Measuring for AI Success in Finance: Emagia’s Two-Part White Paper Series

We were honoured to have Thomas Dobis, Emagia’s VP for Europe, join us at our recent General Assembly in Rhodes. His insights into AI-driven finance transformation were both timely and impactful. In this blog, we share both parts of Emagia’s white paper series authored by Tom, which outline a powerful framework for measuring and optimizing finance operations in the AI era.

In this two-part white paper, we’ve explored the strategic imperative for finance leaders to embrace artificial intelligence—not just as a technology initiative, but as a structured, metrics-driven transformation of the entire Order-to-Cash (O2C) function.

• Part One focused on the why—highlighting the urgency of moving beyond legacy systems and siloed automation into a more intelligent, AI-powered future. It outlined the foundational role of roadmaps, baseline metrics, and a clear performance framework. We introduced the concept of a Digital POEM (Projects, Outcomes, Enablers, and Measurement) as a practical tool for designing and managing transformation with rigor and purpose. The message was clear: without a strong performance baseline and roadmap, AI  adoption risks underdelivering or misfiring entirely.

• Part Two focused on the how—presenting Emagia’s proprietary metrics and transformation system (CCOATS) as a blueprint for  measuring success in this new environment. We introduced six forward-looking KPIs—ERG, BIRT, CEP, OCED, WCOC, and CSAAD - that move beyond traditional finance metrics and are purpose-built to assess AI’s real impact on working capital, risk, overhead, and customer satisfaction.

These indicators enable finance leaders to build, track, and evolve their Autonomous Finance IQ—a measurable signal of digital maturity, value creation, and continuous performance improvement.

Together, these two parts offer finance professionals a new mindset and measurement model for AI transformation. They provide a unified lens to align people, processes, and platforms under a single goal: unlocking strategic advantage through data-driven, AIenabled

finance operations.

As we move deeper into 2025 and beyond, success will not be defined solely by technology adoption—but by the discipline with which we measure its impact. Only then will financial leaders using Autonomous Finance solutions know the art of the possible with Artificial Intelligence.

You can download white papers here below:

Source: Emagia