Document Q&A (RAG)
Assistants that answer from your manuals, policies and knowledge base, and show the source for every answer.
AI development · Chandigarh
AI agents and assistants, with humans in charge.
Practical AI for real work: agents that complete tasks, assistants that answer from your own documents, and automation that keeps a person in the loop.
- BuildsAgents · RAG · Automation
- QualityEvals before launch
- ControlHuman approval steps
- DataPrivate, logged, scoped
Bright Infonet builds AI agents, RAG chatbots that answer from your own documents and workflow automation for businesses in Chandigarh, the Tricity and across India. Each system is measured with evaluations before launch, routes risky actions to a person for approval and keeps your data private, with clear logs of what the AI did.
Useful business AI is rarely a general chatbot. It is a narrow assistant that reads your policies, contracts or product manuals and answers with sources, or an agent that drafts, checks and files routine work while a person approves the result.
We start from one workflow and a set of real examples. Those examples become an evaluation set, so accuracy is measured before launch and after every change to prompts, models or data.
Privacy is designed in: we choose model providers and hosting that do not train on your data, limit what the AI can see and do, and log every step for review. We have applied the same discipline in regulated work, including AI-assisted intake in our pharmacovigilance product PVgenix.
What we build
AI that does a specific job.
Customer support assistants
Website and WhatsApp assistants that resolve common questions and hand over to staff with full context.
Back-office agents
Agents that read emails and forms, extract data, update your systems and flag exceptions.
Document processing
Invoices, applications and reports turned into structured data with confidence checks.
Internal copilots
Drafting proposals, summaries and reports from your own templates and data.
AI inside your product
Search, summarisation and assistant features added to your existing web or mobile app.
Built to be trusted
Measured, reviewed and private.
Evaluation sets
Real examples with expected answers, scored automatically so quality is a number, not a feeling.
Human approval
Payments, customer messages and record changes wait for a person to approve before they happen.
Grounded answers
Responses tied to retrieved sources, with the assistant told to say when it does not know.
Least-privilege tools
Agents get only the actions and data a task needs, nothing broader.
Data privacy
Providers and hosting chosen so your data is not used for model training, with sensitive fields masked where needed.
Audit logs
Every prompt, retrieval, tool call and approval recorded for review and improvement.
Is this for you?
A good fit if…
- Your team spends hours answering the same questions from documents.
- You have a repetitive back-office task that follows rules most of the time.
- You want AI in production but need accuracy you can measure and actions you can approve.
- You handle confidential or regulated data and need to know exactly where it goes.
FAQ
Common questions.
Will our data be used to train AI models?
No. We use model providers and settings that do not train on your data, or self-hosted models where required, and we document exactly where data is stored.
What is a RAG chatbot?
Retrieval-augmented generation means the assistant first searches your own documents, then answers using what it found and cites the source. It reduces made-up answers and keeps responses up to date.
How do you know the AI is accurate enough?
We build an evaluation set from your real examples and score the system against it before launch and after every change. You see the results and decide when it is ready.
Can an AI agent take actions in our systems?
Yes, through tightly scoped tools. Anything risky, such as sending messages, changing records or approving payments, can require a person to approve it first.
Which AI model do you use?
We choose per project based on accuracy on your evaluation set, cost, speed and data rules. The design lets us switch models later without rebuilding the app.
Do you work with businesses outside Chandigarh?
Yes. We work with clients across the Tricity in person and with businesses across India and abroad remotely.
Keep reading
Related pages.
Have a project in mind?Talk to an engineer →