AI Conversational Partner: From Vision to Infrastructure
Industry
Digital Banking
Client
Nubank
Focus Area
AI Systems
Timeline
2025
Industry
Digital Banking
Client
Nubank
Focus Area
AI Systems
Timeline
2025
1. Overview
By 2025, Nubank’s conversational ecosystem had reached an inflection point.
Chat support, Pix automation, insights surfaces, and emerging AI features were evolving independently. Each initiative solved a local problem, but together they formed a fragmented landscape: multiple entry points, inconsistent behaviors, duplicated patterns, and unclear ownership.
At the same time, Nubank’s AI ambitions were accelerating. The company launched the Private Banker initiative to define the future of AI as a consumer-facing financial partner, unifying assistance, advice, and support into a single conversational layer.
I was one of four designers selected for the cross-functional taskforce responsible for shaping that long-term vision. After presenting the strategy to executive leadership in Q3 2025, the proposal was not only approved, it was accelerated.
This case describes how we translated vision into platform foundations.
By 2025, Nubank’s conversational ecosystem had reached an inflection point.
Chat support, Pix automation, insights surfaces, and emerging AI features were evolving independently. Each initiative solved a local problem, but together they formed a fragmented landscape: multiple entry points, inconsistent behaviors, duplicated patterns, and unclear ownership.
At the same time, Nubank’s AI ambitions were accelerating. The company launched the Private Banker initiative to define the future of AI as a consumer-facing financial partner, unifying assistance, advice, and support into a single conversational layer.
I was one of four designers selected for the cross-functional taskforce responsible for shaping that long-term vision. After presenting the strategy to executive leadership in Q3 2025, the proposal was not only approved, it was accelerated.
This case describes how we translated vision into platform foundations.
By 2025, Nubank’s conversational ecosystem had reached an inflection point.
Chat support, Pix automation, insights surfaces, and emerging AI features were evolving independently. Each initiative solved a local problem, but together they formed a fragmented landscape: multiple entry points, inconsistent behaviors, duplicated patterns, and unclear ownership.
At the same time, Nubank’s AI ambitions were accelerating. The company launched the Private Banker initiative to define the future of AI as a consumer-facing financial partner, unifying assistance, advice, and support into a single conversational layer.
I was one of four designers selected for the cross-functional taskforce responsible for shaping that long-term vision. After presenting the strategy to executive leadership in Q3 2025, the proposal was not only approved, it was accelerated.
This case describes how we translated vision into platform foundations.
How do we transform fragmented conversational features into a unified AI platform to be adopted company-wide?
2. Strategic Context
Before Private Banker, Nubank’s conversational touchpoints were growing organically:
Support chat flows
AI-powered Pix journeys
Insights experiences
Domain-specific conversational tools
From a user perspective, this created friction:
Inconsistent interaction patterns
Confusion about capabilities
Disjointed escalation paths
Redundant conversational structures
From an organizational perspective, it created design debt and slowed AI expansion.
Before Private Banker, Nubank’s conversational touchpoints were growing organically:
Support chat flows
AI-powered Pix journeys
Insights experiences
Domain-specific conversational tools
From a user perspective, this created friction:
Inconsistent interaction patterns
Confusion about capabilities
Disjointed escalation paths
Redundant conversational structures
From an organizational perspective, it created design debt and slowed AI expansion.
Before Private Banker, Nubank’s conversational touchpoints were growing organically:
Support chat flows
AI-powered Pix journeys
Insights experiences
Domain-specific conversational tools
From a user perspective, this created friction:
Inconsistent interaction patterns
Confusion about capabilities
Disjointed escalation paths
Redundant conversational structures
From an organizational perspective, it created design debt and slowed AI expansion.



3. Role & Scope
I was one of four designers in the taskforce and became a primary contributor to the foundational layer. My scope included:
Vision articulation
Platform primitives
Conversation stages
Governance models
Cross-BU collaboration
I was one of four designers in the taskforce and became a primary contributor to the foundational layer. My scope included:
Vision articulation
Platform primitives
Conversation stages
Governance models
Cross-BU collaboration
I was one of four designers in the taskforce and became a primary contributor to the foundational layer. My scope included:
Vision articulation
Platform primitives
Conversation stages
Governance models
Cross-BU collaboration
“He led ambiguous initiatives and translated vision into scalable experiences adopted across multiple products.”
Senior Product Manager
5. Trade-offs & Decisions
Vision vs Feasibility
After executive approval, the roadmap was accelerated so we had to translate a 12–18 month vision into near-term delivery without compromising architecture.
Critical Trade-offs
Speed vs Architectural Integrity
Customization vs Standardization
Autonomy vs Central Governance
Missteps & Corrections
Early abstractions left ownership gaps and duplicated logic then we clarified governance and documentation.
Vision vs Feasibility
After executive approval, the roadmap was accelerated so we had to translate a 12–18 month vision into near-term delivery without compromising architecture.
Critical Trade-offs
Speed vs Architectural Integrity
Customization vs Standardization
Autonomy vs Central Governance
Missteps & Corrections
Early abstractions left ownership gaps and duplicated logic then we clarified governance and documentation.
Vision vs Feasibility
After executive approval, the roadmap was accelerated so we had to translate a 12–18 month vision into near-term delivery without compromising architecture.
Critical Trade-offs
Speed vs Architectural Integrity
Customization vs Standardization
Autonomy vs Central Governance
Missteps & Corrections
Early abstractions left ownership gaps and duplicated logic then we clarified governance and documentation.









7. Experimentation
Accelerating the roadmap: P0 and P1
To balance ambition and feasibility, we structured delivery into phases:
P0: Foundational infrastructure
P1: Core agents and high-priority journeys
P2+: Advanced personalization and advisory layers
This roadmap allowed multiple BUs to contribute without compromising architectural coherence. The result was faster AI onboarding across teams and reduced duplication of effort.
Accelerating the roadmap: P0 and P1
To balance ambition and feasibility, we structured delivery into phases:
P0: Foundational infrastructure
P1: Core agents and high-priority journeys
P2+: Advanced personalization and advisory layers
This roadmap allowed multiple BUs to contribute without compromising architectural coherence. The result was faster AI onboarding across teams and reduced duplication of effort.
Accelerating the roadmap: P0 and P1
To balance ambition and feasibility, we structured delivery into phases:
P0: Foundational infrastructure
P1: Core agents and high-priority journeys
P2+: Advanced personalization and advisory layers
This roadmap allowed multiple BUs to contribute without compromising architectural coherence. The result was faster AI onboarding across teams and reduced duplication of effort.
8. Impact
Private Banker changed how teams approached conversation design. Instead of asking, “Can this feature use chat?”, teams began asking, “How does this integrate into the platform?”. Outcomes included:
Reduced design fragmentation
Accelerated AI experimentation
Improved cross-BU collaboration
Created a shared language around conversation design
Established reusable standards adopted company-wide
The platform became the reference architecture for conversational products.
Private Banker changed how teams approached conversation design. Instead of asking, “Can this feature use chat?”, teams began asking, “How does this integrate into the platform?”. Outcomes included:
Reduced design fragmentation
Accelerated AI experimentation
Improved cross-BU collaboration
Created a shared language around conversation design
Established reusable standards adopted company-wide
The platform became the reference architecture for conversational products.
Private Banker changed how teams approached conversation design. Instead of asking, “Can this feature use chat?”, teams began asking, “How does this integrate into the platform?”. Outcomes included:
Reduced design fragmentation
Accelerated AI experimentation
Improved cross-BU collaboration
Created a shared language around conversation design
Established reusable standards adopted company-wide
The platform became the reference architecture for conversational products.