
Show Notes
AWS re:Invent is always buzzing with energy, but this year’s conversations feel different. AI is no longer a concept - it is a driver reshaping the way partners build, modernize, migrate, and deliver solutions for customers on AWS. Few people sit closer to this transformation than Rohan Karmarkar, Managing Director for Partner Solutions Architecture at AWS. In this episode, Rohan breaks down how partners are accelerating modernization, how AI is reducing complexity, and why co-engineering between AWS and partners is entering a new era. Modernization Is Accelerating - Not Slowing Down For years, customers approached modernization slowly, often choosing lift and shift of their old applications because deeper transformation was risky and unpredictable. According to Rohan, that era is over. “Modernization’s going to be accelerated. Partners are building those capabilities and there are many customers who are like, I don’t want to just migrate as is.” AI-enabled tools inside AWS - including AWS Transform, Kiro, and Agent Core - are changing the economics of modernization. Refactoring, testing, and code transformation are no longer entirely manual, expensive, or slow. “There are so many aspects of the modernization journey that are now going to be faster, more predictable, more secure.” This trend is creating a market-wide shift. Customers are no longer asking whether they should modernize - they are asking how fast they can do it. AI Is Not Separate from Modernization - It Drives It One of the biggest insights from Rohan is that AI sits at the center of modernization, not beside it. “AI is the driver for modernization in many cases.” While partners use AI to accelerate code migration and testing, they are also embedding AI into the very applications being modernized. The transformation becomes a loop - AI speeds up modernization, while modernization makes AI adoption possible. This is especially true for partners building new data patterns and industry-specific workflows across AWS. How Partner Solutions Architecture Works with ISVs, GSIs, and SIs Rohan leads the Partner Solution Architecture (PSA) team, one of the most technical and influential partner-facing groups inside AWS. Their responsibility is simple - work directly with partners to ensure their architectures, solutions, and integrations are optimal on AWS. “My team is responsible for making sure that partners make the right technical decisions and architectural decisions as they build solutions.” For ISVs, this means building deeper integrations and better together capabilities with AWS services. For GSIs and SIs, this means designing and delivering migration, modernization, and industry-specific offerings that align with AWS best practices. Both motions are accelerating as customers demand cloud-native, AI-embedded solutions. How AWS Connects Partners with the Field Field alignment remains one of the most critical motions for partner success, and Rohan’s team plays a central role. After partners build offerings with PSA, AWS drives awareness through account teams, ensuring customer conversations land in the right place. This leads to repeatable co-sell motions: partners innovate, PSA validates, and the AWS field scales. Co-Engineering Is Increasing Across AWS Rohan shares that AWS engineering works more closely than ever with partners. “Some of these partnerships are very deep. There is co-engineering between our engineering org and the partner engineering org.” This results in: * New service features influenced directly by partner feedback * Shared roadmap thinking * Co-built industry accelerators * Stronger interoperability between partner products and AWS services For partners, this means the opportunity to shape the platform itself. The New Excitement: Agents, Dev Tools, and Marketplace When asked what excites him most about this year’s announcements, Rohan highlighted several categories: * New AWS Marketplace innovations * Enhancements to AWS Transform * Dev toolin
More from Inside Partnering
Samrah Khan on partner specialization, faster customer outcomes, and Google Cloud’s evolving ecosystem strategy The system integrator business is undergoing a fundamental transformation. For years, the traditional model was relatively straightforward. Technology vendors sold platforms, customers selected implementation partners, and SIs delivered projects that could stretch across multiple years. AI is changing that equation. Customers want more than technology implementation. They’re looking for partners who can help define their AI strategies, identify business opportunities, develop specialized solutions, and deliver measurable results in months rather than years. In my latest Inside Partnering conversation, I welcomed back Samrah Khan, Director of Google Cloud SI/GSI Ecosystem North America, to explore how these changes are reshaping the partner ecosystem. Samrah leads Google’s SI/GSI partner relationships at a particularly interesting moment. Google Cloud’s business experienced an amazing 82% year-over-year growth in Q2! But the more interesting story isn’t the growth itself. It’s how the expectations of customers, technology providers, and partners are changing. Here are six insights from our conversation. 1. Customers Want a Unified AI Strategy, Not Another Technology Implementation One of Samrah’s clearest observations is that enterprise customers are approaching AI very differently from previous technology transitions. They’re no longer simply shopping for infrastructure or selecting a systems integrator after choosing a platform. Instead, they expect technology providers and partners to work together from the beginning, bringing a comprehensive perspective on business transformation. “Customers are looking at both the partners as well as the hyperscalers or technology providers to come in and look at the whole enterprise from A to Z.” Thanks for reading Inside Partnering! Subscribe for free to receive new posts and support my work.
For partner leaders, one of the hardest questions isn’t identifying your best-performing partners. Most organizations already know who they are. The harder question is: Who should you invest in next? That question sits at the center of my conversation with Kenneth Fox, CTO and founder of ChannelScaler. Kenneth has spent his career in channels and partnerships, and his perspective combines the technology side of partner management with the practical realities of running partner programs. Inside Partnering is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.
At Sage FUTURE in San Francisco, I sat down with Dan Miller, EVP of Financials and ERP at Sage, to talk about how Sage is thinking about AI, ecosystem partnerships, and the future of ERP platforms. One of the clearest themes from the conversation was this: finance leaders are not resisting AI. They simply want transparency, accountability, and confidence in the outputs. For partner leaders, ISVs, and ecosystem builders, that creates a very different opportunity than the generic “AI transformation” messaging dominating the market right now. Dan framed it around trust. “What finance and operations professionals really want is confidence in the tools that they’re deploying are doing exactly what they are expected to do.” That requirement shapes how Sage is building both its AI capabilities and its broader partner ecosystem. Inside Partnering is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.
This is a free preview of a paid episode. To hear more, visit insidepartnering.substack.com
At Sage FUTURES in San Francisco, Gretchen O’Hara delivered a clear message to partners: the market is shifting fast - and the opportunity is massive. But despite the noise around AI, one thing hasn’t changed. Partners are still at the center of how businesses win. “The channel is one of the most important things because our partners are the ones that have the deepest industry expertise and are closest to customers that can really solve their unique, unique business challenges.” AI may accelerate execution, but it doesn’t replace the need for domain expertise, customer proximity, and trusted advisory. In fact, it amplifies it. Inside Partnering is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.