Setting the Vision for AI-Powered IT Finance
The pace of business change demands that IT and finance evolve together. Artificial Intelligence (AI) is no longer a futuristic concept—it is actively reshaping how IT financial management operates today, enabling organizations to achieve quicker insights, leaner operations, and sharper strategic alignment.
In a four-part webinar series ' AI for the IT Finance Practice,' market strategist Eveline Oehrlich brings together Nancy Braun, a recognized thought leader and expert in IT finance transformation, and myself, Dr. Alexander Becker, COO of Serviceware and a long-time leader in business strategy alignment with a focus on Technology Business Management (TBM), IT financial management (ITFM) and FinOps.
In the first session of this four-part series, we explore how AI is redefining the role of IT finance - from a back-office function focused on control and reporting to a proactive, insight-driven strategic advisor that shapes business decisions. Watch video to learn more...
AI equips IT finance teams with tools to automate data entry, streamline reporting, and focus on value creation. Instead of closing the books and looking backward, organizations can leverage AI models for predictive analytics—forecasting spend patterns, projecting ROI, and identifying optimization opportunities before they occur.
Key shifts include:
As Nancy Braun describes, AI helps IT finance "move at the speed of business"—turning raw data into real-time insight and empowering teams to guide technology investment decisions collaboratively with business leaders.
AI won’t eliminate finance roles—however it will transform them. Budget coordinators and cost modelers become analysts and advisors, focusing on interpretation, scenario modeling, and strategic business conversations. This will require upskilling, mindset evolution, and leadership investment to free teams from repetitive work and enable true partnership across departments.
Expected outcomes:
Let me put it into one sentence: “AI flips the pyramid—automating the base layer of repetitive work so teams can spend time advising rather than reconciling.”
While global AI adoption in finance has risen sharply—from 37% in 2023 to nearly 60% by 2025—active use in IT finance remains limited. Most organizations are still in exploratory stages, experimenting with pilots and building internal business cases. Barriers include data readiness, process maturity, and organizational capacity. Yet leading CIOs and IT controllers are recognizing that early investment yields disproportionate benefit in analytical agility and business responsiveness.
Adoption of AI in IT finance delivers measurable impact in four areas:
Real transformation begins when leadership commits to creating time for experimentation, piloting new approaches, and investing in workforce upskilling. The rewards are not just operational—they redefine how finance supports business strategy.
Download it and start assessing your organization’s readiness for the next evolution of IT finance.
Connect with Nancy Braun and myself Dr. Alexander Becker, on LinkedIn for thought leadership insights, free readiness assessments, and further discussion about implementing AI in IT Financial Management.