Allocate Highlights AI-Driven Efficiency Gains in Private Market Operations

According to a recent LinkedIn post from Allocate, the firm is using its podcast, The Private Market Playbook, to explore how artificial intelligence is reshaping operational workflows in private markets and wealth management. The episode features a discussion between host Samir Kaji and Eric Patterson, Co‑Founder and Chief Investment Officer of Three Bell Capital, focusing on the balance between automation and human judgment.

The post highlights that near-term AI gains appear concentrated in data management and workflow automation, including capital call processing, reporting, and data aggregation. This framing suggests AI may reduce back-office costs and complexity for private market participants, potentially improving margins and scalability for advisory firms.

According to the content, AI is portrayed as lowering the operational threshold required to run complex private investment programs, making fund-of-funds structures more accessible to smaller registered investment advisers. If this lowers barriers to entry, Allocate and similar platforms could benefit from a broader addressable market of RIAs seeking technology-enabled access to private markets.

The conversation, as summarized in the post, emphasizes that core functions such as manager assessment, relationship judgment, and client-specific nuance remain human-driven. For investors, this positioning frames AI as an efficiency tool rather than a full decision-maker, which could mitigate concerns about over-automation in high-stakes allocation decisions.

The post also suggests that improved tools may enhance the quality of advisory work by freeing professionals to focus on higher-value judgment and client engagement. For Allocate, aligning its brand with practical, “grounded” AI use in private markets may help reinforce its role as an infrastructure and thought-leadership provider in an evolving competitive landscape.