⚙️ How It Works

Every engagement follows the same shape: we find the right process, build an agent around it, and keep running it after it ships. We are your drop-in AI specialists, so your team can focus on review.

1. Find the process

We sit with the people who actually do the work and map every manual step: broker reports pulled by hand, statements re-typed, data pushed between systems. We watch how the team actually does the work, exceptions included, and rank the processes by hours saved. The process that eats the most hours is where the first agent goes.

2. Build and deploy the agent

We build the agent around how your team already works and wire it into your existing systems: email, Excel, your accounting platform. Each agent lives in its own dedicated virtual machine and can use frontier models or local open-source models, so it runs wherever your data needs it. No migration, no new platform to learn: your formats and your controls stay untouched.

3. Let it run

The agent performs the task on its own, every cycle, with a watchdog checking every run. The output lands in the drive, inbox, or platform your team already opens, so your team checks results instead of logs.

4. We maintain it

We monitor every run, fix issues before they reach you, and ship upgrades as your tools evolve. When an exception comes up, we handle it ourselves and fold the fix back into the agent, so the fleet keeps improving. You get the result of the work without new IT hires.

Why not rules-based automation?

Fund administration is like self-driving a car: fixed rules never got there. Red light? Stop. Dotted line? Cross. Then come roadworks, fog, and a cat on the road, and ten thousand rules later there are still too many exceptions. Scripted bots and RPA hit the same wall. The automation works until a broker changes their PDF layout, then it breaks and a human gets paged.

Self-driving only worked once AI started learning from how humans drive, exceptions included. Fund administration is the same road: our agents learn from your team and work like your team, without a rulebook.

How we build agents

Four principles hold across every agent we ship:

• The agent is wired into your stack: custodian, admin platform, trading venues, data providers. You are not forced to migrate anything.
• It is bespoke. We write, deploy, and hand over a custom agent built around your process, not a generic product or a 200-page report.
• Guardrails hold. The agent acts inside limits you set, and every action is logged so your compliance team can trace each run.
• We manage it. We monitor every run, catch the edge cases, and keep improving the agent over time. You get the result without the maintenance burden.

Subscriptions, not consulting

We target the same output, from the same tools, at 80% less than the cost of the manual labor the fleet replaces. Everything about the engagement is built around hitting that number:

1. Start. A fully refundable down payment in agent credits gets the engagement going.
2. Build. The first agent goes live in production within about 30 days, and we roll out further agents across the lifecycle from there.
3. Subscribe. A recurring monthly subscription priced as a share of the labor cost the fleet replaces, which is how the roughly 80% saving lands in your budget month after month.

We are not paid to implement. We are paid for the usage and maintenance of the fleet. Book a call for a tailored offer.

The Fume stack for AI

Every part of Fume is built for programmatic access, so the agents we deliver can lean on each layer. Agents on the other side of the table use the same stack to browse, subscribe, and invest:

• Fund Builder: agents pick legal, admin, custody, and audit providers.
• Tokenization Engine: programmable on-chain shares that agents can issue and distribute.
• OmniClear: instant stablecoin settlement for subscriptions and redemptions.
• Fund Registry: a public directory of tokenized funds that agents can browse, evaluate, and invest in.