🤖 AI Agents
Fume delivers and manages AI agents for investment funds: NAV automation, data ingestion, compliance monitoring, and reporting.
Instead of selling you software, we deliver the finished task. We find the process that eats your team's hours, build an agent for it, deploy it into your stack, and manage it while it runs on its own. Think of the agents as digital employees. They work the same tools and the same flows as your team, which is why the same team can serve a multiple of the assets.
We work with investment funds, asset managers, family offices, and fund administrators. The agents plug into whatever you already run: your custodian, your admin platform, your NAV engine, your inboxes. Systems of record like Paxus, Geneva, or Carta stay exactly where they are; the agents work on top of them, so nothing migrates and your team keeps the software it knows.
The problem: humans are the integration layer
Fund operations do not lack tools. The accounting system, the portfolio system, Excel, email, and broker PDFs all exist. What connects them is people. Someone exports, copies, pastes, and reconciles until the NAV pack, the investor report, and the compliance file are done. From our direct discussions with fund administrators:
- 5+ hours of manual data work per fund, per NAV cycle
- 20+ data formats re-keyed before any checks can run
- Over half of team time spent gathering data rather than judging it
That manual layer is what our agents take over, and we target doing it at 80% less than the cost of the manual labor it replaces. The output stays the same and the tools stay the same. What changes is who does the re-keying.
This is not a chatbot
ChatGPT and Copilot are already inside most back offices, and they still leave the work with your team: someone pastes a broker PDF into the chat, gets a wall of text back, and carries the result into the accounting system by hand. Every step waits for a prompt, so the task is still yours.
An agent is different. It has access to your systems, a defined task, and permission to complete it end to end. On a typical morning run, an agent pulls the overnight broker reports from the inbox, files the statements, structures the trades into the layout your platform expects, pushes them into the accounting system, and delivers the computed NAV before the team logs in. Your team reviews the output instead of producing it.
New to agents? Start with the complete guide to AI agents for fund operations or the agent vs. chatbot vs. RPA breakdown.
In this section
How It Works
Four steps from a manual process to a task that runs itself, and the principles behind every agent we ship.
Agent Catalog
The NAV lifecycle pipeline and the operations agents that run alongside it.
Private & Local AI
The same agents on open-source models, entirely inside your own infrastructure.
Security
How agent engagements handle data: agreements, certified infrastructure, zero retention, and human review.
Which process should go first?
Tell us what's eating your team's week. We'll tell you if an agent can take it over and what it would save; the target is around 80% of the labor cost of that process. Book a consultation.