+91 9257086308 sales@dqotsolutions.com
Dqot Solutions
+91 9257086308 sales@dqotsolutions.com
AI Copilots · Built Into Your Product

AI Copilot Development: An AI Assistant Inside Your Own Product

We build AI copilots into SaaS products, enterprise software and web apps. Your users get an assistant that understands what they are working on and helps them finish it faster, without leaving your product.

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8+
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AI Copilot Development

AI Copilot Development

by DQOT Solutions — Trusted by 75+ Global Clients

GPT-4oStreaming ResponsesContext-AwareSDK ReadyCustomizable UIMCP Protocol
India
USA
UK
UAE
Trusted by 75+ businesses across India India USA USA UK UK UAE UAE Canada Canada Australia Australia Rated 4.9/5 on Clutch
What Is AI Copilot Development?

An Assistant That Lives Inside Your Product

An AI copilot is an assistant built into your product. It can appear as a side panel, a slash command, a chat window or a suggestion in the text. Because it can see what the user is working on, it can help straight away with drafts, summaries and suggestions.

GitHub Copilot, Notion AI and Microsoft 365 Copilot have made people expect this kind of help inside the software they use. DQOT Solutions builds the same kind of assistant for your product, using existing AI models so you do not have to develop one from scratch.

What We Deliver

What Our AI Copilots Can Do

Pick the abilities your users would value, and we will design and build them into your product.

📍

Context Awareness

The copilot reads the page the user is on, the data they have selected and what they did recently. Its suggestions fit the task in front of them.

✍️

Drafting & Writing

Users can ask the copilot to write an email, build a report, summarize a document, translate text or produce a first draft, all inside your interface.

🔍

Questions in Plain Language

Users ask about their own data in everyday words, for example 'Show me all invoices over $10K in Q3', and get the answer without building a filter or a report.

⚡

Slash Commands & Shortcuts

Typing /ai brings up copilot actions right where the user is working. They stay in the flow of the task and do not have to switch screens.

🔗

Deep Product Integration

The copilot knows your data model, user permissions and business rules. It can create records, update fields and start workflows on the user's behalf.

🎨

Your Branding, Your Interface

The chat panel, inline suggestions, tooltips and command palette are all designed to match your product, so the copilot looks like part of it.

Our Process

How We Build Your AI Copilot

We work in six steps, from finding where a copilot would help most to tuning its speed and running costs.

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1

Product Review

We study your product's data, the way people use it and the tasks that slow them down. That shows us where a copilot would help most.

2

Copilot Architecture Design

We plan the AI backend, the instructions the model works under, how it receives context from your product and how users will interact with it, all to suit your tech stack.

3

Model Integration

We connect the model you choose, such as GPT-4o, Claude or Gemini. We manage what information it is given, let it look things up in your data and allow it to call your product's functions.

4

Frontend SDK & UI Components

We build the chat panel, command palette and inline suggestions as a reusable SDK. Your developers can add it to the frontend with very little new code.

5

Access Control & Data Security

The copilot can see only what the signed-in user is allowed to see. We keep each customer's data separate and log what the copilot does.

6

Speed & Cost Tuning

We use prompt caching, careful token use and the right model for each task. This keeps your AI bills down while answers stay quick and good.

Industries & Use Cases

Products That Benefit From a Copilot

Use Case 1

SaaS Products

A writing copilot in your document editor, a data copilot in your analytics dashboard or a coding copilot in your development tool.

Use Case 2

CRM Platforms

A sales copilot drafts follow-up emails, summarizes call notes and suggests the next step. It can also update the deal stage from what was said.

Use Case 3

ERP & Finance Software

A finance copilot explains complex reports in plain English and flags unusual figures. It can write up a variance analysis and answer one-off questions about the data.

Use Case 4

Healthcare Applications

A clinical copilot summarizes a patient's history, drafts clinical notes and brings up relevant research for the clinician to review. It is built to your privacy and compliance requirements.

Use Case 5

Legal Tech Platforms

A contract review copilot points out risky clauses, compares the text with your standard templates, flags missing provisions and drafts suggested changes.

Use Case 6

E-Learning Platforms

A tutoring copilot answers students' questions, explains an idea in more than one way, writes practice problems and suggests what to study next.

Technology Stack

Tools & Technologies We Use

✓ GPT-4o / GPT-4-turbo✓ Claude 3.5 Sonnet✓ Gemini Pro✓ LangChain✓ Streaming API✓ React.js✓ TypeScript✓ WebSockets✓ Vercel AI SDK✓ PostgreSQL✓ Redis✓ AWS Lambda
Why DQOT Solutions

Why Businesses Choose Us for AI Copilot Development

🏆

8+ Years in Business

We started in Jaipur in 2018 and have since worked with 75+ clients in 7 countries, across software and digital marketing.

⚡

Short Cycles, Early Feedback

We work in short cycles and share each stage with you, so you can ask for changes while they are still easy to make.

🔍

Updates You Can Follow

You get regular progress updates and can see the work as it takes shape, so you always know what we are doing and why.

🌍

Offices in India and Canada

Our head office is in Jaipur, with offices in New Delhi and Canada. We work with clients in 7 countries, including India, the USA, the UK and the UAE.

🤖

AI Tools Where They Help

We use AI tools in our own work where they help, and build AI features into your product when they are useful to your customers.

🤝

A Long-Term View

We take the time to understand how your business works, and we aim to keep working with you after the first project is delivered.

FAQs

Frequently Asked Questions

Answers to the questions we hear most often about AI copilots. Can't find yours?

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A chatbot is a separate interface, usually a popup or its own page, for general questions and answers. An AI copilot is built into your product and knows what the user is looking at and doing. Its help arrives in the moment and feels like part of the product.
We build a secure layer that passes the relevant data, such as the current page, selected records and user history, to the language model within the API call. The copilot does not store your data. It processes it in real time within the model's context window.
Yes. The copilot can create records, update fields, trigger workflows and send notifications. It asks the user to confirm where that is appropriate and always checks permissions first.
A focused copilot feature, such as an AI writing assistant in an editor, takes 4–8 weeks. A copilot with several abilities and deep product integrations typically takes 10–20 weeks. We work in agile sprints with a demo every two weeks.
Costs depend on how much the copilot is used, which model you choose and how long a typical conversation is. With GPT-4o, a typical copilot interaction costs $0.005–$0.05 per conversation. We use prompt caching, model routing and token optimization to keep your ongoing costs down.
For highly sensitive environments we can run open-source models, such as Llama or Mistral, on your own servers. We can also set where your data is stored, and work under the enterprise API agreements that OpenAI and Anthropic offer for regulated industries.

Ready to Add a Copilot to Your Product?

Tell us about your product and where your users lose time. We reply within one working day, and both the consultation and the quote are free.

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