An AI agent can check inventory, create a support ticket, update a CRM record, process a refund, or trigger a fulfillment workflow — autonomously, within guardrails you define. Magebytes designs and builds multi-step agentic AI systems that plug into your existing tools (CRM, ERP, internal APIs, or industry-specific systems) using frameworks like LangChain, LangGraph, and the Model Context Protocol (MCP).
OpenAI, Anthropic Claude, LangChain/LangGraph, MCP, AWS Bedrock, vector databases (Pinecone/Weaviate)
Industry Use Cases
An agent that qualifies inbound leads, checks listing availability, and schedules a viewing — end to end.
ExploreAn agent that monitors shipment exceptions, contacts carriers, and updates customers automatically.
ExploreAn agent that reconciles transactions against invoices and flags discrepancies for review.
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Industries We Serve
AI agents that don't just answer — they act.
Got Questions?
A chatbot answers questions. An agent takes multi-step action — it can check systems, make decisions within guardrails, call tools/APIs, and complete a task end-to-end without a human driving every step.