Build What’s Next with Microsoft
As an official Microsoft Cloud AI Partner, we help organizations align Azure, Dynamics 365, Power Platform, and AI into a secure, scalable Microsoft ecosystem.
The problem isn't the tools and technology, it's how they've been stitched together over time.
If you've been working within the Microsoft ecosystem for a while, you've likely sensed this gap where everything exists within one stack but still doesn't fully align in practice. Teams end up checking data across different tools, automations require constant oversight, and reports aren't used without validation.
As an official Microsoft Cloud AI Partner, Sigma Solve helps organizations unlock greater value from Microsoft technologies across Data & AI, Digital & App Innovation, and Infrastructure. Our approach to enterprise modernization has also earned recognition, including being named on the 2026 Inc. 5000 list of America's Fastest-Growing Private Companies.
Where We Help
We help organizations get the most from their Microsoft investments by bringing applications, data, automation, and AI together into one connected ecosystem.
Microsoft Cloud AI Expertise: As an official Microsoft Cloud AI Partner, we deliver solutions across Data & AI, Digital & App Innovation, and Infrastructure to help organizations maximize the value of their Microsoft investments.
Connected Data: We align Azure, Dynamics, and Power Platform to create a single, trusted source of data.
Process Automation: We streamline automations to reflect real business workflows and reduce manual effort.
Simplified Integrations: We remove unnecessary complexity to create reliable connections across Microsoft and third-party systems.
Trusted Insights: We build reporting and AI solutions on governed data, so teams can act with confidence.
Case Studies
Enterprise setups need more than just deployment. These examples show how Microsoft environments were shaped to support real operations, not just tools.
HR Technology Modernization for 3X Growth
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How We Help
As a Microsoft partner, we help organizations get more value from the Microsoft ecosystem. We connect and align Azure, Dynamics 365, and Power Platform so data moves consistently, automations make sense, and integrations support the business rather than adding complexity. That foundation becomes even more important as organizations adopt AI. Whether implementing Microsoft Copilot, intelligent automation, or custom AI solutions, we focus on giving AI access to the right data and business context so teams can trust and actually use the results.
Frequently Asked Questions
Each product manages its own data model independently by default. Azure handles infrastructure and telemetry data; Dynamics manages CRM and ERP records; Power Platform builds automation and reporting on top of both, without a shared schema or a common definition of entities like customer, order, or product. The conflict isn't a bug in any individual product. It's the absence of a deliberate integration architecture across all three.
Copilot's output quality is bound by the quality and consistency of the data it accesses. In a Microsoft environment where Azure, Dynamics, and Microsoft 365 share inconsistent data models or incomplete records, Copilot produces plausible-sounding output that doesn't reflect operational reality. AI features in the Microsoft stack are multipliers; they amplify what's already in the data, including the errors.
Implementation delivers a configured system. Business value requires the system to reflect how the business operates, which means accurate data migration, workflow design that matches real processes rather than default templates, and user adoption that extends beyond the initial rollout. Dynamics 365 implementations that skip governance design or treat user training as an afterthought tend to revert to spreadsheets and email within six to twelve months.
Power Platform's low-code environment allows business users to build apps and automations quickly, which is valuable, but difficult to govern at scale. Without controls on data connections, solution naming, and environment management, organizations accumulate hundreds of flows and apps with no clear ownership, overlapping logic, and no audit trail. Power Platform governance isn't about restricting what gets built; it's about ensuring that what gets built is visible, maintainable, and connected to the right data sources.