Microsoft Solution Partner
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AgenticWorkflowAutomationwithLangGraph.js
Techseria builds AI agent workflows with LangGraph.js — stateful automation with branching logic, tool calling, and human approval. Azure deployed.
Key Benefits
- Stateful multi-step agents that maintain context across a full business process — not just single-shot AI responses
- Branching logic and conditional routing built into the workflow graph — AI decisions determine next steps dynamically
- Human-in-the-loop approval gates at critical decision points — agents escalate to humans when needed, proceed autonomously otherwise
- Tool integration — agents call APIs, query databases, read documents, send notifications, and update systems as part of the workflow
- Full execution audit trail — every agent decision, tool call, and state transition logged for compliance and debugging
- Node.js deployed on Azure — integrates with your existing stack, scales with your usage, no new vendor platform required
Stack
Technologies Used
LangGraph.js
LangChain.js
Azure OpenAI Service
LangGraph.js
LangChain.js
Azure OpenAI Service
Node.js / TypeScript
Azure Functions & Logic Apps
Node.js / TypeScript
Azure Functions & Logic Apps
Have a multi-step business process that involves repeated manual handoffs, decisions, and tool lookups? Our AI Discovery Workshop maps your workflow and defines an agentic automation design before any build is scoped.
FAQs