The middle and back office, running itself.

Alpha gets the attention; operations get the headcount. Agents take over the process weight around the investment team, from research monitoring and data hygiene to reconciliation exceptions and investor communications, inside an environment you control.

The drag nobody budgets for

Research coverage has holes

Filings, transcripts, revisions, and news across the whole book. More surface area than any analyst team can watch continuously.

Exceptions eat the ops team

Breaks, fails, and mismatches each need investigation, documentation, and chasing. It's essential work that scales linearly with volume, unless something else does it.

Investor requests interrupt everyone

DDQs, ad-hoc data requests, and monthly letters pull people off the desk. Every one is urgent to exactly one allocator.

What agents run at a fund

Research monitoring

Positions and watchlists monitored across filings, transcripts, and revisions. Material changes get summarized and routed to the right analyst within minutes.

Reconciliation exception handling

Breaks investigated against source records, documentation assembled, counterparty follow-ups drafted. Humans decide; agents do the legwork.

Data pipeline upkeep

Vendor feeds validated, gaps and anomalies flagged before they reach a model, upstream tickets filed and tracked.

Investor communications

DDQ responses drafted from your approved language library, monthly letter data assembled and checked, requests logged and tracked to closure.

Desk time for the desk. Everything else executes.

The funds that scale without bloating are the ones whose operational layer doesn't grow with AUM. Agents are how that becomes structurally true.

See What This Looks Like Inside Your Operation.

Book a time to meet below. We'll get specific about your organization and where AI agents can give you the most leverage.

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