
Client Success Stories
AI Strategy Consultation
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AI Use Case Prioritization for a Telecom
Identified and ranked over 20 AI opportunities by impact and feasibility. Helped executives focus budget on 3 high-ROI initiatives for immediate value. -
AI Business Case Development for Retail Expansion
Crafted a business case for AI-driven demand forecasting and supply chain optimization across multiple stores. -
C-Suite AI Enablement Workshop for Manufacturing Leadership
Ran strategic AI visioning sessions to align executives on competitive opportunities, change management, and internal capability building.
AI Solution Design & Implementation
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Fraud Detection Model for Fintech
Built and deployed a real-time machine learning model that flagged suspicious transactions with 95% accuracy, reducing fraud losses by 40%. -
Chatbot with Sentiment Analysis for Customer Service
Developed a multilingual AI chatbot with NLP-based intent recognition and emotion detection, reducing agent load by 60%.
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Demand Forecasting with External Data for FMCG
Integrated weather, promotions, and sales history into a forecasting engine. Helped optimize production planning and reduce waste.
AI Training & Adoption
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AI Upskilling Bootcamp for Business Teams
Delivered customized training for non-technical staff to identify and co-create AI use cases. Sparked 14 AI initiatives from within business units. -
Executive AI Literacy Series
Ran short, high-impact sessions to educate C-Suite on AI trends, risks, and strategy alignment — improving top-down support. -
AI Champions Program Across Global Divisions
Identified and trained domain-specific AI advocates within each department to drive adoption locally and serve as change agents.
AI Optimization & Scaling
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Multi-Plant AI Deployment for Predictive Maintenance
Standardized and scaled a pilot AI model across multiple manufacturing sites using a centralized AI Ops framework.
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Scaling NLP Models Across Languages
Optimized and deployed sentiment analysis models in 7 languages for a global brand, increasing insights across diverse markets.
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Performance Tuning of Recommendation System
Refactored algorithms and infrastructure for an e-commerce recommender, cutting latency by 50% and reducing compute cost by 30%.