๐๐ก๐๐ง ๐๐ ๐ฅ๐ข๐ฏ๐๐ฌ ๐ข๐ง๐ฌ๐ข๐๐ ๐ฒ๐จ๐ฎ๐ซ ๐ฌ๐ฒ๐ฌ๐ญ๐๐ฆ ๐จ๐ ๐ซ๐๐๐จ๐ซ๐, ๐๐ฏ๐๐ซ๐ฒ๐ญ๐ก๐ข๐ง๐ ๐ฆ๐จ๐ฏ๐๐ฌ ๐๐๐ฌ๐ญ๐๐ซ!
In this weekโs episode of The Fund AI Pod, host Iain Carey speaks with Alex Benke, Head of Artificial Intelligence at Ridgeline, a cloud-native, front-to-back platform built specifically for asset and wealth managers.
Ridgeline was founded by Dave Duffield, the entrepreneur behind PeopleSoft and Workday. Alex has spent nearly 25 years building financial systems, including a decade at JP Morgan and early experience at Betterment, before joining Ridgeline seven years ago.
We explore how Ridgeline approaches responsible AI and discuss practical, real-world agent use cases including a knowledge management assistant, trade compliance agent, reconciliation agent, CRM agent, and an observability agent. We also explore data integration, MCP, internal software coding copilots, client adoption, measuring outcomes, the future of investment workflows, and much more!
Sponsor
This episode is brought to you by:
zentia Consulting - helping asset managers, funds, service providers and enterprises identify and implement their top AI and automation use cases. They can build or co-build solutions for you, provide AI training, build governance oversight programs, and offer off-the-shelf pre-packaged agents.
https://www.zentia.io/
Follow on LinkedIn
Guest (Alex Benke): https://www.linkedin.com/in/benke/
Guest's Firm (Ridgeline): https://www.linkedin.com/company/ridgelineai/
Host (Iain Carey): https://www.linkedin.com/in/iaincarey/
Host's Firm (zentia): https://www.linkedin.com/company/zentia-consulting/
Website & Platforms
https://www.thefundaipod.com
The Fund AI Pod can also be found on YouTube, Spotify and Apple Podcasts.
Chapters
00:00 Introduction to Alex and Ridgeline
04:33 Ridgelineโs AI beginnings
08:07 Initial client facing AI abilities
09:31 Agents and digital coworkers
11:38 Reconciliation agent
13:38 Security and compliance in a regulated industry
18:06 Three additional agent use case examples
21:15 AI models powering Ridgeline
22:33 Integrating external data and MCPs
24:00 Internal software development via coding copilots
25:38 Client adoption & feedback and measuring success & outcomes
31:07 The future of investment management workflows
37:09 Staying current with AI developments and contact details