08 — CASE STUDY / 2026
Nomerra — Agent for Private Market Operations
A case study on an AI agent for private market operations — where deal, fund, and investor workflows can be automated, and where they cannot.
How this study was done
Context
Private market teams run on documents, data rooms, and manual reconciliation across funds, deals, and LPs. Most of the effort goes into moving information rather than judging it.
Approach
I mapped the operating workflows end to end, split the rule-bound steps from the ones that carry fiduciary weight, and scoped the agent to the first group with a clear escalation path.
What I proposed
An agent that handles document extraction, reconciliation, and routine reporting, with an audit trail and review gates that a compliance-heavy industry can defend.
How to read the deck
The deck above covers the operating context, the workflow analysis, the agent scope, the guardrails, and the risks.