Your 30-day roadmap for AI implementation

Transform your finance operations in just 30 days

Rippling and Sowmya's systematic AI deployment framework

Rippling partnered with ex-OpenAI Controller Sowmya Ranganathan to create a structured 30-day roadmap that addresses AI transformation across three critical dimensions: process efficiency, capability augmentation, and model acceleration. Rather than random tool adoption, this framework prioritises high-impact opportunities, establishes authoritative data sources, and creates measurable success criteria before any implementation begins.

The problem with traditional finance transformation

Most finance teams approach AI adoption reactively, implementing scattered point solutions without strategic planning or proper data foundations. This piecemeal approach leads to underwhelming results, duplicated efforts across departments, and missed opportunities to leverage AI's transformative potential. Finance teams end up with fragmented tools that create more complexity rather than the efficiency gains they were promised.

Turn AI experiments into systematic competitive advantages

By following this structured approach, finance teams move beyond vendor demo purgatory into measurable transformation. The roadmap includes specific timelines for data preparation, tool evaluation, and success metrics, ensuring AI initiatives deliver concrete results like automated commentary generation, enhanced anomaly detection, and accelerated model creation. This systematic deployment turns AI from a buzzword into a documented source of operational advantage.