Knodox/Industries/Financial Services
AI for wealth & advisory

Ask your book. Catch what needs a conversation.

Compliance flags, portfolio performance, and reviews — asked in plain English.

Your client, portfolio, and compliance systems already hold the signal. Knodox reads them read-only and turns them into permission-aware answers — scoped by region and desk, with client SSN and DOB masked before the model reads a row, and every figure traced to a real position.

For advisors, compliance, regional heads, and firm leadership.

Open compliance flags surfaced by severity Underperforming portfolios flagged, not buried Scoped by region & desk SSN & DOB masked before the model reads a row
The oversight problem

The risk is in the data. The alert isn't.

Advisors and compliance teams sit on rich position, transaction, and flag data — but the questions that catch problems early are slow to ask and impossible to ask safely across regions.

Flags surface late

An AML pattern or a suitability breach can sit open for days. Ranking what's critical, right now, shouldn't wait for the next compliance meeting.

Underperformers hide in the average

A book can look healthy in aggregate while one concentrated portfolio is down double digits. You need the outliers, not the mean.

Region & PII rules are strict

A North advisor can't see South clients; SSN and DOB can't reach a model for a role without clearance. UI-level controls don't satisfy a regulator.

Ask it like this

The questions your desks already ask — answered from your data.

Example answers on a representative multi-region wealth dataset. Every figure is derived from the underlying client, portfolio, and flag rows and checked back against the source before it's shown.

1

"Are there any open compliance flags I should know about?"

Two are open. A critical AML flag — three offshore wire transfers totalling $4.2M in seven days — and a high-severity suitability breach where a client requested a 25% private-equity allocation against a 15% IPS cap. Each with the client, advisor, and flag date attached.

Traced to the compliance_flags table
2

"How big is our book?"

Same question. Different roles. Different views — enforced at the data layer:

Advisor — own clientsown book · PII for own clients
Compliance officer — regionflags & risk · PII masked
Regional head — all deskswhole region · PII masked
Executive — firm-wideall regions · PII masked
Regions are isolated: a North advisor sees zero South or West clients.
3

"Which client portfolios have negative YTD returns?"

One is underwater: a tech-growth portfolio down 4.2% YTD against the Nasdaq-100, driven by a concentrated position. Positive books aren't flagged — only the ones that need a conversation.

Derived from portfolios & positions
Why firms trust it

Built for a regulated book.

The same three guarantees that run across all of Knodox — applied to financial data.

Permission-aware by design

Roles map from your identity provider; every query is scoped by region and desk at retrieval. SSN and DOB are masked before the model reads a row for roles without clearance.

Verified, never invented

AUM, returns, and flag counts are checked back against the source positions and rows. If a figure can't be traced, it's flagged — not shown. Auditable by design.

Answers that become dashboards

Pin any answer — open flags by severity, AUM by desk, reviews coming due — into a living dashboard that refreshes against your data, scoped to each viewer's role.

Two ways to consume it

Use Knodox's app — or embed it in yours.

Point your teams at Knodox's Ask interface, or keep your own advisor portal and call Knodox's permission-aware retrieval API. Either way, the same region and desk rules apply per user.

Native Ask UI

Advisors and compliance log in and ask directly. Connect a read-only source, map roles, and go.

Headless / embedded

Keep your own advisor or client portal and call the retrieval API with the end-user's identity on every request. Knodox mints a scoped token and returns only what they're allowed to see.

Client PII stays protected

SSN, DOB, and contact details are masked before the model reads them — unless the caller's role is explicitly cleared.

See it on your own book.

Thirty minutes. We connect a read-only copy of one of your sources, set up two roles, and let you ask your first real question. No demo data, no slideware.