Vaqnova is an IT services company based in Rajkot, Gujarat, India, building websites, mobile apps, custom software, cloud systems, automation, AI agents, SaaS products, e-commerce stores and games for businesses in India and worldwide.

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  1. Home
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  3. Agentic AI Services

Service

Agentic AI Services

Agentic AI systems that plan, use tools, retrieve knowledge, and complete multi-step business tasks.

Overview

Vaqnova designs and builds AI agents that complete real business tasks: answering customer questions from your knowledge base, triaging support tickets, qualifying leads, processing documents and preparing reports. Agents use large language models together with your data and tools, within the permissions you set.

We focus on production readiness, not demos: grounding answers in trusted data, limiting what agents can do, requiring human approval for consequential actions, logging every step and evaluating accuracy before and after launch.

Who it's for

  • Support teams handling high volumes of repetitive questions
  • Sales teams that need instant lead response and qualification
  • Operations teams processing invoices, forms or documents by hand
  • Businesses wanting an internal assistant that answers from company knowledge

Agentic AI Services

Use Cases

Prioritize agent workflows where autonomy can reduce manual work without increasing operational risk.

Agentic AI Services delivery in this phase is anchored around impact mapping, feasibility, risk control.

Agentic AI systems that plan, use tools, retrieve knowledge, and complete multi-step business tasks.

What we deliver

We design and deploy agentic AI workflows with task planning, tool calling, retrieval, memory, evaluation, governance, and human-in-loop controls for production use cases.

  • Use-case discovery and agent architecture for practical business outcomes.
  • Tool calling, RAG, memory, workflow orchestration, and permissions.
  • Evaluation, safety guardrails, observability, and human review loops.

How we work

We identify a narrow, high-value use case, define success metrics and connect only the data and tools it needs. A first version usually runs in a human-in-the-loop mode, where the agent drafts and your team approves.

We measure accuracy and time saved, refine prompts, retrieval and tools, and widen the agent's autonomy only where results justify it. Monitoring and evaluation continue after launch.

Typical timeline: 3 to 12 weeks based on agent complexity.

FAQ

What is the difference between an AI agent and a chatbot?

A chatbot answers within a script. An AI agent can understand open-ended requests, plan steps and use tools such as your CRM, order system or knowledge base to complete the task.

Is our data safe?

We use business-grade AI APIs, minimise the data shared, apply access controls and log actions. We review where data is processed and stored with you before building.

Which AI models do you use?

We choose models from providers such as Anthropic, OpenAI and Google, or open models, based on quality, speed, cost and data policies for your use case.

Can an AI agent work on WhatsApp?

Yes. Agents can answer and act through the WhatsApp Business Platform, with handover to your team when needed.

How do you stop the agent from making mistakes?

We ground answers in your approved data, restrict permissions, require approval for high-impact actions and evaluate outputs regularly.

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