Why AI is no longer optional in Finance
Artificial Intelligence (AI) is no longer just a promise for the future; it has become an immediate strategic tool in the financial sector. Gartner reports that companies that have already deployed at least one AI use case are currently exploring, on average, ten additional initiatives, and more than half (56 %) of finance departments plan to increase their investment in AI by at least 10 % over the next two years. This momentum should not be interpreted as a passing fad, but rather as an inevitable transformation that is already underway.
At the same time, a growing number of CFOs are understanding that the key lies not only in implementing technology, but in integrating a clear vision that defines where the financial function is headed in this new digital era.
1. The Sustained Rise of AI in Finance
The adoption of AI in finance has shown impressive growth between 2023 and 2024: it rose from 37 % to 58 % in financial functions. During that same period, the gap with other administrative functions narrowed significantly: in 2023, areas such as HR and legal had twice the level of AI adoption compared to Finance; by 2024, that disparity had virtually disappeared.
The most common use cases include:
- Intelligent Process Automation (44 %)
- Anomaly and Error Detection (39 %)
- Advanced Financial Analysis (28 %)
- Operational Support (27 %)
These data illustrate that the areas where AI is already delivering tangible value are clear, and they reflect a maturing trend in its adoption.
2. AI as a Strategic Ally and Enhancer of Financial Talent
Far from replacing financial teams, AI should be integrated as a collaborator – a “colleague” that frees up time and fosters human intelligence. Gartner recommends that financial teams train “data citizens” within the organization, meaning employees capable of interpreting, validating data, and collaborating with AI systems.
Instead of automating low-value tasks, AI can free up strategic resources for complex analysis, planning, and decision-making, empowering a finance function that operates with greater efficiency and relevance.
3. Financial Autonomy: From Automation to Intelligent Agents
The true frontier towards which the financial area is advancing is the autonomy. Gartner defines an autonomous finance function as one capable of operating using processes driven by self-learning software agents that optimize front-, middle-, and back-office operations in real time. It is projected that 64 % of CFOs believe this will become a reality before 2028.
Furthermore, according to Fortune, by 2028, 70 % of financial functions will use real-time AI analytics, including data from connected devices, paving the way for continuous, automated decision-making.
4. Essential Foundations for Effective AI Adoption
Successful AI adoption depends not only on technology, but on a solid foundation. Gartner proposes a structured framework that emphasizes:
- Development of internal AI and analytics competencies.
- Rigorous data automation: collection, correction, distribution.
- Financial platforms with integrated AI capabilities.
- Visible and communication-intensive leadership for change.
Furthermore, it is crucial to establish transparent governance mechanisms, traceability of decisions, and clear responsibilities. AI must always operate with human oversight, ensuring control and trust.
5. Real Risks and Challenges on the Path of Innovation
Adopting AI without a clear strategy can lead to cost overruns, loss of trust, and operational failures. Gartner emphasizes that many projects failed due to a lack of ROI, mismanaged expectations, or rigid structures. Furthermore, the difficulty in quantifying concrete results often discourages promising initiatives.
Furthermore, from an ethical and regulatory perspective, there are legitimate concerns regarding transparency, interpretability, and security in automated financial models, which can generate systemic risks if implemented without adequate controls.
6. The CFO's New Role: AI-Driven Value Architect
In this new scenario, the CFO can no longer limit themselves to simply being the guardian of the numbers. Gartner positions them as sponsor, Technical collaborator y innovation pioneer. CFOs should participate in:
- Define the business case for AI.
- Ensure data quality, access, and governance.
- Oversee proof of concepts (POCs) and evaluate results from the outset.
There has even been a cultural shift: according to Salesforce, only 4 % of CFOs today remain cautious about AI, while one-third are already adopting an aggressive strategy driven by clear improvements in ROI, productivity, and efficiency.
7. Conclusion: How are we supporting this transformation at Siglo BPO?
AI applied to finance is more than a tool: it's a lever for change, efficiency, and strategic vision. However, its success depends on being well-guided, governed, and aligned with the business.
At Siglo BPO, we accompany you on this journey through AI maturity diagnostics, adoption strategies, analytical talent development, and rigorous governance. Our approach combines technical advisory with direct integration to your ERP and regulatory alignment.
The financial function of the future is not a dream: it's being built today. And we can do it together, with intelligence, clarity, and control.
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