case study
BotBuz conversational workflow platform case file.
BotBuz needed to turn technical chatbot setup into a visual workflow product that business teams could use across WhatsApp, Instagram, Facebook, and web conversations.
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the build
What the build actually covered.
workflow decisions
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Made conversation logic visible through drag-and-connect flow mapping.
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Centralized multi-channel messages so agents could preserve context.
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Designed handoff states around trust, continuity, and escalation clarity.
engineering scope
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Visual flow-builder UX.
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Multi-channel inbox structure.
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Automation trigger patterns.
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Analytics and reporting views.
related services
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AI-enabled automation
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Product engineering
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UX and product design
stack and patterns
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SaaS UX
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Automation workflows
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Conversational product design
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Analytics UX
product evidence
How conversation automation became usable for business teams.
The platform shifted chatbot setup from a technical configuration task into a visible workflow where support, marketing, and operations teams could build, monitor, and hand over conversations with confidence.
Visual flow builder.
Drag-and-connect nodes turn complex automation into something marketing and CS teams can map together — without waiting on engineering.
Unified multi-channel inbox.
WhatsApp, Instagram, Facebook, and web threads sit in one workspace, so agents stop losing context between tools.
Smart automation triggers.
Intent-based logic cuts setup time and keeps automation from misfiring on real customer conversations.
Bot-to-agent handover.
Context-aware escalations preserve the conversation, so customers never feel like they're starting over with a new person.