Vivobot | Chatbot Platform
B2B Customer Care Platform — easy to use and always available
Situation
Vivo, Brazil's largest telecommunications provider, faced a critical challenge: their portfolio of 61,000 small and medium-sized business (SMBs) needed customer service automation.
Most SMBs operated with one person handling multiple roles: sales, operations, and customer service. Leaving customers waiting hours or even days for responses to simple questions.
The Market Gap, SMBs were caught between two options:
- Simple chatbot builders that were easy to set up but technically unreliable and couldn't scale
- Enterprise-grade AI platforms that were powerful but required specialized technical teams and significant investment to implement
Tasks
Design a chatbot platform that bridges the gap between simplicity and sophistication, enabling SMBs to build robust virtual assistants without technical expertise.
Primary Goals
- Understand SMB needs and constraints:
- Research common customer service pain points across SMBs
- Identify the actual technology literacy level of business owners
- Solve the dual problem:
- Create simple UX that non-technical users can master quickly
- Deliver enterprise-grade AI that scales and performs reliably
Actions
1. User Research
Talked to Vivo stakeholders and SMB customers to understand personas, technology literacy, and expectations.
- Business owners needed simple language over technical jargon
- WhatsApp was the essential communication channel for Brazilian SMBs
2. Design Strategy
Defined the complete ecosystem and how all platform components communicate with each other.
- Chatbot Builder: Define capabilities, Q&A setup, integration snippet
- Curator Dashboard: Analytics, unanswered questions, knowledge refinement
- Client Registry: Customer organization and conversation history
- Vivo Admin Platform: Add, edit, and delete 61,000 SMB accounts
3. Low-Fidelity
Validated user flows, navigation patterns, and content hierarchy through wireframes tested with a small group of SME stakeholders from Vivo.
- Transfer to human after 3 consecutive misunderstandings
4. High-Fidelity
Created the visual identity and component library, orchestrating with another Designer to deliver all experiences.
- Defined colors, typography, and components aligned with Vivo's brand
- Delivered 38+ screens across all platform components
- Daily critiques to ensure quality
Results
The platform was validated with a small group of SMB clients, proving concept and usability before a commercial disagreement between Vivo and IBM prevented the full launch. Despite not going live, the project delivered significant strategic value.
Immediate Impact
- Concept validated with real SMB users in controlled testing
- Demonstrated IBM's capability to deliver enterprise AI with simple UX
Long-Term
- Strengthened IBM-Vivo relationship and opened new conversations
- Sales pipeline opened for CP4D, OpenShift, and IBM Expert Labs