AI Agent Development Company in India
AI Agent Development Services That Get Real Work Done
Xcrino Business Solutions is an AI-first software development company in New Delhi, India. We build AI agents that read, decide and act across your business systems, such as your CRM, ERP, email and documents, with clear limits and human approval where it matters.
Since 2016 we have served 560 clients in 26 countries, and 94% of our projects have been delivered on time and on budget. Most agent projects start with a fixed-price proof of concept from $3,000 (about ₹2.7 lakh).
- AI agents
- LLMs
- Tool use
- Human in the loop
- 560
- clients served
- 26
- countries
- 69+
- developers
- 94%
- projects on time and on budget
At a glance
Key takeaways
- An AI agent completes tasks across your systems; a chatbot only answers questions.
- Xcrino builds agents with limited permissions, human approval for risky steps, and a log of every action.
- Projects start with a fixed-price proof of concept from $3,000 (about ₹2.7 lakh) in 2–4 weeks.
- A first production release typically takes 1–2 months and starts from $5,000 (about ₹4.5 lakh).
- Our founder and AI lead, Dr Sunil Gupta, reviews data readiness and signs off before any agent goes live.
Quick answer
What is an AI agent?
An AI agent is software that uses a large language model to work towards a goal. It reads information, decides what to do next, and takes actions through the tools and systems it is allowed to use, such as looking up an order, updating a record or drafting a reply.
Unlike a chatbot, which only answers questions, an agent completes tasks. Xcrino builds agents with defined permissions, logging, evaluation and human approval for higher-risk steps, so they are safe to run inside a business.
What we build
What AI agents does Xcrino build?
- Support
Customer Support Agents
Agents that answer customers from your knowledge base, look up orders and accounts, and hand over to a person when a case needs one.
- Sales
Sales and CRM Agents
Agents that qualify leads, update your CRM, draft follow-ups and prepare notes before meetings.
- Operations
Operations and Back-Office Agents
Agents that process documents, reconcile records and move data between your ERP, spreadsheets and email.
- Knowledge
Internal Knowledge Agents
Assistants that find and summarise information from your documents and systems, built on retrieval-augmented generation.
retrieval-augmented generation - Workflows
Multi-Agent Workflows
Several specialised agents working together on longer processes, with checkpoints a person can review.
- Integration
Agent Integration and Monitoring
Connecting agents to your existing software through APIs, then monitoring quality, cost and errors after launch.
existing software
Fit
When is an AI agent the right choice?
An agent is worth building when a task is frequent, follows a recognisable pattern, and needs information from more than one system. Good examples are answering order questions, preparing CRM updates after calls, or checking invoices against purchase orders. If people spend hours a week copying information between screens, an agent can usually take most of that work.
An agent is the wrong choice when a simple rule would do, when the task happens a few times a month, or when a mistake would be costly and nobody can review the result. In those cases we suggest rule-based automation or a RAG assistant instead, and we will tell you so in the first call.
Architecture
How is an AI agent built?
A production agent is more than a prompt. These are the parts we design and test in every agent project.
- Language model: Chosen for each task by accuracy, cost, speed and data privacy.
- Tools and integrations: Controlled API access to your CRM, ERP, email, documents or databases.
- Company knowledge: Retrieval (RAG) over your documents, so the agent works from current facts.
- State and memory: What the agent remembers within a task, and what it must forget.
- Guardrails: Permissions, spending and action limits, and human approval for risky steps.
- Evaluation and monitoring: Test cases before launch; logs, quality and cost tracking after it.
Compare
AI agent, chatbot or automation: which do you need?
| Approach | What it does | Best for |
|---|---|---|
| Rule-based automation | What it does: Follows fixed steps you define | Best for: Predictable tasks with clean, structured data |
| Chatbot | What it does: Answers questions in a conversation | Best for: Simple FAQs and lead capture |
| RAG assistant | What it does: Answers from your documents, with sources | Best for: Knowledge questions for staff or customers |
| AI agent | What it does: Plans steps and takes actions in your systems | Best for: Multi-step tasks across several tools |
Pricing
How much does an AI agent cost, and how long does it take?
