The AM Tech Day is a major event for the Asset Management industry in France.
The 15th edition took place on Tuesday, October 8th, and attracted 960 professionals including more than 140 speakers and 100 partners.
For the 9th consecutive year, the AM TECH DAY AWARDS celebrate companies in the asset management sector that provide the most innovative customer services and technological solutions of the year.
Amundi Technology was awarded “The Most Promising Project Using Gen AI” for the Compliance Assistance tool.
Our success highlights not only the effectiveness of our Compliance Assistance tool but also the innovative capabilities of the ALTO Studio platform.
This achievement reflects our commitment to advancing compliance technology and demonstrates our ability to deliver scalable, cutting-edge solutions that meet the evolving needs of the industry.
Matthieu Keip, head of innovation at Amundi Technologie said
"Gen AI is emerging as a profoundly transformative adventure for our professions, offering us the opportunity to continually elevate the quality of service we provide to our clients. Beyond the current enthusiasm and the evident use cases of operational excellence, the real challenge lies in the adoption and reinvention of our processes. We are proud that the ALTO Studio platform embodies robustness, security, and excellence, while demonstrating its ability to deploy this type of innovative solution on a large scale, all while maintaining a high level of technological synergy for our professions and our clients."
What is the Compliance Assistance Project ?
It is a compliance and marketing tool, that uses Gen AI to analyze the compliance of a document against a defined set of rules, and the consistency of its content. For instance, GenAI enables to check that a marketing slides deck is consistent with the prospectus of the funds described in it.
The tool generates an analysis and a correction proposal.
GenAI assists the marketing teams by improving significantly the efficiency of the document analysis and correction process, saving time which is reallocated to more added value tasks.