AI Agents & Copilots Services | PSYT Consultancy

Direct Answer Overview: AI Agents & Copilots

We engineer custom AI agents and intelligent copilots for businesses. By grounding LLMs in your internal documentation via Retrieval-Augmented Generation (RAG) and vector databases, our agents automate customer support, lead qualification, and document analysis without hallucinations.

Key Capabilities

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Grounded RAG Vector Search (Qdrant/Pinecone)
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Multi-Modal LLM Integrations (Gemini / OpenAI)
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Autonomous Workflow Execution
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Real-Time WebSockets Chat Interfaces
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Anti-Hallucination Guardrails & Fallbacks
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Human-in-the-Loop Escalation Triggers

Engineering Process

Knowledge Indexing

Parsing and embedding internal documents into vector databases.

Agent Engineering

Building system prompts, tool functions, and guardrails.

Interface Integration

Deploying widget chat interfaces on websites and mobile apps.

Testing & Tuning

Refining retrieval accuracy and evaluating agent responses.

AI Agents & Copilots City Availability & Locations

We provide localized technical consultation and engineering for clients in major cities across India.

AI Agents & Copilots in Raipur (CG) → AI Agents & Copilots in Mumbai (MH) → AI Agents & Copilots in Pune (MH) → AI Agents & Copilots in Bengaluru (KA) → AI Agents & Copilots in Hyderabad (TG) →

Frequently Asked Questions

How do you ensure AI agents do not hallucinate wrong answers?

We enforce Retrieval-Augmented Generation (RAG), restricting LLM answers strictly to verified vector database context.

Can AI agents handoff to human support representatives?

Yes, our agents automatically detect complex intent or user requests to connect with a real human agent.

FAQ

Questions? Answered.

Can your AI agents connect to our existing database structures? +

Yes. We implement secure database connectors. The AI agent can translate conversational user intent into SQL queries to fetch records on request.

What is Retrieval-Augmented Generation (RAG)? +

RAG is an architecture that keeps AI models from making up facts. Instead of searching public training data, the model searches your private vector database files to answer questions accurately.

Can the AI qualify customer leads automatically? +

Yes. Our AI assistants converse with visitors, identify project scope requirements, record name and contact details, and route qualified entries to your CRM. Read our AI guides.

How do you protect private corporate database files? +

We deploy models using business-tier API partitions. This ensures that vendor models do not use your proprietary documents for public model training.

Still have questions?

Tell us what you're trying to build and we'll help you figure out the right approach.

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