TSAM London: Kurtosys on AI, Data Quality, and Operational Efficiency in Investor Communications

Why It Matters

By automating data validation and accelerating rollout, Kurtosys helps investment managers cut costs, mitigate risk, and deliver superior investor experiences—critical advantages in today’s data‑driven financial landscape.

Key Takeaways

• Clients adopt cloud warehouses to improve investor communication data quality
• Kurtosys leverages AI to detect data issues before client delivery
• Focus on operational efficiency enables staff to do more with less
• Faster implementation reduces ROI timeline for investment managers
• Partnership ensures governance, architecture align with industry best practices

Summary

The video outlines Kurtosys’ role in modernizing investor communications for asset managers, emphasizing a shift toward cloud‑based data warehouses and AI‑driven quality controls. It explains how firms are tackling fragmented data, operational bottlenecks, and the need to present a premium image to investors. Key insights include the deployment of artificial intelligence to flag data anomalies before reports reach clients, and a focus on streamlining workflows so existing staff can handle higher volumes with fewer resources. Kurtosys also stresses rapid time‑to‑value, noting that shorter implementation cycles accelerate return on investment for costly technology purchases. A notable quote from the speaker highlights the firm’s philosophy: “We partner with clients on data architecture and governance to underwrite success,” underscoring a collaborative approach that leverages Kurtosys’ experience across multiple managers. Real‑world examples cite enhanced investor experience, reduced operational risk, and improved perception among stakeholders. The implications are clear: asset managers that adopt Kurtosys’ AI‑enabled platform can expect faster, more reliable client reporting, lower compliance risk, and a stronger competitive position in a market where data integrity and speed are paramount.

Original Description

At TSAM London, Patrick McKenna from Kurtosys laid out a compelling case for how investment managers are tackling the digital transformation of investor communications and Kurtosys plays a critical role in this as they are responsible for producing all the collateral needed for client reporting and sales support.

The core technology challenge for these firms is achieving excellent data quality and operational efficiency to ensure they are seen as one of the industry's top investment managers. To help clients meet this goal, McKenna highlighted that Kurtosys's solution is heavily focused on AI which involves using their tech stack to automatically identify data issues before they ever reach a client. Furthermore, McKenna explained that they are working to create major efficiencies in the operational workflow, allowing existing teams to be more efficient and provide an exceptional client experience. 

McKenna acknowledged that investing in new technology is a significant undertaking and requires investment not just in vendor spend but also in the time of people across the organization. To ensure a fast and effective ROI, Kurtosys makes a point of lowering the time to delivery for new capabilities compared to traditional methods. They achieve this by structuring their work, whether it's digital transformation or investor report production, to be delivered incrementally. The clear outcomes of this approach are an enhanced investor experience, lower risk of breaching operational risk controls, and a noticeably better perception among investors.

The key, McKenna stressed, is achieving these positive outcomes quickly. Kurtosys ensures this success by partnering closely with clients and these partnerships focus on their data architecture and establishing necessary governance controls early on. By taking this approach, investment managers benefit from the wealth of experience Kurtosys has gained working with many other firms in the industry.