Madhusudhan M.

Running end-to-end AI transformation engagements for enterprise clients. I lead discovery workshops to identify the highest-impact AI use case, build ROI-grounded business cases, coordinate with engineering teams on LLM/RAG deployment, measure before/after impact, and present expansion roadmaps to senior leadership. Recent delivery: RAG-powered knowledge product for a life sciences client — time-to-productivity cut from 6 weeks to 2 weeks, 75% adoption among target users.

Owned the enterprise AI transformation portfolio across 36 business units, 9,000 users, and 4 countries for a €1.27B conglomerate. Secured C-suite sponsorship through business-case workshops and ROI dashboards. Deployed an LLM-powered translation pipeline across 8 languages — drove adoption from 5% to 90% in 45 days, reduced content costs by ~90%, and recovered 9,000+ productivity hours annually. Also delivered an ML-powered pricing tool to 700+ sales professionals ($14M revenue impact) and an AI-enabled onboarding platform (ramp-up time halved, €79K annual savings).

Led enterprise-wide digital transformation in partnership with McKinsey, executive leadership, and the PMO. Managed a portfolio of three digital platforms (CRM, supply chain, loyalty) and a team of 4 managers. Rescued a failed CRM deployment (1,600 users) — ran field discovery, diagnosed 22 product gaps, drove 100% adoption in 4 weeks with €3.6M pipeline impact. Secured stakeholder buy-in for a demand forecasting platform across 500+ outlets through ROI-focused workshops — reduced stock-outs by 50%.