In the world of family offices and wealth management, technology no longer makes the difference by its design or marketing promise, but by its ability to structure data, secure compliance and reinforce the quality of decisions.
Voted WealthTech Firm of the Year 2026, Karbonalpha has established itself in recent years as more than just a strategic infrastructure: sovereign aggregation, compliance by design, continuous traceability.
We spoke to Xavier Babaud-Dulac, Founding Partner and CEO, about this integrated approach to the business, the measurable role of AI and the profound transformation of wealth management.
This WealthTech Award recognizes your data-driven approach... what does it mean?
First and foremost, the WealthTech Award is a reward for our human investment and in-house R&D: building a sovereign SaaS infrastructure capable of structuring wealth data and compliance in order to manage the business in a single system, right through to aggregation, with traceability that can be exploited on a daily basis.
Our "data-driven" approach is not a slogan: it starts with data that is collected, standardized and provable within the regulatory framework from the outset (compliance by design), so as to be audit-ready on an ongoing basis.
The vote by the Hubfinance community (over 1,500 votes) recognizes this "unified business" approach. And it's backed up by facts: by the end of 2025, we will have aggregated €25 billion in assets with over 100 connected companies. A strong signal: sustainable performance starts with infrastructure.
In concrete terms, how do your tools transform risk analysis, performance and portfolio construction?
Our approach is threefold.
- Risk: sovereign aggregation consolidates multi-company data and reduces the grey area (positions, exposures, history), with actionable controls and alerts rather than manual extractions.
- Performance: we industrialize monitoring and documentation, from reporting to traceability of choices, in order to link a decision to its data, constraints (KYC/ESG/compliance) and evidence.
- Portfolio construction: drawing in particular on the expertise ofAllianz Global Investors, we provide "institutional-grade" building blocks adapted to family offices: model portfolios, allocation, scenarios and monitoring tools, with robust documentation.
The result: more rigorous management, reduced operational friction and a greater ability to devote time to investment decisions.
AI: where does it create real measurable value, and where does it remain overestimated?
AI creates measurable value when it reduces operational risk and increases quality: classifying/prioritizing alerts, detecting inconsistencies, speeding up information retrieval and evidence gathering, or assisting compliance monitoring in an explainable way.
It's overestimated as soon as it's sold as a "replacement": you can go faster, but confusing speed with quality means losing the art of the trade, and trust isn't built in a few minutes.
Another subject is too often underestimated: supplier risk. When an AI ingests ultra-sensitive documents, the key questions become: who hosts, who accesses, where does the data transit, what lock-in, what subcontractors, what auditability and what extraterritorial constraints?
Our line is simple: AI yes, assistant. AI no, replacement. And always within a framework of governance, sovereignty and responsibility.
Five years from now, will technology remain a support for analysis, or will it become a strategic co-pilot?
In five years' time, technology will no longer be a simple "analysis support": it will become an integrated co-pilot, more discreet but more present, because the market will converge towards two requirements: reliable data and demonstrable compliance on an ongoing basis (resilience/DORA, auditability, traceability).
The right model is not an AI that decides, but an AI that watches: continuous monitoring, weak signals, prioritized alerts, explanations and the ability to link each recommendation to factual elements.
This is exactly the direction we're taking: after unifying data + aggregation + compliance, we're deploying a predictive compliance monitoring AI brick to assist teams in following up cases, without shifting responsibility.
The more tech becomes part of everyday life, the more it needs to be tamed and governed: sovereignty, security, transparency. The human element will remain central, reinforced in its duty to advise and support decisions.
This article has been automatically translated using Breeze, powered by DeepL.