# Zomma

> Zomma builds state-of-the-art computer-use AI agents that operate the software financial firms already use — the portals, desktop apps, and documents that have no API. Built security-first for the back office of finance, with scoped permissions and a full audit trail for every action.

Zomma is not a workflow-automation or RPA tool. Our agents see the whole screen and operate existing software the way a person does, then pause for human approval before any final action. Forward-deployed inside regulated operations teams. Backed by Y Combinator (S26).

## Core
- [Home](https://zommalabs.com/): What Zomma is — secure computer-use agents for financial operations.
- [Computer use](https://zommalabs.com/computer-use): How computer-use agents operate software that has no API.
- [Enterprise](https://zommalabs.com/enterprise): How Zomma forward-deploys agents inside regulated operations teams.
- [Security](https://zommalabs.com/security): Scoped credentials, human approval, and an SEC-ready audit trail.
- [Company](https://zommalabs.com/company): Who we are and why we build this.

## Use cases
- [Client onboarding automation](https://zommalabs.com/use-cases/client-onboarding): Extract intake data and fill the CRM, custodian, and carrier portals end-to-end; fixes NIGO.
- [Compliance automation](https://zommalabs.com/use-cases/compliance): Cross-system periodic reviews — ADV, KYC refresh, Reg BI, RMD prep — logged for SEC Rule 204-2.
- [Reconciliation & reporting](https://zommalabs.com/use-cases/reporting): Custodian breaks, portfolio accounting, quarterly client packets, 1099 reconciliation.

## Writing
- [NIGO: The Hidden Tax of Not-in-Good-Order Paperwork](https://zommalabs.com/blog/nigo-not-in-good-order-client-onboarding): What NIGO (not in good order) means, why rejected applications quietly add days to client onboarding, and what changes when the good-order check happens before submission instead of after rejection.
- [Zomma-ing towards SPIFFE: a Secure Production Identity Framework for Everyone (and their Agents)](https://zommalabs.com/blog/zomma-spiffe-implementation): 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.
- [Can an AI agent replace data entry?](https://zommalabs.com/blog/ai-agent-replace-data-entry): 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.
- [How to Automate Fund Admin and Transfer Agent Portal Work](https://zommalabs.com/blog/automate-fund-admin-transfer-agent-portals): 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.
- [Implementing the Agentic Trust Framework (ATF): Zomma's Playbook](https://zommalabs.com/blog/agentic-trust-framework): 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: Why Computer Use Survives an Agent-Run Internet](https://zommalabs.com/blog/headless-vs-headful-computer-use): 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: What It Is, How It Works, and How to Deploy It Safely](https://zommalabs.com/blog/enterprise-computer-use): 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 fallback.
- [Computer-Use Agents vs RPA: Why a Decade of Enterprise Automation Kept Breaking](https://zommalabs.com/blog/computer-use-agents-vs-rpa): 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.
- [AI Agents for Financial Advisors: Automating Your Existing Stack Without Replacing It](https://zommalabs.com/blog/ai-agents-for-financial-advisors): Financial advisors run 10-15 disparate systems and lose hours to swivel-chair data entry between them. Here is how AI agents work on top of the stack you already have — Redtail, Salesforce, Schwab, Allianz — without ripping anything out or waiting years for carrier APIs.
- [AI Agents for KYC & Customer-Profile Review: A 2026 Guide for Compliance Teams](https://zommalabs.com/blog/ai-agents-for-kyc-customer-profile-review): What a KYC customer-profile review requires, how often you actually have to do one (it's risk-based, not fixed-cadence), the rules by business type in 2026, and how AI agents clear the review backlog by working inside the compliance systems you already use.
- [How teams automate onboarding work across 6 systems](https://zommalabs.com/blog/automate-client-onboarding-ria): Onboarding still means moving the same information across portals, CRMs, PDFs, and spreadsheets. Here is how to turn data entry into review.
- [Why your best operations person is your biggest risk](https://zommalabs.com/blog/ops-knowledge-loss-financial-services): Small operations teams run on unwritten judgment. When the person who knows the exceptions leaves, the firm loses more than capacity.
- [Automating portal work when every counterparty has a different system](https://zommalabs.com/blog/automate-carrier-portal-data-entry): Banks, custodians, admins, carriers, and vendors all have their own portals. Computer-use agents can work across them without waiting for APIs.
- [How to reduce manual data entry in operations](https://zommalabs.com/blog/reduce-manual-data-entry-financial-services): Operations teams move data between portals, spreadsheets, CRMs, and internal systems all day. Here is how to cut that work without a large integration project.
- [What does it cost to automate an operations workflow?](https://zommalabs.com/blog/cost-automate-back-office): RPA, offshore teams, internal engineering, and computer-use agents all have different economics. The right answer depends on workflow volume, risk, and maintenance burden.
- [Automation tools for the legacy systems teams still use](https://zommalabs.com/blog/desktop-automation-legacy-software): Many operations workflows still depend on old portals, desktop apps, and brittle exports. Here are the automation approaches that still work.
- [How long should an operations automation project take?](https://zommalabs.com/blog/how-long-rpa-implementation): Traditional RPA can take months. Computer-use agents can prove value in weeks because they start where the work already happens.
- [When enterprise RPA is too heavy for a lean team](https://zommalabs.com/blog/uipath-too-expensive-small-business): UiPath can work at enterprise scale. For a lean team, the implementation and maintenance math looks different.
- [How to automate computer work without an API](https://zommalabs.com/blog/automate-desktop-without-api): Most automation tools need an API. Many portals and internal systems do not have one. Screen-based agents solve a different problem.
- [RPA vs AI agent: what operations teams should know](https://zommalabs.com/blog/rpa-vs-ai-agent): RPA follows scripts. Computer-use agents read screens and adapt. Here is what that difference means for real workflows.

## Contact
- Email: hello@zommalabs.com
- LinkedIn: https://www.linkedin.com/company/zomma