Every project starts small and fixed-price, so you see results before you commit to a larger budget. INR figures are approximate, at about ₹90 to the US dollar.
| Stage | What you get | Typical length | Starting price |
|---|---|---|---|
| Proof of concept | What you get: A working prototype on your real data, measured results and a go or no-go recommendation | Typical length: 2–4 weeks | Starting price: From $3,000 (about ₹2.7 lakh), fixed price |
| First production release | What you get: Security, integrations, monitoring and a release your team can use every day | Typical length: 1–2 months | Starting price: From $5,000 (about ₹4.5 lakh) |
| Ongoing improvement | What you get: A dedicated AI/ML developer to improve, monitor and extend the system | Typical length: Monthly | Starting price: From $1,250 (about ₹1.13 lakh) a month |
| Running costs | What you get: Model usage billed by the AI provider, plus hosting | Typical length: Monthly | Starting price: Estimated during the proof of concept |
Process
How does Xcrino build an AI agent?
- 01
Choose the task
Pick one task that is frequent, measurable and safe to automate, and agree what success looks like.
- 02
Check data and systems
Our founder and AI lead, Dr Sunil Gupta, reviews whether your data and systems can support the agent you want.
- 03
Proof of concept
Build a working agent on your real data in 2–4 weeks, from $3,000 (about ₹2.7 lakh).
- 04
Guardrails and testing
Add permissions, human approval for risky actions, logging and test cases. The AI lead signs off before go-live.
- 05
Launch and improve
Release a first production version, usually in 1–2 months from $5,000 (about ₹4.5 lakh), then monitor and improve it.
Safety
How do we keep AI agents safe in production?
- Least-privilege access: the agent can use only the tools and data it needs
- Human approval before payments, refunds, deletions or messages to customers
- A log of every decision and action, so you can review what happened
- A test set of real cases, run before launch and after every change
- Spending and usage limits on model calls
- A switch to pause the agent instantly if something looks wrong
Related
Related services and reading
Most agents need company knowledge and a small first test. These pages cover both.
RAG developmentAI proof of conceptRead: how much AI agent development costsRead: where AI belongs in a productHire AI & ML developersHire AI experts by role
Get a quote
Tell us what you want to build
Share the problem, the systems involved and your timeline. We reply with next steps and, where it fits, a fixed-price first phase.
Reach us
New Delhi, India
FAQ
AI agent development: questions answered
What is the difference between an AI agent and a chatbot?
A chatbot answers questions. An AI agent completes tasks: it can look things up, make decisions within rules you set, and take actions in your systems, such as updating a CRM record or drafting and sending a reply for approval.
How much does AI agent development cost?
At Xcrino, an AI agent proof of concept starts from $3,000 (about ₹2.7 lakh) and a first production release from $5,000 (about ₹4.5 lakh). A dedicated AI/ML developer starts from $1,250 (about ₹1.13 lakh) a month. You get a fixed quote after a free consultation.
How long does it take to build an AI agent?
A proof of concept usually takes 2–4 weeks, and a first production release 1–2 months. Agents that connect to many systems or need extensive approvals take longer.
Can an AI agent work with our existing software?
Yes. Agents connect to your CRM, ERP, email, databases and other tools through APIs, with access limited to what each task needs.
How do you stop an AI agent from making mistakes?
We limit what the agent can access, require human approval for sensitive actions, test it against real cases before launch, log every action, and monitor quality afterwards. No AI system is error-free, so we design for detection and escalation.
Who owns the AI agent Xcrino builds?
You do. All source code, prompts and other assets transfer to you once the project is paid in full. Xcrino signs an NDA whenever you ask for one.
Which AI models do you use for agents?
We choose per task: commercial models from providers such as OpenAI, Anthropic or Google, or open-source models when data must stay on your own servers. The choice depends on accuracy, cost, speed and privacy.
What does an AI agent cost to run each month?
You pay the model provider for usage, plus hosting. We measure expected running costs during the proof of concept, so you know the monthly figure before you approve production.
Tell Us Which Task You Want an Agent to Handle
Share the task, the systems involved and how it is done today. We will tell you honestly whether an agent is the right fit and what a proof of concept would cost.
Company details
Xcrino Business Solutions
AI Agent Development • RAG • AI Proof of Concept • Machine Learning • Custom Software • ERP
New Delhi, India | Serving clients in 26 countries
E-523, Top Floor, Sector 7, Dwarka, New Delhi 110075 • +91 99539 20493 • info@xcrino.com