Abhisheikh Lahoti & Jessica Rudy: Bringing Agentic AI into the Flow of Partner GTM
Inside PartneringShow Notes
At AWS Global Partner Summit last week, a clear theme emerged: the next evolution of partnerships isn’t just better programs or more incentives. It’s intelligence embedded directly into partner teams’ workflows. In this episode of Inside Partnering, I spoke with Abhisheikh Lahoti, Director, AWS Marketplace and Partner Services and Jessica Rudy, Partner Experience Leader at AWS. Jessica and Lahoti help unpack what AWS is building with Partner Central Agents - and why it has the potential to fundamentally change how partners operate, sell, and scale. The Core Problem: Fragmentation Slows Everything Down For years, partners have faced a familiar challenge: * Fragmented data across systems * Siloed expertise across teams * Manual coordination across organizations As Lahoti puts it: “If you’re working across organization boundaries… fragmented data, siloed expertise, just the manual coordination… slows things down.” The result? Slower deals. Missed opportunities. And a heavy reliance on a small group of “AWS experts” inside partner organizations. Inside Partnering is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.
From Bottlenecks to “Expertise on Demand” The shift AWS is making is simple in concept, but powerful in execution: Move intelligence from centralized teams into the hands of every seller. “Partners get guidance when they need… imagine you’re getting recommendations on when AWS will give you incentives.” Instead of relying on: * Deal desks * Partner ops teams * Internal experts Sales reps can now access: * Funding recommendations * Sales plays * Next-step guidance Directly inside their workflow. Whole Org Activation - Not Just Alliance Teams One of the most important ideas in the conversation is what Jessica calls “whole org activation.” Historically, partnerships have been concentrated in a small group: * Alliance leaders * Partner managers * Specialists Everyone else? They rely on second-hand knowledge. “People need the information at the moment that they need it… expecting everybody to absorb all of this… is a little untenable.” This leads to a predictable pattern: * Create enablement programs * Build internal processes * Add operational layers But those layers become bottlenecks. Agentic workflows change that by pushing intelligence directly to: * Field sellers * Account teams * Customer-facing roles Deal Velocity Becomes the North Star At the center of all of this is one metric: Deal velocity. AWS is using agents to compress what used to take weeks into minutes. “You’re actually showing up in front of customers in a much better prepared fashion… now this is possible in minutes.” That preparation includes: * Customer context and industry insights * Objection handling * Co-sell strategy * Validation criteria And it doesn’t stop there. From Static CRM Updates to Continuous Intelligence One of the more transformative capabilities discussed is how agents interact with live deal activity. “You just need to… upload that recording… it’ll automatically… add next steps… and you don’t need to go into the CRM again.” This represents a major shift: From manual CRM updates → to automated deal progression Instead of: * Logging notes * Updating stages * Coordinating internally The system: * Analyzes conversations * Identifies risks and blockers * Recommends next actions All in real time. Simplifying Complexity Without Losing Flexibility Funding programs are a great example of the tradeoff AWS is trying to solve: * Simplicity vs flexibility * Standardization vs innovation “We want it to be really simple, but… we don’t want to stop finding opportunities to fund a new strategic engagement.” Agents allow AWS to: * Maintain a complex, evolving system * While presenting a simple interface to partners That’s a critical unlock. The Bigger Vision: Expanding Beyond the Deal While much of the focus today is on pipeline and deal execution, the roadmap goes further: * Top-of
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