Adopting AI in finance raises real questions: where do you start, which processes are actually ready for it, and how do you get finance teams to trust and use it?
In this webinar, our experts Salma Ghersi (CPA - Sr. Manager Business Transformation) and Turan Ozer (Head of EPM Practice & US Operations) walked through a concrete demonstration of how Pigment brings AI into the core of the finance function, covering planning, consolidation, and reporting in one platform. Rather than a high-level pitch, this session was built around what it actually looks like in practice, including the constraints, trade-offs, and outcomes that matter to CFOs, controllers, and FP&A teams.
Finance teams are under pressure to do more with less, faster. AI has a real role to play in improving forecast accuracy, streamlining consolidation, and enabling real-time decision-making. But the gap between "AI strategy" and operational impact is where most initiatives stall.
A successful AI deployment in finance requires more than a good model. It requires clean, reliable data, alignment between finance and tech teams, strong governance, and tools that fit into how finance teams actually work.
A powerful platform is not enough on its own. What matters is whether it becomes part of how your team operates day to day.
In this session, we addressed the practical challenges finance teams face when modernizing their stack:
In finance, the difference between a pilot and real transformation comes down to adoption, integration, and whether the tool works for the people using it every day.
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