Investor & fund operations
Capital calls, subscriptions, onboarding, recurring investor processes, and cash-flow coordination.
AI-powered operations for investment firms
Warren Street helps RIAs, family offices, and investment firms increase operational capacity by automating repetitive work, connecting existing systems, and improving how information moves.
More capacity. Less manual work. No unnecessary platform replacement.
The idea
Most firms already own much of the technology they need. The opportunity is in the handoffs, where employees copy information between email, CRM, spreadsheets, reporting systems, files, portals, and other tools.
I find those handoffs and use AI and automation to make them easier to run.
Where the work happens
Capital calls, subscriptions, onboarding, recurring investor processes, and cash-flow coordination.
Internal reporting, regulatory research, information retrieval, recurring meeting preparation, and compliance workflows.
CRM and Salesforce workflows, file architecture, document routing, Microsoft tools, and system-to-system handoffs.
Also: practical LLM implementation, employee training, controls, and internal AI tools.
Selected work
View selected workRecurring investment operations ran on manual steps between systems. AI now sits between some of them, translating data and taking over the repetitive work, so the operation is easier to scale.
View the projectProblems I take on
Skilled staff spent significant time on repetitive research and formatting. AI now runs the research, moves data between systems, and drafts the documents, so their hours go to judgment and review.
Read the case studyProblems I take on
How I work
The full approachMap the process, systems, handoffs, workarounds, and review points.
Decide what AI should handle, what it should not handle, and where people remain accountable.
Implement inside the existing stack, test it, document it, and expand only when it works.
A useful first step
Tell me what happens today, which systems are involved, and where people get stuck.
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