AI Proof of Concept
AI Proof of Concept: Test AI on Your Real Data in 2–4 Weeks
Xcrino Business Solutions is an AI-first software development company in New Delhi, India. Our fixed-price AI proof of concept starts from $3,000 (about ₹2.7 lakh) and shows, in 2–4 weeks, whether AI can solve one specific problem with your real data.
You see working results and real numbers before committing to a full build. Since 2016 we have served 560 clients in 26 countries, and 94% of our projects have been delivered on time and on budget.
- Fixed price
- 2–4 weeks
- Your real data
- Go / no-go
- 560
- clients served
- 26
- countries
- 69+
- developers
- 94%
- projects on time and on budget
At a glance
Key takeaways
- An AI proof of concept tests one specific use case on your real data before you commit to a full build.
- It costs from $3,000 (about ₹2.7 lakh), fixed price, and usually takes 2–4 weeks.
- You get working software, measured results and a clear go or no-go recommendation.
- If it is a go, a first production release typically takes 1–2 months from $5,000 (about ₹4.5 lakh).
- Our founder and AI lead, Dr Sunil Gupta, reviews your data before the build starts.
Quick answer
What is an AI proof of concept?
An AI proof of concept (PoC) is a short, fixed-scope build that tests whether AI can solve one specific business problem with your real data. It ends with working software, measured results and a clear recommendation on whether a full build is worth it.
At Xcrino, a PoC starts from $3,000 (about ₹2.7 lakh) and usually takes 2–4 weeks. If the results are good, the next step is a first production release, typically 1–2 months from $5,000 (about ₹4.5 lakh). If they are not, you have spent a small, fixed amount to find out.
What you get
What does an Xcrino AI proof of concept include?
- Scope
Use-Case Selection
Help choosing one problem where AI can make a measurable difference, with success criteria agreed up front.
- Data
Data Readiness Review
Our founder and AI lead, Dr Sunil Gupta, reviews whether your data can support the use case before the build starts.
- Build
Working Prototype
A working AI agent, RAG assistant or machine-learning model, running on your real data.
AI agent - Results
Measured Results
Accuracy, speed and expected running costs, measured against the success criteria.
- Decision
Go / No-Go Recommendation
A clear recommendation, plus a scoped plan and fixed quote for production if it is a go.
- Ownership
Full Handover
Source code and assets transfer to you on full payment. We sign an NDA whenever you ask.
Fit
When should you start with an AI proof of concept?
Start with a proof of concept when you have a specific problem in mind but are not sure AI will solve it well enough with your data. It is the cheapest way to replace opinions with numbers: how accurate, how fast, and what it will cost to run.
Skip it when the answer is already obvious, for example a standard chatbot on a public FAQ, or when you have no data yet. In the first case, go straight to a build; in the second, start by collecting the data you will need.
Use cases
Which use cases make a good AI proof of concept?
The best proofs of concept are narrow, measurable and close to real work. These are the ones clients ask for most.
- Document extraction: Pulling fields from invoices, forms, IDs or contracts into your system.
- Knowledge assistant: A RAG assistant that answers from your policies, manuals or product data.
- Support agent: An AI agent that drafts replies and looks up orders, with a person approving.
- Demand forecasting: Predicting sales or stock needs from your sales history.
- Lead or risk scoring: Ranking leads, customers or transactions by likelihood or risk.
- Classification and routing: Sorting tickets, emails or documents to the right team automatically.
Stages
Proof of concept, first release or ongoing: what is the difference?
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 data, measured results and a 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 version your team uses daily | 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 monitor, improve and extend it | Typical length: Monthly | Starting price: From $1,250 (about ₹1.13 lakh) a month |
Process
How does an AI proof of concept work at Xcrino?
- 01
Free consultation
Tell us the problem, the data you have and how the work is done today.
- 02
Fixed scope and price
We agree one use case, success criteria and a fixed price, from $3,000 (about ₹2.7 lakh).
- 03
Build on your data
We build and test the prototype on your real data, usually in 2–4 weeks.
- 04
Results review
We walk you through the measured results and our go or no-go recommendation.
- 05
Next step
If it is a go, we move to a first production release, typically 1–2 months from $5,000 (about ₹4.5 lakh).
Preparation
What should you prepare before a proof of concept?
- One clearly described problem, not a list of ideas
- A real sample of the data or documents involved
- A simple measure of success, such as accuracy or time saved
- A person on your side who can test results each week
- Access arrangements and an NDA, if you need one
Lessons
Why do some AI proofs of concept fail?
Most failed proofs of concept fail for reasons that have nothing to do with the model. The success measure was vague, so nobody could say whether it worked. The sample data was cleaner than real data. Or nobody on the business side had time to test it.
We guard against this by agreeing the success criteria in writing before the build, testing on real data from day one, and reviewing results with you every week.
AI agent developmentRAG developmentCase study: AI demand forecastingRead: where AI belongs in a product
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 proof of concept: questions answered
How much does an AI proof of concept cost?
An AI proof of concept at Xcrino starts from $3,000 (about ₹2.7 lakh) and is fixed-price once the scope is agreed.
How long does an AI proof of concept take?
Usually 2–4 weeks, depending on the use case and how ready your data is.
What happens if the proof of concept does not work?
You get a clear explanation of why, and a recommendation on whether a different approach could work. You are not committed to a full build, and the cost is limited to the agreed fixed price.
What data do we need for an AI proof of concept?
Real examples of the data the AI will use, such as documents, records or sales history. Our AI lead reviews it at the start and tells you honestly if it is not enough yet.
What happens after a successful proof of concept?
We scope a first production release with integrations, testing and monitoring, typically 1–2 months from $5,000 (about ₹4.5 lakh), and give you a fixed quote.
Who owns the proof of concept?
You do. Source code, prompts and other assets transfer to you once the project is paid in full.
Is the proof of concept price fixed?
Yes. We agree one use case, success criteria and a fixed price before we start, from $3,000 (about ₹2.7 lakh). If the scope needs to change, we agree it in writing first.
Can the proof of concept be reused in production?
Often parts of it can, such as data preparation, prompts and model choices. Production adds security, integrations and monitoring, so we quote it as a separate fixed step.
Find Out if AI Works for Your Problem
Describe one problem you would like AI to solve. We will tell you whether a proof of concept makes sense and what it would cost.
Company details
Xcrino Business Solutions
AI Proof of Concept • AI Agent Development • RAG • 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