Earlier this month, AWS changed parts of its partner strategy to focus on a growing customer need - proving that AI investments are delivering real business results after deployment.
Julia Chen, vice president of partner core at AWS, told ChannelE2E that the customers are moving beyond deployment milestones and asking partners to prove what changed for the business. That shift is driving new AWS programs, competencies, and incentives aimed at helping partners measure AI impact, reach buyers through AWS Marketplace, and build recurring managed services revenue around agentic AI.
AWS puts customer outcomes at the center
A big piece of that strategy is
AWS Business Value Realization, or BVR, a partner motion designed to help partners track business outcomes after go-live. AWS said BVR gives partners playbooks, benchmarks, outcome-based funding, and support tied to customer-attested milestones. Partners that show they can help customers meet agreed-upon KPIs can also earn the
AWS BVR Competency, a new AWS Specialization.
Chen said AWS designed BVR around customer validation, rather than project completion.
“We designed BVR around a simple principle: the most credible signal of success is the customer’s own voice,” Chen said. “Milestones are only unlocked when the customer confirms they hit their target KPIs, not when the partner launches a project or deal. That’s the accountability mechanism, and it’s how AWS puts a real stake in the ground on what outcome delivery means.”
AWS is also giving partners a
BVR Toolkit with industry-specific benchmarks, business case models, and templates. The goal is to help partners and customers define success before deployment, instead of trying to measure value after the project is already live.
AI spending is facing more scrutiny from finance and business leaders.
AWS’s 2026 Market Study found that 80% of customers are moving toward outcome-based commercial models, according to Chen. For partners, that changes the value conversation. Pipeline and deployment volume still matter, but AWS is pushing more attention toward what happens after go-live.
“Yes, it’s a real shift, and it’s one our partners were already seeing from their customers before we announced BVR,” Chen said. “Partners who are pulling ahead have stopped treating deployment as the finish line and instead measure their own success by tangible changes within their customers’ business. BVR formalizes that: funding ties to customer outcomes, not delivery milestones.”
Accountability moves earlier in the project
The model also changes how partners think about accountability when an AI project misses its target. Chen said BVR is designed to surface risks during the engagement, not after it ends.
“Missing a KPI isn’t automatically a failure; it’s information,” Chen said. “The structured stages in BVR show adoption risks and drop-off points in real time, so partners and customers can course-correct before the engagement ends, not after.”
AWS provides the benchmarks, funding framework, and agentic tools in Partner Central. Partners bring the delivery methodology and customer relationship. Customers attest to the outcomes. That creates a more shared model, but it also puts pressure on partners to stay involved after deployment and prove whether the work is delivering value.
Marketplace becomes part of the AI sales motion
AWS is also tying the partner strategy more closely to Marketplace. New AWS Marketplace capabilities include Agent Mode, a conversational software procurement experience, and AWS Marketplace Storefront, which lets partners create branded procurement experiences connected to AWS Marketplace. AWS also highlighted express private offers, multi-product solutions, and variable payments as ways to reduce deal friction and support more flexible buying models.
For consulting partners, AWS said the listing fee is dropping from 2.5% to 0.5%, which could make Marketplace a more practical route for services-led deals and smaller transactions. That is important for partners trying to package AI services, managed services, and advisory work in a way that customers can buy more easily.
AI agents enter the co-sell process
Co-sell is getting an AI update as well. AWS said every opportunity submitted in AWS Partner Central will now receive data-driven insights and support. An agent qualifies opportunities when they arrive and routes them toward the right sales motion, including AWS field engagement, agent-qualified deal progression, or partner-led execution. AWS is also adding lead enrichment, propensity insights, and AI-generated sales messaging.
For managed services partners, AWS is positioning agentic AI as a recurring revenue opportunity. The company announced a unified agentic AI package for MSP Program partners, including trials for Amazon Q, Amazon Kiro, AWS Transform, Security Agent, DevOps Agent, and FinOps Agent. AWS also said it is adding multi-customer management capabilities in AWS Partner Central and training Forward Deployed Engineers to help move customer AI use cases into production.
MSPs get a bigger post-deployment role
Chen said partners should be building more outcome-based pricing, managed services packages, and post-deployment advisory services around BVR.
“Customers already pay up to
a 20% premium for partners with proven outcome-delivery capabilities like value mapping, change management, and outcome tracking,” Chen said. “This premium exists because those capabilities are rare and because customers know that deploying AI is the easy part.”
She added that the commercial opportunity is strongest when partners stay close to the customer after launch.
“The partners I’m most excited about are the ones building commercial models where staying close to the customer after launch is the most profitable part of the engagement,” Chen said. “We’re investing in that directly: agentic AI packages for MSPs, MSP-specific incentives, and the infrastructure in Partner Central to manage customer success at scale.”
For smaller MSPs and regional service providers, the shift could raise a practical concern: proving outcomes takes time, process, and documentation. AWS is trying to address that by tying funding to customer outcome milestones and giving partners more tooling to manage the work.
“The concern is one we took seriously in how we designed BVR,” Chen said. “Asking partners to prove outcomes without resourcing them to do it would be setting them up to fail.”
Partners that achieve the BVR Competency will receive $50,000 in Marketing Development Funds in 2026 and 2027, according to Chen. AWS is also using
Partner Central agents to automate milestone tracking and surface adoption risks in weekly reports.
“The goal was to make the work of proving outcomes less work, not more,” Chen said. “And we have more agents coming.”
As customers evaluate AI spend closely, partners will need stronger proof points, clearer KPIs, and more repeatable offerings. AWS is using its partner program, Marketplace, and co-sell engine to push partners in that direction, and also giving customers more ways to buy AI services tied to measurable outcomes.
