Conditional flows in Agentic Botsify

In the previous version of Botsify, you had to build conversation logic manually using if/else conditions. Every possible path had to be created as a separate branch.

For example:

• If the user is interested in Sales → Send them to the Sales team.
• If the user needs Technical Support → Connect them with Support.
• If the user wants Billing → Show billing options.

This worked, but as your chatbot grew, managing all these branches became time-consuming and difficult.

What's Changed?

With Agentic Botsify, you no longer need to create conditional branches manually.

The AI understands the conversation, remembers what the user has already shared, and automatically follows the correct path based on that information.

Instead of building logic blocks, you simply describe your requirements in plain English.

Example Prompt

Create an agent that helps users choose the right product plan. If the user is a small business, ask about team size and goals, then recommend the Starter plan. If the user is a growing company, ask about their workflow and budget, then recommend the Business plan. If the user is an enterprise customer, collect company details and offer to schedule a demo. If you're unsure what the user needs, ask a follow-up question before continuing. 

That's it.

The AI will determine the user's intent, ask the appropriate questions, remember previous answers, and continue the conversation naturally—without requiring any manual if/else flow.

Real-World Examples

Lead Qualification

Create an agent that qualifies leads by asking about company size, budget, and use case. If the user has fewer than 10 employees, save the lead as a Starter plan prospect. If they have 10–100 employees, save the lead as a Business plan prospect. If they have more than 100 employees, save the lead as an Enterprise prospect and offer to schedule a demo in Google Calendar. 

Customer Support

Create an agent that handles support requests. If the user reports a billing issue, ask for the transaction ID and then use web search to check the latest policy or refund information. If the user reports a technical issue, ask them to upload a file such as a screenshot or log file, then use that file to help diagnose the problem. If the user reports a login issue, verify their email address first and then guide them through account recovery. 

Appointment Booking

Create an agent that books appointments. If the user wants a consultation, collect their preferred date and time, check availability, and save the booking details in Google Sheets. If the user is an existing customer, retrieve their previous booking details before scheduling. If the user is a new customer, collect their name, email, and phone number first. 

Research Assistant 

Create an agent that researches a topic for the user. If the user asks about a company, perform a web search and summarize the latest information. If the user asks for a comparison, gather information from multiple sources and present the key differences. If the user wants a report, save the findings in a file and share it with them. 

Why It's Better

Instead of designing dozens of decision trees, you simply explain the behavior you want.

The AI automatically:

• Understands the user's intent.
• Remembers information shared earlier in the conversation.
• Applies the correct business rules.
• Adapts naturally when the conversation changes direction.
• Continues using previously collected information without asking the same questions again.

Summary

Old Botsify

• Build every condition manually using if/else branches.
• Maintain complex conversation trees.
• Update multiple branches whenever business rules changed.

Agentic Botsify

• Describe your conditions in natural language.
• The AI decides which path to follow.
• User context is remembered automatically throughout the conversation.
• Complex conversational logic becomes much simpler to build and maintain.