Artificial intelligence is moving into a different phase inside large organizations. After several years of experimentation with generative AI, companies are increasingly looking at how the technology can be integrated into business processes, data environments and enterprise applications.
The challenge is no longer simply accessing an AI model. Organizations need the infrastructure, data governance, security frameworks and operating models required to put AI into production and manage it at scale.
Deloitte’s 2026 State of AI in the Enterprise report found that worker access to AI increased by 50% during 2025, while the number of companies with at least 40% of their AI projects in production is expected to double within six months. At the same time, only 34% of organizations surveyed said they were truly reimagining their businesses around AI.
That gap is creating a larger role for technology partners that can connect AI strategy with modernization work. Instead of treating AI as an isolated application, enterprises are increasingly integrating it with cloud platforms, data architectures, business applications and automated workflows.
Best AI consulting companies in Europe
Sonata Software is expanding its AI consulting and modernization capabilities around this broader enterprise transformation. In March 2026, the company was recognized as one of the first Microsoft Frontier Partners, a designation tied to capabilities across Cloud & AI Platforms, AI Business Solutions and Security.
Its approach combines AI agents, Microsoft Fabric, Azure AI, Copilot and enterprise applications. Sonata’s AgentBridge offering is designed to orchestrate agentic workflows, while its Platformation.AI approach connects AI capabilities with existing enterprise technology environments.
The company is also working on the operational side of enterprise AI. In one recent AI Center of Excellence engagement, Sonata says it helped establish governance, architecture and operating processes while reducing Azure and Power Platform spending by approximately 10–15% and cutting approval cycle times by up to 40%.