Ruby Sahay

I believe the future of finance is defined by decision intelligence embedded directly into daily operations, not by faster reporting or incremental automation. My focus is on building finance-forward organizations that proactively sense revenue constraints, margin pressure, and execution risk before they materialize in results. This includes AI-native platforms that combine predictive forecasting, sensitivity and scenario modeling, LLM-powered contract and document intelligence, and agent-assisted workflows to explain not just what is happening, but why—and what to do next. By shifting finance from retrospective variance analysis to forward-looking constraint and risk sensing, these capabilities enable leaders to test decisions, understand trade-offs, and act with confidence in dynamic market conditions. The outcome is a finance function that evolves from control and reporting to proactive revenue stewardship and strategic decision partnership. If you’re an investor, executive, or builder interested in AI with accountability, agents with guardrails, and transformation that delivers real ROI—not hype, I enjoy conversations where ambition meets execution. I lead an autonomous finance organization focusing on decision intelligence and converting emerging technology into repeatable, enterprise-scale ROI. My work involves delivering AI agents, LLM-powered revenue intelligence, and predictive finance platforms embedded into core business processes. I lead global teams of 110+ professionals and steward $28M+ in assets transforming data into governed, decision-ready insight. My teams have built enterprise MLOps and predictive revenue capabilities that shift finance from reactive reporting to forward-looking risk and performance sensing. This work has driven measurable outcomes and earned external recognition, including the AFP Innovation Award.