Branchnode Technology
← AI Integration & Chatbots
AI ChatbotGPT-4 / ClaudeRAG

Custom AI Chatbot Development Company

AI chatbots that answer questions, capture leads, support customers, and integrate directly into your tools — built on GPT-4, Claude, and Gemini.

Most chatbots fail because they're scripted. Visitors ask something slightly outside the script and hit a dead end. We build AI chatbots powered by large language models — systems that understand natural language, pull answers from your actual knowledge base, and hand off to a human when the situation calls for it. The result is a chatbot your customers actually find useful, not one they click past to find a phone number.

See How It Works

An AI chatbot that answers real questions, qualifies leads, and transfers to a human when needed — all without scripted flows.

  • Understands natural language — no scripted flows
  • Answers from your actual content via RAG
  • Integrates with CRM, APIs, and helpdesks
  • Hands off to humans when needed, with full context

AI Assistant

Online
Hi! I can help with questions about pricing, features, or connect you with the right team. What do you need?
Do you integrate with Salesforce?
Yes — we connect your chatbot directly to Salesforce. It can create leads, look up account data, and log conversations automatically. Want to see a live example?
Yes, and can it hand off to a human?
Absolutely. When a visitor requests it — or when the bot detects a complex case — it transfers to a live agent with the full conversation attached.
Human handoff available
Type a message...

What We Build

Website Chatbot

An AI assistant embedded on your website that answers visitor questions in real time, guides them to the right page or product, and captures leads when they're ready to engage. Trained on your content — pricing pages, FAQs, product documentation — so answers are accurate, not generic.

Customer Support Chatbot

Resolve common support tickets automatically, 24/7. The bot handles password resets, order status, policy questions, and account lookups. When a case is too complex, it collects context and hands off to a live agent with the full conversation included.

Internal Knowledge-Base Chatbot

Give your team an AI assistant that answers questions about internal policies, HR procedures, product specs, and documentation. Trained on your company's own files and wikis. Useful for onboarding, sales enablement, and reducing repetitive internal questions.

RAG Chatbot — Document Q&A

RAG (Retrieval-Augmented Generation) lets the chatbot answer questions by searching your actual documents — PDFs, Word files, Notion databases, SharePoint sites — rather than making things up. Accurate, grounded answers from your own content, with citations.

Lead Capture Bot

Qualify visitors before they're ready to talk to sales. The bot collects name, email, company, and project details — then routes the lead to your CRM or sends a notification to your team. Works 24/7, on every page, without a form that kills conversion.

CRM & API Integration

The chatbot doesn't live in isolation. We connect it to Salesforce, HubSpot, Zendesk, Calendly, or your internal APIs so it can look up real data, create tickets, schedule calls, and take action — not just answer questions.

Built-In for Every Deployment

Human Handoff

When the AI reaches its limit or the visitor requests it, the conversation transfers seamlessly to a live agent with the full context included. No cold start for the agent, no frustration for the visitor.

Security & Privacy

We build with data minimization: the chatbot doesn't store conversation data unnecessarily. For regulated industries — healthcare, finance, legal — we configure on-premise or private cloud deployments that never send data to external AI APIs.

Multi-Language Support

GPT-4 and Claude handle over 90 languages out of the box. If your audience includes Arabic, French, Spanish, or any other language, the chatbot responds automatically in the language the visitor writes in.

Our Approach

1

Define Use Cases

We start by mapping the specific jobs the chatbot needs to do: what questions will it answer, what actions will it take, and exactly where does a human need to take over? Getting this right before building prevents expensive rework.

2

Knowledge Integration

We connect the chatbot to your data — your website, documents, knowledge base, CRM, or database — so it answers from your actual content, not generic AI responses. We handle the indexing, retrieval pipeline, and data refresh.

3

Build & Test

We build the chatbot and run it through hundreds of real-world test scenarios before deployment. Edge cases, failure modes, and out-of-scope questions are all handled explicitly — not left to chance.

4

Deploy & Monitor

We handle deployment — whether that's a chat widget on your website, a Slack or Teams integration, or a custom API endpoint. We monitor real conversations post-launch and tune based on what's actually happening.

Deliverables

  • Custom AI chatbot (web widget, API, or embedded)
  • Knowledge base integration & document indexing
  • CRM/API connection setup
  • Human handoff configuration
  • Conversation flow design & fallback logic
  • Testing & quality assurance
  • Deployment & post-launch monitoring

Technologies

GPT-4oClaude 3.5GeminiOpenAI APILangChainRAGPineconeWeaviateHubSpotSalesforceZendesk

Frequently Asked Questions

What makes your AI chatbots different from rule-based chatbots?
Rule-based chatbots follow decision trees. If a visitor asks something outside the script, they fail. Our chatbots use large language models (GPT-4, Claude) that understand natural language — so they handle unexpected questions, follow-ups, and context shifts without breaking.
What data can the chatbot be trained on?
We can train on any content you own: your website, PDFs, Word documents, Notion pages, Confluence wikis, SharePoint files, database records, or a custom knowledge base you provide. We handle the indexing and retrieval pipeline.
How do you prevent the chatbot from hallucinating or giving wrong answers?
We use RAG (Retrieval-Augmented Generation) — the model answers by retrieving relevant content from your documents first, then synthesizing a response. This grounds answers in real content rather than the model's general knowledge, significantly reducing hallucination.
Can the chatbot integrate with our CRM or helpdesk?
Yes. We integrate with Salesforce, HubSpot, Zendesk, Intercom, Freshdesk, Calendly, and most platforms that have APIs. The chatbot can create records, look up data, send notifications, and route leads — not just answer questions.
How does human handoff work?
The chatbot monitors for triggers — the visitor requests a human, the bot's confidence is low, or the topic requires human judgment. When triggered, it transfers the conversation to a live agent with the full context included so the agent doesn't start from scratch.
Is customer data secure in the chatbot?
Yes. We build with data minimization: the chatbot doesn't store conversation data unnecessarily. For regulated industries (healthcare, finance, legal), we can configure on-premise or private cloud deployments that never send data to third-party AI APIs.
What languages can the chatbot support?
GPT-4 and Claude handle over 90 languages out of the box. If your audience includes Arabic, French, Spanish, or any other language, the chatbot responds in the language the visitor writes in automatically.
What's the typical timeline and cost for a chatbot project?
Most chatbot builds take 3–6 weeks. Simple FAQ bots start around $2,500. Multi-source RAG chatbots with CRM integration typically range from $5,000 to $15,000. We scope each project individually based on your data sources and integrations.

Part of our AI Integration practice

Full AI Integration & Automation

Chatbots are one part of what we do. We also build full AI workflows, LLM pipelines, document processing systems, and AI agents that take autonomous action across your tools.

See all AI services →

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