HarvirSingh
Background
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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.