Build

Agentic Workflow Architecture

Multi-step autonomous agents with full observability, state management, and retry logic — integrated with your existing systems.

What's Included

Agents that work — and that you can trust.

Agent Architecture Design

Multi-step agent workflows designed around your specific business processes.

State Management

Persistent state tracking across multi-step agent runs.

Observability & Tracing

Full visibility into agent decisions, tool calls, and execution paths.

Retry & Recovery Logic

Automatic retries and graceful failure handling for production reliability.

MCP Protocol Integration

Connect agents to your tools and data sources via the MCP protocol.

AWS Lambda Deployment

Serverless deployment on AWS Lambda for scalable, cost-efficient execution.

How It Works

From workflow map to deployed agents.

01

Map Workflows

Identify the multi-step processes ready for agentic automation.

02

Architect

Design agent roles, tool access, and orchestration logic.

03

Build

Implement using LangGraph or n8n with MCP protocol integrations.

04

Instrument

Add observability, tracing, and retry/recovery logic.

05

Deploy & Monitor

Ship to AWS Lambda with ongoing monitoring.

LangGraphn8nMCP ProtocolAWS Lambda

Ready to put autonomous agents into production?

Get In Touch

Talk to the AI Services team.

AI Services Contact

AI Quality Audits, RAG pipelines, agentic workflows, and continuous monitoring.

Email

ai@tvaksatech.com

Phone

+91 70260 02096

Hours

Calls: 9:00 AM – 6:00 PM | WhatsApp & Message: Anytime

Book a call

Send us a message

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