Industries — Financial services
AI operations for financial services, with humans in control.
Generic automation and client money don't mix. We build private operations agents and platforms where the AI prepares the work — drafts, documents, invoices, follow-ups — and nothing client-facing moves without approval. It's the same pattern we've already shipped into approval-heavy and regulated environments.
Why automation stalls in financial services
The work lives in six places.
Client communication in email, meetings in the calendar, documents in SharePoint, tasks on a board, invoices in Xero, signatures in DocuSign. Keeping them aligned is a full-time job in itself.
Off-the-shelf AI can't be trusted with it.
Tools that auto-send, auto-file, or auto-commit are a liability when the work touches client money and binding documents. The failure mode isn't a typo — it's a compliance event.
Compliance needs a trail.
Regulated work has to show who approved what, and when. Automation that can't produce that trail creates risk instead of removing it.
What we build for financial services
Private operations agents with approval workflows
One command layer across email, calendar, documents, tasks, invoicing, and e-signature. The agent prepares the work and routes it for sign-off — it doesn't act alone on anything client-facing.
Document and signature workflows
Automation across SharePoint and DocuSign that keeps documents moving without losing control of what gets signed and what gets sent.
Platforms for regulated environments
We've built a complete clinical operating platform inside regulated healthcare — role-based dashboards, review workflows, and Australian-hosted tools, with every client-facing action gated by approval. That control discipline is what your operations inherit.
Proof from approval-heavy environments
The systems financial services teams need are the ones we already run in production: an approval-gated operations agent working across Xero and DocuSign, and a complete operating platform built for a regulated industry.
Common questions
Can the AI send client communications automatically?
It prepares them; a person sends them. Every client-facing action is routed for approval before anything moves — drafts, documents, invoices included.
How do you handle compliance and audit requirements?
Every action the agent prepares is routed through an approval workflow, so there's always a record of who signed off on what, and when. We've built to this discipline inside regulated healthcare, where the bar is unforgiving.
What systems can the agent connect to?
Email, calendar, SharePoint, Trello, Xero, and DocuSign are all running in production today. The agent is built around whatever stack you operate — the point is to stop your team re-keying work between tools.
Will the AI make decisions about client money?
No. It prepares the work — drafts, documents, invoices — and a person makes every decision that matters. Nothing binding happens without human sign-off.
Where is our data hosted?
These are private systems, not shared products, and hosting is designed per engagement around your obligations. Where data residency matters we've shipped Australian-hosted tooling — that's how the clinical platform runs today.
Can we start with one workflow before committing to a platform?
Yes — most engagements start by mapping the operation and fixing the workflow that's bleeding the most time. Scope and sequence get settled on the intro call.