Intelligent chatbots for sales, support and lead generation.
A chatbot trained on your real product documentation, FAQs and brand voice handles support and qualification far better than a generic rules-based decision tree. We scope the right chatbot type for your use case, train it on your content and deploy across web, WhatsApp or Messenger.
5+
Platforms & tools mastered
+53%
Avg engagement/conversion lift
4
Core capability areas covered
14-day
Post-launch support window
What We Do
Amplipath AI Chatbot Development services
Your strategy is customized around your market, digital maturity, commercial goals and existing systems rather than being forced into a generic checklist.
01
Built around your chatbot Types
Rather than a generic starting point, we build aI Chatbot Development strategy directly from your chatbot Types needs — Rules-based (decision tree), LLM-powered (conversational AI), Hybrid (rules + AI fallback) — so the foundation is right from day one.
02
Specialist execution, real tools
Hands-on delivery is built on OpenAI API, Anthropic Claude API, WhatsApp Business API, Voiceflow, with every decision informed by real aI Models considerations — OpenAI GPT-4/5, Anthropic Claude, Google Gemini.
03
Transparent, KPI-tied reporting
Results are tracked monthly against the metrics that matter for aI Chatbot Development, with concrete deliverables like a chatbot scope & conversation flow design kept visible throughout the engagement.
Deliverables
What can be included in your engagement
Final deliverables depend on your scope, but a typical engagement can combine the strategy, implementation and measurement components below.
✓
A chatbot scope & conversation flow design
✓
A built and trained chatbot (rules-based or LLM-powered)
Rules-based (decision tree)LLM-powered (conversational AI)Hybrid (rules + AI fallback)
AI Models
OpenAI GPT-4/5Anthropic ClaudeGoogle Gemini
Deployment Channels
Website widgetWhatsApp Business APIFacebook MessengerInstagram DM
Training Data Sources
Product/service documentationFAQ contentPast support conversationsBrand voice guidelines
Frequently Asked Questions
AI Chatbot Development FAQs
The chatbot can retrieve information from approved website pages, documents, product records or knowledge-base articles. Content ownership and update procedures must be established so obsolete information does not remain available to customers.
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