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Revenue Operations & Enterprise Systems
GTM Systems Fragmentation & AI Workflow Transformation
Unified fragmented revenue operations systems and established a governed AI-enabled GTM architecture.
Business Problem & Context
Disconnected systems created conflicting reports, duplicate customer records, inconsistent forecasting, and low trust in AI-generated recommendations.
Architecture & Strategy
To solve the challenges, a robust and scalable architecture was required. We prioritized decoupling services and introducing event-driven patterns.
Salesforce CRM
HubSpot Integration Layer
Customer Data Platform
Revenue Analytics Hub
AI Workflow Orchestration
Lead Lifecycle Framework
Data Governance Layer
Event-Driven Architecture Stack
Measurable Outcomes
Forecast Accuracy
Pipeline Integrity Score
Lead Conversion Rate
Data Quality Index
AI Recommendation Adoption
Revenue Attribution Accuracy
Sales Productivity
Core Tech Stack
Salesforce CRM
HubSpot Integration Layer
Customer Data Platform
Revenue Analytics Hub
AI Workflow Orchestration
Lead Lifecycle Framework
Data Governance Layer
Key Impact
Created a single source of truth for customer data, improved forecast reliability, and standardized AI-driven GTM workflows.