I lead Digital Customer Experience initiatives within Go-to-Market, Business Technology at Workday, focused on modernizing enterprise engagement platforms through identity integration, experimentation-first operating models, and data-informed personalization.

My personal research work operates at the intersection of enterprise architecture, applied AI systems, and behavioral intelligence research—building production-grade systems that learn from interaction signals and improve decision-making over time.

• AI-enabled behavioral intelligence systems
• Post-sale dark funnel detection and retention intelligence
• Cross-domain context preservation in distributed environments
• Zero trust governance models for AI agents
• Enterprise experimentation and adaptive personalization

Cross-domain context preservation architecture enabling behavioral continuity across distributed enterprise platforms.

Early-risk modeling framework identifying latent churn intent through engagement decay and behavioral signals.

Governance-first model for authentication, policy enforcement, and controlled autonomy in AI-driven workflows.

• Non-provisional patents filed in AI-driven behavioral intelligence systems
• Manuscripts under peer review
• Industry publications on AI-enabled enterprise transformation
• Speaker at major industry forums

My work bridges theory and production—ensuring intelligent systems are not only conceptualized but deployed at enterprise scale.

Adobe Experience Manager
Adobe Experience Platform
Salesforce
Okta Identity
AWS
Behavioral telemetry pipelines
Experimentation systems

I publish on AI in enterprise systems, retention modeling, behavioral analytics, and governance-first digital architecture.

Medium:
https://medium.com/@raviteja.surampudi

The next decade of enterprise platforms will be defined by adaptive intelligence systems that integrate identity, behavioral insight, and governed AI to anticipate needs before signals become explicit.

My work contributes to that shift.