Pallav coleads our tech services work in North America. In this role, he helps leading services players on growth, go-to-market model design, margin improvement, and AI transformation topics.
In addition, Pallav works with leading organizations across industries to reimagine their businesses with AI and to drive tangible value creation leveraging agentic AI. His teams bring unique strategies and tools to derive meaningful insights from data and then leverage those insights into competitive advantage. His areas of expertise include using AI agents to transform core business processes, setting agentic AI factory within organizations to accelerate AI implementation, applying analytics to drive sound pricing decisions, boosting returns on marketing spending, and driving successful customer acquisition and retention.
Examples of his work include:
- helping a leading healthcare services player on a broad-based agentic transformation; the effort covered deploying multiple agentic systems across customer care, claims management, and cash posting; estimated impact of over 40 percent cost reduction with a reimagined business process leveraging agentic capabilities
- working with a leading tech player in transforming the marketing function with agents; the effort identified agentic initiatives to manage $1.2 billion in marketing spend while driving a threefold coverage increase
- working with a leading utilities back-office services player to reimagine the entire business with agents and to build a road map for a broad-based agentic transformation; the effort identified more than $200 million in EBITDA expansion through agentic initiatives
- driving a comprehensive big data and analytics transformation for a leading high-tech player; effort identified more than $500 million in opportunity across more than ten use cases, such as assortment and promotion optimization, marketing-spending optimization, and redesigning the product portfolio
- working with a leading telecom carrier in Europe to optimize handset pricing; the effort included quantifying price elasticity and then deriving insights to guide pricing, promotions, and portfolio decisions across key markets
- supporting a leading operator in setting up big data and analytics capabilities for base management; establishing microsegments and personalizing offers for each segment, leading to a significant reduction in customer churn
- optimizing advertising spending across products, designated media areas, and media vehicles for a top advertiser; the effort identified an efficiency improvement in spending of more than 5 percent.
