Autonomous AI agents that think, decide, and act
We build production-grade AI agents — from single-purpose task automation to multi-agent systems that handle complex end-to-end workflows without human supervision. Fixed price. Full code ownership. From ₹40,000.
Everything included in every agent project
- Multi-step reasoning agent pipelines (LangGraph, CrewAI)
- Tool-calling agents with web search, code execution & API access
- RAG-powered knowledge agents trained on your business data
- Autonomous task orchestration with human-in-the-loop controls
- Memory systems (short-term, long-term, episodic)
- Agent observability, tracing & evaluation dashboards
- REST API wrappers for seamless integration into existing apps
- WhatsApp & web channel deployment
- CI/CD pipelines and cloud deployment (Vercel, AWS, Railway)
- LLM provider agnostic — OpenAI, Anthropic, Gemini, Mistral
Why our agents perform in production
Reasoning, not just responses
Unlike simple chatbots, our agents plan multi-step action sequences, call tools, evaluate intermediate results, and retry failed steps — just like a human operator would.
Tool-use & real-world actions
Agents we build can browse the web, run code, query databases, call external APIs, send emails, update CRMs, and execute business logic — all autonomously within guardrails.
Safety & oversight built in
Every agent includes human-in-the-loop escalation, action-level audit logs, rate limiting, prompt injection defence, and confidence-gated execution to prevent runaway automation.
Shipped in weeks, not months
We scope tightly, build on proven agent frameworks, and deliver working agents in 4–10 weeks. You get the full source code, infrastructure, and documentation on day one.
AI agent development in India — facts that matter
Production facts about how RisonAI Tech builds and deploys AI agents for Indian businesses.
LangGraph & CrewAI
Our primary agentic frameworks — stateful, observable, and production-tested.
50–100 test scenarios
Every agent goes through a structured red-teaming phase before launch.
REST API delivery
Agents deployed behind REST APIs compatible with any existing web app or WhatsApp channel.
LLM-agnostic
We build for OpenAI, Anthropic, Gemini, Mistral, and open-source models (Llama).
From ₹40,000
Fixed-price projects for focused single-purpose agents. Full source code ownership.
Panipat, Delhi NCR
Based in Panipat, Haryana. Serving Delhi, Gurgaon, and global clients.
Agent types we build
Customer support agents
Context-aware agents that handle L1/L2 support, retrieve order history, process refunds, escalate to humans, and close tickets — across web chat and WhatsApp.
Lead qualification agents
Agents that converse with inbound leads, score them against your ICP criteria, enrich with external data, and push qualified leads to your CRM with meeting links.
Research & synthesis agents
Agents that browse the web, summarise competitor activity, compile market intelligence reports, and push structured outputs to Notion, Sheets, or Slack.
Operations & workflow agents
Back-office agents that process documents, update records across systems, generate exception reports, and complete multi-step operational tasks without human intervention.
Coding & DevOps agents
Agents that write, test, and deploy code changes, triage bug reports, generate PR descriptions, and monitor CI/CD pipelines — reducing developer toil.
Multi-agent systems
Orchestrated teams of specialised sub-agents — a planner, researcher, writer, and reviewer working together to complete complex tasks that a single agent cannot handle.
How we build your agent
- 1
Agent scoping & task decomposition
We map your business task into a well-defined agent spec: inputs, tools required, success criteria, failure modes, and escalation triggers. Output is a written agent design doc.
- 2
Tool inventory & API integration
We audit every system the agent needs to touch — CRMs, databases, APIs, file stores — and build typed, tested tool wrappers for each with proper auth and rate-limit handling.
- 3
Reasoning framework setup
Build the agent's core loop using LangGraph (for stateful graph-based agents) or CrewAI (for multi-agent teams) — with memory, tool routing, and step-level observability.
- 4
RAG knowledge layer (if required)
Ingest and index your documents, FAQs, SOPs, and product data into a vector store (Pinecone, Qdrant, pgvector). Agent retrieves relevant context before every action.
- 5
Evaluation & red-teaming
Run the agent against 50–100 real business scenarios. Measure task completion rate, hallucination rate, and tool-call accuracy. Iterate until production-ready benchmarks are met.
- 6
Safety & guardrails implementation
Add prompt injection defences, output validators, confidence thresholds, action budgets, and human escalation flows. No agent ships without a documented safety checklist.
- 7
Deployment & channel integration
Deploy the agent behind a REST API, connect to your web app, WhatsApp, Slack, or internal dashboard. Full infrastructure handover with runbooks and monitoring dashboards.
- 8
Handover, docs & 30-day support
Full source code, architecture docs, agent evaluation scripts, and 30 days of post-launch support for edge cases and prompt tuning.
Frequently asked questions
- What is an AI agent and how is it different from a chatbot?
- A chatbot gives pre-defined or LLM-generated replies in a single turn. An AI agent autonomously plans a sequence of actions, calls external tools (APIs, databases, web search), evaluates results, and iterates until a goal is achieved — much like a human operator.
- Which frameworks do you use to build AI agents?
- We primarily use LangGraph for stateful, graph-based single agents and CrewAI for orchestrated multi-agent systems. We also build custom loops with the OpenAI Assistants API and Anthropic's tool-use API depending on the requirements.
- How much does AI agent development cost in India?
- A focused single-purpose agent starts at ₹40,000–₹1,20,000 (4–6 weeks). A multi-agent system with RAG, custom tooling, and a dashboard ranges from ₹1,50,000–₹5,00,000 (8–12 weeks). We provide fixed-price quotes after a free scoping call.
- Can the agent connect to our existing CRM, database, or software?
- Yes. We build typed tool wrappers for any system with an API — Salesforce, HubSpot, Zoho, custom databases, WhatsApp Business, Google Workspace, Notion, Jira, and more.
- How do you prevent the agent from making mistakes or going rogue?
- Every agent includes confidence thresholds, action budgets, output validators, prompt injection defences, and human-in-the-loop escalation triggers. We also run a structured red-teaming phase before deployment.
- Do I own the code and models?
- Yes. You receive full source code, infrastructure configuration, evaluation scripts, and documentation. You are not locked into any proprietary platform we build on.
Ready to deploy your first AI agent?
Free 30-minute scoping call. We'll define the agent, estimate the cost, and outline the delivery timeline — no obligation.