Zomma

Why transaction monitoring queues at cross-border payment companies grow faster than the teams that work them, what an alert investigation actually involves, why regulators forbid the obvious shortcuts, and how AI agents add review capacity inside the sys

95% of fund managers use AI. 7% run agents. A former ops operator on what the gap is made of, what closes it, and what agents still cannot do.

My field notes on why Zero Trust is important to building trust in agentic systems, and what we could build on top of it.

Why Zomma assigns SPIFFE IDs to our ephemeral runtime instances the orchestrator spins up - short-lived X.509 certificates from our own trust domain make every agentic action attributable and accountable.

An agent handles the rule-based part of data entry, reading from one system and typing into another, faster and without the errors that creep in by hour three. The judgment calls still need a person.

Fund admin portals, prime broker sites, and transfer agents rarely have APIs. How hedge fund and family office ops teams automate the daily downloads, re-keying, and month-end reconciliation with computer-use agents.

Zomma's playbook for implementing the Agentic Trust Framework: four concern bands, deterministic controls, human approval, and an examiner-ready audit trail.

Headless vs headful, explained, and why an agent-dominated future still needs computer use. Most software has no API and never will, so an agent that can operate a screen can work where API-only agents can't.

Enterprise computer use is AI agents operating software the way a person does, for regulated work that lives behind portals with no API. How it works, how it differs from RPA and APIs, and why in regulated finance the screen is the control surface, not a

Why RPA bots keep breaking, how computer-use agents handle a screen that changes, where each one actually fits, and why financial back offices feel the shift first.