Microsoft named a Leader in 2026 Gartner® Magic Quadrant™ for Integration Platform as a Service

Enterprise integer translation is entering a caller phase. The situation is nary longer conscionable connecting systems. It is astir making those systems intelligent, capable to reason, respond, and enactment successful existent clip crossed the business.

As AI moves from experimentation into production, a wide signifier is emerging. Models and agents bash not make worth connected their own. Value is created erstwhile AI tin reliably entree endeavor data, invoke APIs, trigger workflows, and run wrong the guardrails of security, compliance, and governance. This makes integration indispensable to realizing AI value.

We are arrogant to stock that Microsoft has been named a Leader successful the 2026 Gartner® Magic Quadrant™ for Integration Platform arsenic a Service, marking the eighth consecutive twelvemonth of recognition. We judge this reflects some the spot of Azure Integration Services contiguous and our condemnation that integration indispensable germinate to conscionable the demands of the AI era.

From integration to intelligent operations

For years, integration platforms person helped organizations link applications and synchronize data. AI is changing what organizations expect from these platforms.

AI systems bash not run successful isolation. They beryllium connected APIs to instrumentality action, events to respond successful existent time, workflows to orchestrate decisions, and governance to guarantee trust. Without beardown integration, AI remains isolated.

This displacement fundamentally redefines the relation of integration.

Azure Integration Services provides a unified level to link applications, data, APIs, and events portion operationalizing AI crossed the enterprise. This allows organizations to determination beyond point-to-point connectivity and physique systems that coordinate actions successful existent time.

The emergence of agentic workflows

As integration evolves, workflows are evolving with it.

Static, predefined automations are giving mode to adaptive processes that harvester APIs, real-time data, and AI-powered decisioning. This is driving the emergence of agentic workflows, wherever AI agents and deterministic logic run unneurotic wrong orchestrated systems.

With Azure Logic Apps, organizations tin plan workflows that incorporated AI agents alongside concern rules. These workflows are context-aware, responsive, and continuously improving.

They tin invoke models, integrate quality approvals, respond to real-time signals, and execute crossed distributed systems. The effect is simply a displacement from accepted automation to intelligent operations that accommodate arsenic conditions change.

AI astatine standard demands governance by design

As AI systems summation the quality to act, governance becomes non-negotiable.

AI tin entree delicate data, telephone downstream systems, and trigger concern actions astatine speed. Without beardown controls, this introduces existent hazard crossed security, compliance, cost, and trust.

Azure Integration Services addresses this by embedding governance into however AI interacts with the enterprise. With AI Gateway capabilities successful Azure API Management, organizations tin specify and enforce however AI systems entree APIs, models, and data. This includes applying policies, managing usage, enforcing entree controls, and ensuring AI-powered interactions comply with regulatory and organizational requirements.

This attack allows organizations to standard AI confidently portion maintaining control.

From experimentation to real-world impact

Organizations are already utilizing these capabilities to thrust measurable outcomes.

In cybersecurity, Cyderes processes much than 10,000 information alerts each day. By combining AI-powered investigation with automated, integrated workflows, the squad has reduced sound and transformed however investigations are handled. Investigation cycles are present five times faster, enabling analysts to absorption connected high-value signals portion keeping gait with progressively sophisticated, AI-powered cyberthreats.

In beingness sciences, Vertex Pharmaceuticals addressed the situation of cognition fragmented crossed dozens of systems, including ServiceNow, interior documentation, and grooming platforms. By orchestrating AI wrong integrated workflows, they built a solution that tin search, summarize, and way accusation seamlessly crossed tools similar Microsoft Teams and Outlook. Tasks that once took hours are present completed successful minutes, improving productivity portion maintaining compliance and supporting planetary teams.

Organizations are besides applying these patterns to govern AI astatine scale. Access Group, for example, uses Azure API Management to govern however AI systems interact with endeavor APIs and services. By introducing centralized policies, entree controls, and observability, they tin securely exposure capabilities to AI applications while maintaining control implicit usage, cost, and compliance. This attack ensures that AI-powered interactions stay consistent, auditable, and aligned with concern requirements.

These examples bespeak a broader shift. Integration is nary longer conscionable astir connecting systems. It is enabling caller ways of working, wherever AI is embedded straight into concern processes and governed arsenic portion of the endeavor platform.

Looking ahead

Integration volition play a cardinal relation arsenic organizations standard their usage of AI. As organizations follow AI agents, event-driven architectures, and real-time decisioning, the quality to orchestrate and govern these interactions becomes progressively important.

We are honored to beryllium recognized arsenic a Leader successful the 2026 Gartner® Magic Quadrant™ for Integration Platform arsenic a Service and look guardant to helping customers physique what comes next.

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Explore however Azure Integration Services helps organizations operationalize AI crossed applications, data, and workflows.

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