Why Framework Selection Matters for Enterprise Agentic Systems
The orchestration framework determines how agents communicate, how state is managed across long-running workflows, how telemetry is collected, and how the system recovers from failures. In regulated enterprise environments, these properties are not optional — they are the difference between a system that passes a compliance audit and one that cannot be deployed in production.
Microsoft Agent Framework 1.0 — WTA's Primary Runtime
Microsoft Agent Framework 1.0 is the direct successor to both Semantic Kernel and AutoGen, created by the same Microsoft teams. It provides graph-based workflow orchestration, enterprise-grade session state management, type safety, middleware, and extensible telemetry. WTA standardised on Agent Framework 1.0 as the production runtime for all agentic platform engagements from its General Availability date on April 3, 2026. It integrates natively with Azure AI Foundry, Durable Functions, Entra ID, and Azure Monitor — the complete enterprise governance stack.
LangGraph — Complex State Machine Orchestration
LangGraph is WTA's choice for complex state machine orchestration where the workflow graph is highly conditional and branching logic is central to the agent's decision-making. It provides fine-grained control over execution paths that is sometimes preferable to Agent Framework's graph model for specific use cases. WTA uses LangGraph alongside Agent Framework on engagements where the orchestration complexity warrants it.
CrewAI — Role-Based Multi-Agent Workflows
CrewAI's role-based agent model makes it well-suited for workflows where distinct agent personas with defined responsibilities collaborate on a shared goal. WTA uses CrewAI for document intelligence pipelines and content generation workflows where the role model maps cleanly to the business process.
LangChain — Rapid Pipeline Composition
LangChain remains valuable for rapid pipeline composition and prototyping. WTA uses it in the early stages of engagements where speed of iteration is prioritised over production governance, then transitions to Agent Framework for production deployment. See how WTA builds agentic platforms using the full orchestration stack.
Frequently Asked Questions
Which agentic orchestration framework does WTA recommend for enterprise production? Microsoft Agent Framework 1.0 — it is WTA's standard production runtime for all agentic engagements. It provides production SLAs, native Azure integration, enterprise governance (Entra ID, Azure Monitor), and graph-based workflow orchestration that satisfies Fortune 500 procurement and regulated industry requirements.
Is AutoGen still relevant for enterprise agentic systems? AutoGen has been superseded by Microsoft Agent Framework 1.0, created by the same Microsoft team. Agent Framework combines AutoGen's simple abstractions with Semantic Kernel's enterprise-grade features and adds graph-based workflow orchestration. WTA recommends migrating from AutoGen to Agent Framework 1.0 for all production deployments.
When would WTA use LangGraph instead of Microsoft Agent Framework? LangGraph is preferred for highly conditional state machine workflows where branching logic is the primary complexity driver. Agent Framework is preferred for stateful multi-agent orchestration with enterprise governance requirements. Both can be used together on the same engagement.
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