Adopt AI without losing control of what your regulator cares about.

Flowchestra helps RIAs, wealth management firms, family offices and investment advisers adopt AI with human oversight, data controls, auditability and policy enforcement connected into governed workflows. Built for confidential, client facing, compliance heavy work.

Bring your compliance lead. The demo is better with them in the room.

You've probably already had one of these moments.

The audit deadline.

An examination or client due diligence request lands, and someone asks what AI tools the firm uses and how they're controlled. Answering it today involves a spreadsheet, some guesses and a long week.

The near miss.

Someone pastes something they shouldn't into a tool nobody approved. Nothing bad happens, this time. The conversation it triggers is why this page exists.

The stalled pilot.

The firm tried AI, carefully, in a corner. It worked well enough, but nobody could answer the compliance questions that came next, so it never left the corner.

None of these are technology failures.

They're what happens when AI arrives before the structure that makes it defensible.

Real workflows, with the controls your obligations demand.

Start with work your firm already does every week:

Client onboarding.

Intake documents can be read, summarized and checked for gaps inside a governed workspace, with human review kept in the process before work moves into client-facing use.

Compliance deliverables.

Policy documents and compliance reporting can be drafted by AI within governed workflows, then reviewed by your people before they become final work.

Meeting prep and document review.

Briefings and document summaries can be produced from the firm's approved data using AI models the firm has allowed.

The pattern is the same every time.

Governance stays connected to the workflow, human review remains part of higher-risk work, and activity is logged to support visibility and accountability.

When someone asks
“How is your AI controlled?”
you'll have an answer.

Every significant action in Flowchestra is logged. Who used which model, with what data, under which rules. Access is role based, sensitive data is flagged before it goes anywhere, and by default your data is not used to train AI models.

Flowchestra is designed to support the obligations regulated firms carry: auditability, human oversight, access control and defensible records. Regulatory responsibility stays with your firm; what the platform provides is the operational evidence that makes those responsibilities easier to meet.

Read the Trust page

Who used which modelLogged on every significant action
With what dataData scope recorded per request
Under which rulesThe policies in force at the time
No model trainingBy default, on your data

A direct fit for some firms. A partner fit for others.

Work with Flowchestra directly

Flowchestra works directly with a selective set of financial services organizations: firms with real operational complexity, confidentiality obligations and the intent to make AI part of how the firm runs. If you're an RIA, wealth management firm, family office, or investment adviser with those characteristics, book the demo.

RIAsWealth management Family officesInvestment advisers
Book a demo →

Adopt AI through a provider you already trust

If you'd rather adopt AI through a trusted provider who runs it for you, many firms will meet Flowchestra through their MSP or advisory partner, and that path is a feature, not a compromise.

Via your MSPVia your advisory partner
Here's how the partner model works →

What advisory firms ask first.

By default, no. Flowchestra is configured to prevent client data from being used to train models, and providers that require data to be used for training can be blocked entirely. Organizations can choose to allow training-enabled models where their own policies permit it.

Yes, precisely. Model access is a governance setting: you decide which models and providers are allowed, for whom, with what data, and the platform enforces it. Unapproved tools stop being the easy option.

Every significant action is logged: the model, the data scope, and the rules in force. That gives your team a defensible record of how AI was used, rather than relying on memory or policy alone.

Deployment, hosting and residency deserve exact answers. Ask us and we'll answer directly, in writing, or start with the Trust page.

Bring us one workflow your compliance team worries about.

We'll show you that workflow running governed, with controls and auditability included.

Schedule a discovery conversation →