2026-03-29
So just on 2 weeks ago AWS released Agents in PartnerCentral, including MCP support (allowing external tools - like CRMs - to call into PartnerCentral and pull back AWS AI-generated advice about customers, opportunities, funding etc). Of course, we have had a bit of an experiment.
Up front: the CRM we’re using for these experiments is Hubspot. Hubspot has pretty advanced agent support and MCP support out of the box, so connecting it to PartnerCentral wasn’t difficult. The docs if you are that way inclined.
This Hubspot instance also contains a few hundred opportunities - ranging from historical ones through to actively progressed ones.
Here’s a few of our observations:
the PartnerCentral Agent is quite lengthy and prescriptive in its advice - if you ask for meeting preparation and sales planning support, you will be provided with an extract and replay summary of information on the ACE opportunity (good), and then quite lengthy advice about how to ‘do all the things’ to tick AWS boxes (eg get POC funding, involve AWS co-sell resources - good-bad depending) and then fairly generic advice about classic XaaS B2B sales engagements being run based on a MEDDPICC process (bad - typically untuned). If you combine that advice with more nuanced and locally adapted advice from the Hubspot Prospecting or Sales Agents, you get more relevant recommendations that are richer context aware from your local CRM.
most of the time the PartnerCentral Agent results are very AWS-seller biased, not so much partner-business aligned. That seems like a dial AWS might want to be able to tweak as a partner based on a persona or deal basis or even whole partner-ACE basis - whats the recommendation if I am a partner AE vs an AWS seller, or if I am a supervisor+ of partner AEs vs a territory manager. Again, if you treat this as input and allow Hubspot to reprocess and reweight it, sometimes you can pick up convenient linkage points.
with one partner we work with, we have done some compare/contrast work on pulling (via MCP) the recommendations that the PartnerCentral Agent makes on an ACE deal vs the recommendations that are made from a CRM-embedded context. This is more typically what a 3PI might do, but there are folks that use CRMs which are connected without a 3PI being involved, and CRMs which have “AI deal advisors”. Unsuprisingly - probably because of richer context on the partner CRM side, the advice is often different - sometimes there’s an overlap, but the PartnerCentral Agent tends towards “how to do agentic/programmatic co-sell” whereas the partner CRM tends towards “how to close the deal” - you’ll appreciate these are not the same all the time.
A few other things we noticed working with PartnerCentral Agents and reading the supporting release material:
more raw materials, what are the safeguards about the content and the arrangements for data ownership ?
MCP offers a very low barrier to integration for AI tools, but using it requires a degree of ‘trust but verify’ behaviour in terms of the responses collected from the remote system (whether AI enabled with Agents or not). In most cases, the “local” context is far richer and more current, and so MCP responses should be treated as supplementary compared to AI/Agent analysis over the source materials.
With PartnerCentral Agents via MCP the value is somewhere towards the partner side, and most likely operationalized in the CRM, not in ACE. Pull the opportunity summary/recommendations through into CRM, merge/compare with local intelligence that is not synced up, and then decide what to do.