Human Intelligence vs Artificial Intelligence
AI in Finance is advancing faster than ever, intensifying the pressure to deliver more with less. The real question is not how much efficiency we can gain, but how we ensure human judgment, creativity and expertise remain at the centre.
For the European Union the role of the human being is clear. In 2024 the EU Artificial Intelligence Act entered into force and was further adjusted in 2026. It is the world's first comprehensive legal framework to regulate artificial intelligence based on the specific risks it poses to society. The EU emphasises transparency: people should know when AI is involved, when decisions affect them, and who is responsible and that remains a human.
At the same time, AI is not a substitute for human expertise. A critical mindset remains essential. The key question is not how AI can replace people, but how it can support them. From that perspective, AI acts as an extra set of eyes, helping professionals work more effectively while leaving final judgment firmly in human hands.
Going too far in the efficiency race
In many organisations, AI initiatives are primarily driven by the promise of greater efficiency. Automating routine tasks allows teams to achieve more with less effort and frees up valuable time. Yet an important question often remains unanswered: what should be done with that newly created capacity? And what expectations should organisations set around it?
How to deploy AI in ways that enable people to become more capable, more effective, and more valuable. The organizations that succeed will not be those with the leanest workforces, but those that understand what is required on the human side to make AI truly deliver value.
People are not designed to spend every hour performing at maximum intensity. The real value of AI lies not in pushing employees harder, but in creating space for them to contribute where they add the most value. Finance professionals can focus more on applying judgment, sharing expertise, challenging assumptions and supporting colleagues. In that sense, AI should be seen as a sparring partner, an additional source of insight and a catalyst for better decision-making.
Don’t just tell people where you’re headed, show them how you plan to get there.
Successfully deploying AI in Finance in your organization
Today, AI adoption is everybody's priority and nobody's plan. Although organizations are taking steps to embrace AI in Finance, many initiatives remain ad hoc and unstructured. The familiar "spaghetti" of unmanaged Excel sheets and Power BI dashboards is rapidly evolving into an AI spaghetti of fragmented data and unmonitored models. Data readiness is one of the prerequisites for taking further steps in the field of AI in Finance and without proper governance, quality suffers when anyone can deploy these tools without oversight.
Alternatively, organizations can choose to encourage organic experimentation: letting innovation emerge naturally from the ground up. However, this approach requires clear guardrails. The critical challenge is establishing firm agreements around experimentation while continuously measuring performance and learning from the results. To manage this balance, organizations must rely on human leadership to guide training, coaching, and quality control.
Successfully deploying AI in finance requires upfront investment in both people and infrastructure, meaning immediate efficiency gains are rare. Advancing your organization's AI maturity and learning to use these tools effectively demands initial time and effort before long-term benefits materialize. Ultimately, the goal is total operational improvement, not just immediate cost-cutting.
Achieving this requires a strategic approach to workforce planning. Should organizations bring in new, specialized talent, or focus on upskilling their existing teams? As with every major technological shift, some roles will evolve while others may disappear. What will become increasingly valuable are critical thinking skills and practical AI competencies, such as prompt engineering, which have a direct impact on the quality of AI-generated outcomes.
Equally important is bringing employees along on this journey. For many people and organizations, AI represents a significant change, and meaningful impact can only be achieved through engagement, understanding, and active involvement. Don’t just tell people where you’re headed, show them how you plan to get there.
A third space to enhance both productivity and well-being
For finance professionals to evolve successfully alongside AI, technology must be embraced as an intellectual sparring partner rather than a simple automation tool. While routine reporting will become increasingly automated, the human element remains irreplaceable for strategic interpretation and critical oversight.
Achieving this transformation demands that AI be fully integrated into a broader organizational strategy, guiding both the initial decision to adopt and the ongoing implementation framework. Ultimately, finance leaders must challenge existing norms, share best practices across departments, and proactively redefine their evolving role in an AI-driven ecosystem.
The people renaissance enabled by AI is not about doing more, but about reclaiming cognitive room for better work. As automation takes over routine tasks, organizations should resist the temptation to fill every freed-up moment with new demands. People need time to reflect, learn, and recharge. Professionals need a mental "third space", a headspace completely separate from routine execution or personal obligations. This isn't necessarily a physical location, but a mental sanctuary to pause, contemplate, challenge assumptions, and generate brilliant ideas. If AI is to enhance both productivity and decision-making, its ultimate value lies in creating that cognitive space, not eliminating it.
How TriFinance can support your organization
TriFinance helps finance teams make AI in Finance tangible and business valuable. We combine deep finance expertise with a hands-on approach to aligning people, processes, and systems, which is exactly where most AI projects in finance fail. Our team drives impact across the entire execution cycle. We do not only align people, processes and systems we also have our transformation expertise in which we guide people/teams/organisations through the transformation AI is occurring today. From deploying a pragmatic first use case to scaling an organization-wide roadmap, we ensure AI becomes a lasting competitive advantage.
Triggered? Read more on our approach:
