CFOs are moving past initial AI experiments, but scaling these technologies across their organizations presents new challenges as costs rise and the range of available tools expands, according to Lilac Schoenbeck, SVP of Quadient Digital. “The first mile is a very quick mile with AI,” she said, noting that while early experimentation can feel straightforward, the real difficulty begins when organizations try to expand implementation.
The Build-versus-Buy Dilemma
For businesses evaluating AI tools, the decision to build custom solutions or purchase existing ones often depends on the uniqueness of their processes and data, Schoenbeck explained. She emphasized that certain workflows and data types are “quirky to you, and you can train and build your own AI to make sense of that data with all of the house rules that are appropriate for your organization.”
Larger organizations face additional complexity due to siloed systems from past acquisitions, she said. This fragmentation complicates AI integration. The choice between building and buying ultimately hinges on whether the finance team wants to operate as a software development shop or rely on external experts, Schoenbeck noted.
Cost Considerations and Budgeting Challenges
Finance leaders are increasingly aware that AI costs often exceed initial expectations, requiring careful resource management to realize value, Schoenbeck observed. CFOs must balance rising expenses against potential benefits, ensuring budgets account for ongoing operational needs rather than just initial setup. This shift demands a more strategic approach to AI investment.
CFO as Customer Liaison
Executives should recognize that CFOs often serve as key points of contact with customers, even if their role isn’t traditionally viewed as customer-facing. “We don’t typically think of a CFO’s office as managing a customer relationship, but to a great extent they are,” Schoenbeck said. AI can help map the connection between financial operations and customer outcomes, revealing insights into upsell potential, churn, and sentiment.
Schoenbeck, who oversees R&D and product management at Quadient after joining the company in October 2025, brings extensive experience from her tenure at Rocket Software. Her perspective reflects a broader trend where CFOs must adapt to evolving technology environments while managing both internal efficiency and external stakeholder relationships.
Career Background in B2B Software Leadership
Schoenbeck’s career has centered on B2B software, specializing in solutions for CIO and CFO organizations. This focus informs her approach to financial technology challenges. At Quadient, she now leads R&D, product management, marketing, and customer support as SVP, having joined the France-based firm in October 2025. Her previous role as VP of business transformation at Rocket Software further demonstrates her leadership in enterprise software.
