AI Engineering

AI Agent Development

Build autonomous AI agents that handle tasks, make decisions, and integrate with your systems. From conversational assistants to multi-agent workflows.

Build Your AI Agent
AI-Powered Solutions
NVIDIA / Google AI Partners
Production-Ready Agents
Capabilities

Agent Types We Build

Customer Support Agents
Intelligent agents that handle inquiries, route tickets, resolve common issues, and escalate to humans only when needed — reducing response times by up to 80%.
Workflow Automation Agents
End-to-end business process automation. From data entry and document processing to approval workflows and cross-system orchestration — all running autonomously.
Data Analysis Agents
Agents that extract insights from your data, generate reports, flag anomalies, and surface actionable intelligence — turning raw data into business decisions.
Multi-Agent Systems
Orchestrated teams of specialized agents that collaborate on complex tasks. Each agent handles its domain while a coordinator ensures seamless handoffs and quality control.
Technology

Our Tech Stack

LLM Providers
OpenAI, Anthropic, Google Gemini, Meta Llama, Mistral
Frameworks
LangChain, CrewAI, AutoGen, LlamaIndex, Semantic Kernel
Vector DBs
Pinecone, Weaviate, Qdrant, ChromaDB, pgvector
Deployment
AWS, Google Cloud, Azure, Docker, Kubernetes
Process

Development Process

1
Define Agent Goals
Map out what the agent needs to accomplish, its decision boundaries, and integration touchpoints.
2
Design & Prototype
Build a working prototype with core capabilities. Test with real scenarios and refine the agent’s behavior.
3
Build & Train
Develop production-grade agent with full integrations, error handling, logging, and performance optimization.
4
Deploy & Monitor
Launch with monitoring dashboards, feedback loops, and continuous improvement based on real-world usage data.
Why Us

Why JIITAK for AI Agents

Production-grade architecture
Not a demo — we build agents that handle real-world edge cases, scale under load, and recover gracefully from failures.
Enterprise security & compliance
Data isolation, access controls, audit logging, and compliance-ready architecture built in from day one.
Continuous learning loops
Agents that get smarter over time. We build feedback mechanisms and retraining pipelines so performance improves with every interaction.
Human-in-the-loop fallbacks
Smart escalation paths ensure agents hand off to humans when confidence is low or decisions require human judgment.
FAQ

Frequently Asked Questions

01.
What is an AI agent?

An AI agent is an autonomous software system that can perceive its environment, make decisions, and take actions to achieve specific goals. Unlike simple chatbots, AI agents can use tools, access databases, call APIs, and orchestrate multi-step workflows without human intervention for each step.

02.
How much does AI agent development cost?

AI agent development typically ranges from $15,000 for a focused single-purpose agent to $150,000+ for complex multi-agent systems with enterprise integrations. Cost depends on the number of capabilities, integrations, training data complexity, and deployment infrastructure.

03.
How long does it take to build an AI agent?

A proof-of-concept agent can be built in 2-4 weeks. A production-ready single-purpose agent takes 6-10 weeks. Complex multi-agent systems with enterprise integrations typically require 12-20 weeks. We deliver iteratively so you see working functionality early.

04.
Can AI agents integrate with my existing systems?

Yes. We build AI agents that integrate with your existing tools via APIs, webhooks, and database connections. Common integrations include CRMs (Salesforce, HubSpot), project management (Jira, Asana), communication (Slack, Teams), and custom internal systems.

Get Started

Ready to Build Your AI Agent?

Tell us what you want to automate. We’ll show you what’s possible and build a proof of concept in weeks, not months.

Build Your AI Agent
Or tell us what you want to automate