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Sonata Software is expanding its work with Microsoft on enterprise AI, building on a relationship of more than 30 years. The company says a new partner recognition and deeper engagement with Microsoft’s AI programs will support efforts to bring agentic workflows into business environments, where data access, application connections and governance are essential.
Key takeaways
Sonata’s announcement signals a shift from AI tools that generate responses toward systems that can take actions within enterprise workflows. The value of those systems will depend on reliable data and integration with existing applications.
- Sonata received Microsoft’s 2026–2027 AI Business Solutions Inner Circle Award.
- It joined Microsoft’s Copilot Agents & Platform Engineering Depth Partners program and became a Microsoft Frontier Partner.
- Sonata says its Harmoni.AI approach combines AI-ready data, modernization, operations and service delivery capabilities.
- Microsoft Fabric and connected data platforms are part of the foundation enterprises need to make AI useful across business systems.
From copilots to agentic workflows
Generative AI tools commonly help employees draft, summarize or answer questions. Agentic systems aim to go further: retrieving information across business applications, identifying a suitable next step and carrying out an authorized action. That transition brings new requirements for permissions, security, governance and reliable connections to organizational data.
Sonata’s expanded Microsoft engagement is focused on this evolving space. Its work spans Dynamics 365, Azure, Microsoft Fabric, Power Platform and Copilot, while participation in Microsoft’s partner programs provides closer engagement with Microsoft engineering and product teams, according to the company’s announcement.
Data foundations will determine practical value
An agent’s usefulness depends on the quality and accessibility of the information it can use. Fragmented data, legacy systems and disconnected applications can prevent AI from producing dependable results or completing tasks consistently. Sonata says its Harmoni.AI tooling addresses this broader environment through AI-led modernization, data preparation, resilient operations and service delivery. The company also reports having more than 6,400 AI engineers and using its Platformation framework in modernization work.
For enterprise leaders, this makes data architecture a core part of AI planning, not a follow-on project. Spargent’s work with Microsoft Fabric and Power BI similarly focuses on unifying data and reducing reporting bottlenecks so teams can build analytics on a more consistent foundation. Its model of providing on-demand certified experts is designed to help enterprises deliver data platforms and analytics faster; the company reports an average six-month ROI payback.
What enterprise teams should assess
Before scaling agentic AI, organizations should evaluate whether their data and application environments can support secure, measurable execution. A practical review includes data quality, integration coverage, access controls and the business outcomes each workflow is expected to improve.
The partnership news reflects growing industry attention to connecting AI with operational systems. For decision-makers, the priority is to pair new AI capabilities with clear governance and a data foundation that can support accurate, timely decisions.
