Student consultant @ Slalom
Strategic Framework DevelopmentDeveloped a four-pillar strategic framework for Slalom's AI offerings, leveraging competitive analysis and revenue modeling. This framework provides clear, actionable recommendations across the healthcare, retail, and energy sectors, designed to help the firm unlock new revenue streams and enhance its competitive edge.
Competitive Intelligence & Market OpportunityConducted a deep-dive analysis of the AI strategies and investments of major consulting firms, including Deloitte, PwC, Accenture, Bain & Company, and McKinsey. This research uncovered a key market opportunity:
Identified that competitors primarily rely on traditional fixed-fee and Time & Materials (T&M) models.
Demonstrated a clear opening for Slalom to differentiate itself by expanding its more scalable subscription and licensing models, creating a distinct competitive advantage.
Client Engagement & Delivery ModelProposed an adaptive "Build-Transfer-Support" methodology that leverages a transparent Time and Materials (T&M) model. This strategy is designed to provide clients with a cost-effective and scalable approach to AI consulting, building confidence and fostering long-term, trust-based relationships.