Customer Support 

Answer FAQs about services, pricing, shipping, and policies. 

Lead Generation 

Collect contact information and qualify prospects. 

Appointment Scheduling 

Help users book consultations or demos. 

Product Recommendations 

Suggest relevant products or services. 

Order Tracking 

Provide real-time order or ticket status. 

Internal Knowledge Assistants 

Support employees with documentation and processes. 

Step 1: Define Your Chatbot Goals 

Before development begins, identify what you want the chatbot to achieve. 

Ask questions such as: 

• Should it answer support questions?  

• Should it generate leads?  

• Should it book appointments?  

• Should it assist existing customers?  

• Should it integrate with your CRM?  

Clear goals help shape the bot’s behavior and functionality. 

Step 2: Gather Your Data 

An AI chatbot is only as useful as the information it can access. 

Common data sources include: 

• Website content  

• FAQs  

• Product documentation  

• Support articles  

• PDFs  

• Internal knowledge bases  

The more relevant and accurate your data, the better the responses. 

Step 3: Choose the Right AI Model 

You can build chatbots using large language models (LLMs) and supporting tools. 

Typical architecture includes: 

• A language model for generating responses  

• Retrieval systems to access your business content  

• Conversation memory for context  

• Safety and moderation controls  

A custom implementation from CodeArrest ensures the chatbot aligns with your business requirements and security standards. 

Step 4: Design the Conversation Experience 

A great chatbot should feel helpful and natural. 

Consider: 

• Welcome messages  

• Suggested prompts  

• Escalation to human support  

• Contact form fallback  

• Brand tone and voice  

Example Welcome Message: 

“Hi! I’m here to answer your questions about our services and help you find the right solution.” 

Step 5: Build the Backend Logic 

The backend handles: 

• User messages  

• Prompt construction  

• Data retrieval  

• Response generation  

• Logging and analytics  

Additional capabilities may include: 

• CRM integration  

• Email notifications  

• Ticket creation  

• Appointment scheduling  

Step 6: Create the Chat Widget 

The frontend widget is the interface users interact with on your website. 

Important design features: 

• Mobile-friendly layout  

• Fast loading  

• Minimize/maximize controls  

• Typing indicators  

• Conversation history  

A clean, unobtrusive design encourages engagement. 

Step 7: Embed the Chatbot into Your Website 

Once the widget is ready, it can be added to your website using a simple script. 

Typical Embedding Methods: 

• JavaScript snippet  

• Plugin for CMS platforms  

• Custom component in web applications  

The chatbot can be placed sitewide or only on key pages such as: 

• Home page  

• Pricing page  

• Contact page  

• Product pages  

Step 8: Test Thoroughly 

Before launch, test the chatbot for: 

• Accuracy of responses  

• Handling of unclear questions  

• Mobile usability  

• Performance  

• Escalation behavior  

QA teams at CodeArrest ensure the chatbot is reliable and user-friendly before deployment. 

Step 9: Monitor and Improve 

Launching the chatbot is only the beginning. 

Track: 

• Number of conversations  

• Resolution rate  

• Leads generated  

• Common unanswered questions  

• User satisfaction  

Use these insights to refine prompts, expand knowledge, and improve results.