Artificial intelligence is becoming increasingly important in the fiduciary sector. AI automates processes, speeds up evaluations and opens up new possibilities in analysis. Yet, despite all the technological dynamism, one key question remains: what role will people play in the fiduciary sector in the future?
One thing is clear: the changes are profound – and affect not only technologies, but above all working methods, skill requirements and client expectations.
Efficiency gains are changing the fundamentals
A large part of current developments is evident in the automation of data-intensive and repetitive tasks. Processes such as document processing, reconciliation work or plausibility checks can be made significantly more efficient. At the same time, modern systems make it possible to identify patterns more quickly and highlight discrepancies at an early stage.
However, these efficiency gains are only part of the story. For they change not only the speed but also the significance of individual tasks.
From Processing to Understanding
As automation increases, the focus of fiduciary work is shifting. Tasks that used to be time-consuming are taking a back seat. At the same time, analysis, contextualisation and advice are becoming increasingly important.
Added value is derived less and less from the mere processing of information, and more from its interpretation. Fiduciaries are increasingly becoming sparring partners who highlight interrelationships, develop scenarios and derive well-founded recommendations.
This development is also changing the requirements placed on professionals. In addition to sound technical expertise, the confident handling of data and digital tools is becoming central. What is crucial here is not only the application of AI, but also the ability to critically question results and interpret them correctly.
Responsibility in the use of AI
As great as the potential of AI is, it is equally important to use it in a considered manner. Issues such as data quality, data protection and the reliability of results are becoming increasingly important.
This is particularly true for generative models: results must be checked and validated. AI can provide support, but it cannot take on responsibility. Clear internal guidelines and quality control mechanisms are therefore essential to minimise risks whilst making the most of the opportunities.
New perspectives for business models
Increasing efficiency is also having an impact on existing billing models. As processes become faster and more automated, the traditional hourly model is increasingly reaching its limits.
Instead, the focus is shifting more strongly towards the value created. Value- and results-oriented models are gaining in importance – particularly in consultancy. This opens up an opportunity for trust companies to align their services more clearly with the added value for their clients.
People remain central
Despite all technological advances, one key constant remains: trust.
Clients expect not only accurate figures, but also guidance, reassurance and a personal assessment. Trust is built not by systems, but by people – and by the expertise they bring to the table.
Artificial intelligence will continue to transform the fiduciary sector. It makes processes more efficient and opens up new possibilities. But it does not replace human expertise – it enhances it.
Conclusion and Outlook
The future of the trust industry does not lie in choosing between people and machines, but in intelligently combining the two worlds. Those who make targeted use of technology whilst simultaneously strengthening their advisory expertise will gain a decisive competitive advantage in the long term.
Interview on the topic
Would you like to find out more about the impact of artificial intelligence on the trust industry? Read the interview with our COO, Urban Scherrer, in EXPERT FOCUS TREUHAND (March).
Author and expert
Urban Scherrer
Business Support
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Zurich
