos/company/openai.svg)](https://chat.openai.com/?q=Read%20and%20summarize%20https%3A%2F%2Fwww.suger.io%2Fresources%2Fguides%2Fai-diagnose-cosell-failures%2F%2C%20then%20cite%20the%20source.%20Focus%20on%20what%20it%20says%20about%20AI%20co-sell%20diagnosis%2C%20AWS%20ACE%20referral%20failures%2C%20Azure%20deal%20registration%20errors%2C%20co-sell%20troubleshooting. 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"Summarize with Gemini")[](https://www.perplexity.ai/search/new?q=Read%20and%20summarize%20https%3A%2F%2Fwww.suger.io%2Fresources%2Fguides%2Fai-diagnose-cosell-failures%2F%2C%20then%20cite%20the%20source.%20Focus%20on%20what%20it%20says%20about%20AI%20co-sell%20diagnosis%2C%20AWS%20ACE%20referral%20failures%2C%20Azure%20deal%20registration%20errors%2C%20co-sell%20troubleshooting. "Summarize with Perplexity") On this page - [How the flow works](#how-the-flow-works) - [Why co-sell referrals fail](#why-co-sell-referrals-fail) - [The resubmit flow](#the-resubmit-flow) - [The engagement-score pipeline](#the-engagement-score-pipeline) - [What it can’t do](#what-it-cant-do) - [Try it](#try-it) Co-sell referral submissions fail for a different set of reasons than offers — schema differences across AWS ACE, Azure Deal Registration, and GCP, opportunity enrollment gaps, customer record mismatches with the cloud’s own CRM. The Suger AI co-sell diagnose skill mirrors the offer diagnose flow: open a failed referral, get a plain-English explanation in the chat panel, click _Open Edit Dialog_ to resubmit with the fix in place. This guide covers what the skill catches per cloud, the resubmit flow, and the engagement-score pipeline that flags risky referrals before they fail. ![Suger AI chat panel auto-open on a failed AWS ACE referral, explaining a customer-record mismatch and surfacing an "Open Edit Dialog" button to re-submit](/images/guides/ai-diagnose-cosell-failures/hero.gif) * * * ## **How the flow works** When a co-sell referral’s status is `CREATE_FAILED` or `UPDATE_FAILED` with a non-empty error message array, Suger AI’s chat panel auto-opens on the referral detail page. The agent reads the error stack, matches it against the cloud-specific diagnosis skill, and returns: 1. A one-paragraph explanation of _why_ the referral was rejected. 2. The specific fields that need to change. 3. An _Open Edit Dialog_ action that opens the referral edit dialog with the corrections pre-filled, ready for resubmit. You can also open the chat manually from the _AI Diagnose_ button in the referral detail header — useful when you want to re-run the analysis after an external change (a CRM update, a customer enrollment). * * * ## **Why co-sell referrals fail** Each cloud has its own submission shape. The diagnose skill knows them: **AWS ACE** - Opportunity not enrolled — the AWS opportunity ID exists but isn’t enrolled in your partner program tier. - Customer record mismatch — the customer account in your CRM doesn’t match an AWS-side account; ACE requires a linked account. - Expected monthly revenue out of range — too high for the program tier or zero. - Stage skip — you’re trying to submit at a stage that requires earlier stages first. - Customer company name format — special characters or missing fields. **Azure Deal Registration** - Deal Reg schema mismatch — Azure’s Deal Reg API uses a different schema than offer submission; field names differ. - Solution area / industry — Azure picklists are stricter than AWS; CRM values often don’t map cleanly. - Customer tenancy — customer’s Azure AD tenant ID is required for some deal types. - Close date constraints — must be future, within a program-defined window. **GCP** - Coil eligibility — opportunity doesn’t meet GCP’s coil (Co-sell Influence) criteria. - Partner Network tier — referral type requires a tier the seller doesn’t have. - Customer GCP entity — customer’s GCP organization ID is required and was missing. For each, the AI returns the user-friendly version: not “schema validation error 4002” but “Azure rejected this because the industry picklist value ‘Healthcare & Life Sciences’ isn’t in their accepted list — try ‘Healthcare’ instead.” ![Three-up of an AWS ACE, Azure Deal Reg, and GCP referral, each showing Suger AI's diagnose chat panel with the cloud-appropriate explanation](/images/guides/ai-diagnose-cosell-failures/cloud-coverage.png) * * * ## **The resubmit flow** After the chat panel diagnoses the failure, _Open Edit Dialog_ drops you into the referral edit dialog with the proposed corrections staged. You review, adjust if needed, and click _Resubmit_. Suger handles the partner-side API call. Two things to know about this flow: - The chat panel **stays open** during the edit — useful if you want to re-ask _“is this what you meant?”_ before saving. - If the resubmit fails again, the agent re-diagnoses against the new error and updates its recommendation. You’re not stuck repeating the cycle blind. * * * ## **The engagement-score pipeline** Beyond reactive diagnosis, Suger runs an AI engagement-scoring pipeline against open referrals. Every referral gets a score (Healthy / At Risk / Stuck) based on AWS, Azure, or GCP signals — stage age, recent partner activity, customer engagement, decision date proximity. The score isn’t an AI feature inside the chat — it’s a separate background pipeline that updates referral health on the co-sell list view and dashboard. Referrals trending toward _At Risk_ surface in the Actions tab of the Co-Sell Metrics Dashboard, so you can act before they fail rather than only after. Together, the two AI features form a before-and-after pairing: engagement score warns ahead of failure, diagnose unblocks after. Most teams configure the dashboard so the Actions tab surfaces both. * * * ## **What it can’t do** The same limits that apply to [offer diagnose](/resources/guides/ai-diagnose-offer-failures/) apply here: - It can’t recover from cloud-side eventual consistency — IAM, account enrollment lag, AWS ACE backfill. - It can’t fix mismatched customer records when the customer in your CRM truly doesn’t exist on the cloud’s side — that’s an account-level setup task. - It won’t bluff fixes when the error is opaque or new; in those cases, it explains what it sees and recommends a support escalation. * * * ## **Try it** The co-sell diagnose skill is on for every Suger org with co-sell integration. The matching offer version is documented in the [offer diagnose guide](/resources/guides/ai-diagnose-offer-failures/). See the [pillar guide on Suger’s AI features](/resources/guides/suger-ai/) for the full overview, or [book a demo](/schedule-demo/) if you’d like to see it on your live referral pipeline. ## 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/)