AI Chatbots & Conversational Agents
Deploy intelligent, 24/7 assistants that handle customer support, qualify leads,
and answer internal queries instantly—without sounding like a robot.
Beyond Simple “If-This-Then-That” Bots
Old-school chatbots were frustrating. They got stuck in loops and couldn’t understand context. The new generation of AI Chatbots, powered by Large Language Models (LLMs) like GPT-4 and Claude, are different. They understand nuance, intent, and your specific business data.
At Talpur.ai, we build custom AI agents that act as an extension of your team. Whether you need a customer-facing bot to resolve support tickets instantly or an internal “Knowledge Bot” that helps your employees find documents in seconds, we engineer solutions that are accurate, secure, and on-brand.
What We Build
Customer Support Agents
01
Resolve 80% of common queries instantly (order status, pricing, troubleshooting) and seamlessly hand off complex issues to human agents.
Lead Qualification Bots
02
Engage website visitors 24/7, ask qualifying questions, capture contact details, and book meetings directly into your calendar.
Internal Knowledge Bases
03
Connect the bot to your Google Drive, Notion, or Slack. Employees can ask, “How do I process a refund?” and get an instant, cited answer.
WhatsApp & SMS Bots
04
Meet your customers where they are with automated, intelligent conversations on their preferred messaging platforms.
Key Features
Natural Language Understanding
01
Our bots understand slang, typos, and complex questions—no rigid keyword commands required.
Custom Knowledge Training
02
We train the AI on your specific data (PDFs, website, past chat logs) so it knows your business inside out.
Omnichannel Deployment
03
Deploy the same intelligent agent across your Website, WhatsApp, Slack, and Microsoft Teams.
Action-Oriented
03
Our bots don’t just talk; they can take action—like updating a CRM, sending an email, or checking inventory levels.
Why Choose Talpur.ai?
We prioritize accuracy and safety. We implement strict “guardrails” to ensure your AI chatbot never hallucinates or promises things it shouldn’t. By combining advanced prompt engineering with robust backend automation (n8n/Make), we deliver chatbots that are not just conversational, but truly functional business tools.
Our Agentic AI Blueprint: The Four Pillars of Autonomy
Perception & Tool Use
The Agent continuously monitors its environment (databases, APIs, user input) and has access to a curated library of external tools. It perceives the current state and selects the right tool (or combination of tools) needed to advance toward its objective.
Planning & Decomposition
When given a high-level goal, the Agent uses its Large Language Model (LLM) core to break it down into a sequence of concrete, executable sub-tasks. It creates a dynamic “To-Do” list, managing dependencies and prioritizing steps.
Reflection & Self-Correction
After each action, the Agent critically evaluates the result against its expected outcome. If an action fails, or if new information changes the context, the Agent automatically revises its plan—a crucial feature that prevents the cascading errors common in traditional automation.