"What's our total AUM by custodian?" "Show me all clients who haven't had a review this quarter." Claude answers with your actual data — not a template.

Traditional wealth management reporting requires an analyst, a reporting tool, or a spreadsheet. Someone has to know which system the data lives in, how to extract it, and how to format it. The process takes hours or days. With Milemarker Navigator, Claude can generate the same reports from a natural language question — querying your unified data warehouse and returning real answers in seconds. This is not AI writing a generic report. This is AI querying your actual CRM contacts, custodian positions, portfolio performance, and billing data to answer the specific question you asked.

The Reporting Problem in Wealth Management

Every firm needs reports. Few firms can produce them efficiently.

• Client review reports: 20–45 minutes each, assembled from CRM, custodian, and portfolio data

• Quarterly business reviews: 3–5 hours, pulling from billing, custodian, and CRM systems

• Board and investor reporting: days of work, multiple people, reconciling numbers across systems

• Compliance reports: manual assembly from archived communications and trading data

The bottleneck is never the report format — it's assembling the data from multiple systems. Firms hire analysts, buy reporting tools, and still end up in Excel because no single tool sees all the data.

The answer is not a better reporting tool. It's an AI that can query all your data at once.

What Navigator-Powered Reporting Looks Like

An advisor or operations professional types a question. Navigator queries the warehouse. Claude returns an answer. Here are examples of what that looks like in practice.

Show me my top 20 clients by AUM with their last review date

Claude queries custodian AUM data joined to CRM activity history and returns a ranked table with client name, AUM, and last review date.

What's our firm's total AUM, broken down by custodian?

Claude queries all custodian positions and returns aggregated totals with a breakdown by custodian.

Generate a quarterly performance summary for the Henderson household

Claude pulls performance data, cash flows, allocation changes, and recent CRM activity into a structured summary for that specific household.

Which advisors have the most overdue client reviews?

Claude cross-references CRM review schedules with activity logs and returns a prioritized list of advisors with overdue reviews.

What was our fee revenue last quarter compared to the same quarter last year?

Claude queries billing data and calculates the year-over-year comparison, presented as a summary with the variance.

List all accounts opened in the last 30 days with their assigned advisor and AUM

Claude queries custodian and CRM data and returns the list with account details, advisor assignments, and current AUM.

From Question to Answer

The technical flow is straightforward. Every query goes through Navigator's permission and audit layer before returning results.

01

You ask Claude a question in natural language In Claude's interface, or through a Milemarker integration. No query language or report builder required.

02

Milemarker Navigator receives the question through MCP The Model Context Protocol routes the question to Navigator, which has access to your firm's data warehouse.

03

Navigator translates the question into a structured query The question becomes a precise query against your Snowflake warehouse — no manual SQL required from your team.

04

The query executes against your unified data CRM, custodian, portfolio, planning, and billing data — all in one place, all queryable in a single operation.

05

Results return to Claude through Navigator Claude interprets the results and presents them as natural language, a table, or a structured report — based on what you asked for.

06

The entire process takes seconds Every query is logged for compliance audit purposes. The answer is live data, not a cached snapshot.

Before Navigator

Request a report from ops

Wait 1–3 days

Receive a static PDF or spreadsheet

Ask for a change, wait again

Reports limited to what was pre-built

Can't ask follow-up questions

With Navigator

Ask Claude the question directly

Get the answer in seconds

Results are live, not static

Ask follow-up questions immediately

Any question, any data combination

Every query is auditable

Beyond Ad Hoc: Structured Reporting

Navigator doesn't just answer one-off questions — it can generate structured, repeatable reports. These are not templates filled in manually. They are reports generated from live data, on demand, in a consistent format.

01

Quarterly Client Review Packages

Claude can generate a consistent format for every client, populated with their specific performance data, allocation changes, and CRM activity. The same structure, every quarter, for every household — without manual assembly.

02

Advisor Scorecards

Production, activity, client retention, and AUM growth — generated for each advisor on demand. Compare advisors on the same metrics without building separate reports for each one.

03

Board and Investor Packages

Firm-level KPIs, growth metrics, and revenue analysis — assembled from your unified data in minutes. No week-long data pull. No reconciling numbers from three different systems.

04

Compliance Reporting

Structured reports that draw on CRM activity, trading data, and account records — all from one query. Audit preparation time drops when the connections already exist in the data warehouse.

The key distinction between Navigator-powered reporting and traditional reporting tools: these reports are generated from live data, not from a static template that someone fills in manually.

Frequently Asked Questions

How accurate are the reports Claude generates?

Reports are generated from live queries against your Snowflake warehouse. The data is the same data that feeds your existing reports — it's just accessed through natural language instead of a report builder. You can verify any number by querying the underlying data.

Can I customize the format of Claude's reports?

Yes. You can ask Claude to present results as tables, summaries, bullet points, or narrative text. For repeatable reports, Milemarker can configure standard templates that Claude populates with live data.

Does this replace our existing reporting tools?

Not necessarily. Navigator is ideal for ad hoc questions, quick lookups, and on-demand reports. Existing reporting tools may still be valuable for highly formatted, client-facing deliverables. Many firms use both.

Can Claude generate client-facing reports?

Claude can generate draft reports using your data. Client-facing deliverables should go through your firm's compliance review process before distribution.

What data sources can Claude report on?

Any data in your Milemarker warehouse: CRM, custodian, portfolio, planning, billing, compliance, and market data. The specific sources available depend on what your firm has connected to Milemarker.

Can I ask follow-up questions?

Yes. Claude maintains context within a conversation. If a report shows something interesting, you can immediately ask "drill into the top 5" or "compare this to last quarter" without starting over.

How does this handle sensitive client data?

All queries go through Navigator's permission layer. Advisors see only their clients' data. Compliance-sensitive data is accessible only to authorized roles. Every query is logged.

What does it cost?

Navigator reporting is included in the Milemarker platform. There is no per-report or per-query charge. A strategy call will scope your firm's data environment and provide pricing.

Related guides

Part of the AI for Wealth series:

• Claude for Financial Advisors: AI That Knows Your Clients, Portfolio, and Practice

• AI Meeting Prep for Financial Advisors: 30-Second Client Briefings From Claude

• Claude for RIA Operations: AI-Powered Answers for COOs, Ops Managers & Firm Leadership

• Model Context Protocol (MCP) for Wealth Management: How AI Agents Access Firm Data

• AI Copilot for Wealth Management

• AI for Wealth Management Starts with Data, Not Agents