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Conversational AI

Deploy Intelligent Chatbots That Drive Engagement.

Automate customer support and supercharge sales with GPT-powered conversational AI agents.

AI Chatbot & Conversational Interface Mockup

The Challenge

Scaling customer support linearly requires massive headcount and costs. Customers expect immediate, accurate answers 24/7, and standard rule-based chatbots fail to understand context.

The NomsCode Solution

We build highly context-aware, LLM-driven chatbots that plug directly into your knowledge base. They understand user intent, converse naturally, and resolve complex queries autonomously.

What's Included

Contextual LLMs

GPT-4 powered conversational agents.

Knowledge Integration

Trained exclusively on your company documents.

Omnichannel Deployment

WhatsApp, Web, and Social Media integration.

Security & Guardrails

Strict prompt engineering to prevent hallucination.

RAG Architecture

Retrieval-Augmented Generation (RAG) grounds LLMs in your proprietary company data. We build secure vector databases that allow your chatbot to answer complex queries based entirely on your internal documents, without hallucinating.

  • Highly specialized approach tailored to your data
  • Seamless integration with existing infrastructure

WhatsApp Integration

Meet your customers where they are. We deploy conversational AI agents directly into WhatsApp, allowing users to book appointments, track orders, and get support natively through the messaging app.

  • Highly specialized approach tailored to your data
  • Seamless integration with existing infrastructure

Guardrails & Safety

Enterprise AI requires strict boundaries. We implement robust prompt engineering, output filtering, and topic-restriction layers so your chatbot stays on-brand and never divulges sensitive information.

  • Highly specialized approach tailored to your data
  • Seamless integration with existing infrastructure

Conversation Analytics

Understand how users interact with your agent. We build custom dashboards tracking user intents, automated resolution rates, fallback triggers, and overall customer satisfaction scores.

  • Highly specialized approach tailored to your data
  • Seamless integration with existing infrastructure

Our Process

1

Knowledge Extraction

Ingesting your PDFs, FAQs, and web data.

2

Agent Design

Defining the persona and response parameters.

3

RAG Implementation

Connecting the LLM to your specific data sources.

4

Testing & Launch

Beta testing conversational accuracy.

Investment Packages

Every project is unique. All packages are scoped and quoted after a free discovery call.

Starter

Custom Scope (Price Decided After Strategy Meeting)
  • GPT-4 powered chatbot
  • Up to 3 knowledge docs
  • Web embed widget
  • 2-week delivery
Get Quote

Advanced

Custom Scope (Price Decided After Strategy Meeting)
  • Multi-agent system
  • Unlimited knowledge base
  • Omnichannel (WhatsApp/Slack/CRM)
  • Custom LLM fine-tuning
  • Ongoing optimization
Get Quote

Featured Work

E-Commerce Support Bot

Automated 65% of Tier 1 support tickets for a retail client.

Real Estate Lead Gen

A conversational assistant that qualifies buyer leads 24/7.

Frequently Asked Questions

Can the chatbot transfer to a human?

Yes. We build seamless human-handoff triggers when the bot detects high-frustration or complex issues.

Does it learn over time?

Yes, our systems log failed queries which can be fed back into the knowledge base to improve future answers.

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Ready to Transform Your Business?

Book a free strategy session with our engineering team today.