FY27 is the year to execute on AI. For Azure partners, that means moving more customer AI initiatives into production, modernizing the cloud, data, application, security, and governance foundations they depend on, and connecting those investments to outcomes customers can measure.
Across the partner ecosystem, you are starting from different places. Some partners are already scaling AI solutions in production. Others are modernizing legacy environments, unifying data, or strengthening security and governance so customers are ready for what comes next. The opportunity is to understand where each customer is today and create a practical path forward.
Microsoft has aligned FY27 customer conversations, go-to-market guidance, incentives, skilling, and partner resources around that goal. The focus is less on starting with a product and more on starting with what the customer is trying to achieve.
In July, MCAPS Start for Partners and the Microsoft Partner FY27 GTM Kickoff laid out that direction. If you missed the events or want to revisit a specific topic, the content is available on demand:
The more important question now is what you do with that guidance.
Turn customer priorities into Core and Frontier conversations
Customers rarely begin by asking for a portfolio of technologies. They begin with a challenge, an ambition, or an outcome: modernize an aging application, make fragmented data useful, strengthen security, improve employee productivity, automate a process, or create a new customer experience.
That is the starting point for FY27. Core conversations establish the foundation customers need to become AI-ready. Depending on the customer, that can mean modernizing infrastructure and applications, bringing data together on a governed platform, improving security, or establishing the controls required to operate AI with confidence.
Frontier conversations build on that foundation. They focus on bringing AI and agents into the flow of work, applying organizational data and context to new experiences, and redesigning processes around measurable business outcomes.
These conversations are connected. A customer with a strong AI ambition may discover that fragmented data, legacy applications, or governance gaps need to be addressed first. A modernization engagement can reveal valuable AI scenarios that were previously out of reach.
The goal is not to force every customer through the same sequence. It is to identify what is holding the customer back today and what the next valuable step can unlock.
For small and medium-sized business (SMB) customers, that same principle should stay practical: modernize the data and systems that matter most, then use AI where it can create a clear business advantage without adding unnecessary complexity.
You can explore the complete Core and Frontier conversation framework to identify the conversation most relevant to the customers you serve.
See what execution looks like in practice
The connection between Core and Frontier is already visible in customer engagements across industries.
Copeland used a necessary infrastructure transition as an opportunity to modernize. Working with Microsoft partner R Systems, the manufacturing company moved and modernized its Connect+ platform on Azure, introducing automation and a more scalable cloud operating model. Customer onboarding went from weeks to hours; release cadence increased from twice a year to roughly monthly, and Copeland reported a 20% reduction in cloud spend from the migration. That modern foundation is now creating room for the company to explore AI capabilities on top of the platform. Read the Copeland story.
Riddell shows what can happen when data becomes available in the flow of work. Working with Microsoft partner Saxon AI, Riddell built an AI-powered sales assistant on Azure using Microsoft Fabric, Azure Data Lake, and Microsoft Semantic Kernel. Sales representatives can query SAP data using natural language in Microsoft Teams, giving them access to pricing, delivery, and order information while they are with customers. Riddell reports that 73% of its sales representatives use the assistant at least once or twice a week and that the solution saves more than 21,000 hours annually across the organization. Read the Riddell story.
Aiforia demonstrates the same progression in a highly regulated environment. The Microsoft partner is using Azure to deliver AI-assisted digital pathology for University Hospital Southampton NHS Foundation Trust. Azure provides the storage, compute, security, and regional hosting foundation required for high-resolution pathology data, while Aiforia's AI supports lung cancer analysis with clinicians remaining in the decision-making process. It is a strong example of infrastructure, governance, and specialized AI coming together around a specific healthcare outcome. Read the Aiforia story.
Different industries, different starting points, but the pattern is consistent: establish the capabilities the customer needs now, then build toward the next outcome.
Build from one opportunity into the next
That progression is important for your Azure practice too. A modernization engagement can create opportunities around data, security, managed services, and AI. An AI opportunity can surface the need for modernization or stronger governance. Once a solution is in production, adoption, optimization, security, and ongoing operations can become the next conversation.
The key is to stay connected to the customer outcome rather than treating each engagement as an isolated project.
Frontier Accelerate gives you a practical way to act on the opportunity you identify. For FY27, Microsoft has brought together expertise, investments, and skilling designed to move customer priorities from planning toward production.
Start with the conversation you have chosen. Then use Frontier Accelerate to identify the relevant assessments and expertise, available investments or savings opportunities, and skilling resources that can move that specific customer engagement forward. For Azure scenarios, these resources can include planning and assessment tools, specialized partner and Microsoft expertise, Cloud Accelerate Factory, and technical skilling.
Offers, incentives, funding, and other resources are subject to eligibility, availability, and applicable program terms. Review the current guidance for the opportunity you are pursuing before building it into your customer plan.
Take one concrete step this week
Choose one active customer opportunity.
Start with the outcome that customer is trying to achieve. Identify the Core or Frontier conversation that can move it forward, then use the FY27 guidance and relevant Frontier Accelerate resources to determine the next action.
That might reveal a modernization need before an AI deployment. It might show that a strong data foundation is ready for an agent scenario. Or it might uncover the next opportunity to optimize and expand a solution already in production.
Execution does not require starting everywhere. It requires starting with the right customer conversation and building from there.
As you move through FY27, stay connected to the latest Azure partner guidance, skilling, incentives, events, and resources through Azure Partner Pulse.
I will also continue to use this blog throughout FY27 to go deeper on the conversations, resources, and partner examples that can inform your next customer opportunity.