As finance leaders take on broader responsibilities across strategy, technology, and operations, many organizations are re-evaluating how data, analytics, and artificial intelligence can better support decision-making and performance.
In response to these evolving demands, The Alliance Group has launched a new AI & Data Analytics Practice, led by Christina Gadrinab. The practice is focused on helping finance organizations operationalize data and AI capabilities in a way that aligns with business priorities, regulatory expectations, and existing finance processes.
Why Now: The Evolving Office of the CFO
The launch of the new AI & Data Analytics practice at Alliance reflects a broader trend across the Office of the CFO, where leaders are increasingly expected to deliver real-time insights, support enterprise-wide transformation initiatives, and navigate growing volumes of data across fragmented systems. At the same time, many organizations are still working to bridge gaps between data availability, process maturity, and the practical application of AI.
“CFOs are being asked to take on a more strategic role within the business, while still maintaining the rigor and control expected of the finance function,” said Ed Barrow, CEO of Alliance. “That combination is driving a need for more connected data, more efficient processes, and thoughtful adoption of analytics and AI.”
Common Challenges Facing Finance Organizations
Despite growing interest in AI and analytics, many finance teams face similar barriers to adoption:
- Manual reporting processes that limit speed and accuracy
- Inconsistent data across systems that undermines decision-making
- Uncertainty around where AI can deliver meaningful and measurable value
These challenges are exactly what Alliance’s new practice is designed to address through a combination of foundational improvements and targeted use cases for automation, advanced analytics, and AI.
What the AI & Data Analytics Practice Does
Alliance’s AI & Data Analytics Practice helps finance organizations move from data complexity to actionable insight.
Areas of focus include:
- Assessing AI Readiness by evaluating data, processes, systems, and organizational alignment to identify gaps and define what is needed to effectively implement and scale AI
- Streamlining finance processes through automation to reduce manual effort
- Improving visibility and reporting across multiple systems and data sources
- Identifying practical AI applications that support cost efficiency and scalability
- Helping clients prioritize their AI roadmap and begin demonstrating value
- Supporting governance, controls, and risk management in AI adoption
Meet the Practice Leader: Christina Gadrinab
The AI & Data Analytics practice is led by Christina Gadrinab, who brings experience advising organizations on data strategy, analytics, and technology-enabled transformation, with a focus on aligning technical capabilities to measurable business outcomes.
Part of a Broader Commitment to the Office of the CFO
The launch of the AI & Data Analytics Practice is part of Alliance’s broader effort to expand capabilities supporting the Office of the CFO, particularly as finance teams continue to balance operational demands with increasing expectations around strategic insight and innovation.
To learn more about how Alliance can help your organization build AI and analytics capabilities within the finance function, visit www.thealliancegroup.com/contact.
