AI tools for advisors aren't one thing. There's capture — the layer that records what happens. There's data — the layer that makes sense of it. And there's action — the layer that does something with it.
Notetakers capture the meeting. Milemarker runs the business.
See the PlatformTHE PROBLEM
Five systems. No shared foundation.
The notetaker captures the meeting. The custodian holds the portfolio. The CRM tracks the relationship. The planning tool runs the analysis. Each AI layer you add knows its own silo but nothing connects them.
Without a shared data foundation, every AI tool adds another system to maintain instead of removing work.
AI tools work when the data layer underneath them is governed, normalized and owned by the firm.
LAYER ONE: CAPTURE
Zocks, Jump and similar tools record, transcribe and summarize client meetings. They handle meeting prep, follow-up drafts and CRM entry. The question is what your firm does with the data they produce.
AI layers built into Salesforce, Redtail, Wealthbox and similar CRMs automate note logging and task creation. Useful, but still siloed from portfolio and planning data.
LAYER TWO: DATA
Milemarker connects every system in your stack — custodian, CRM, planning, notetaker — and normalizes them into one data model your firm owns. One definition of a household, one set of entitlements.
Row-level entitlements, PII masking and SOC 2 Type II controls sit underneath every AI tool that connects to Milemarker. What each user may see is defined once and enforced everywhere.
The Milemarker MCP server connects AI assistants — Claude, ChatGPT, Gemini — to your firm's data layer with your governance in place. Your AI picks up everything normalized in Milemarker.
LAYER THREE: ACTION
Automated outbound steps — emails, notifications, integrations — triggered by events in your normalized data. When an action item appears from a meeting note, Relay can act on it.
Client-facing forms with pre-filled data, case management, service request tracking. Processes that used to run in email threads run in structured, auditable workflows.
Milemarker's native AI for your platform. Answers questions about your firm's data, surfaces insights and helps advisors prepare — built on the same governed foundation as everything else.
“If your data is not in good order and you don't have connectivity and visibility across all your advisors and service providers, it's really almost impossible to run an effective agentic AI strategy.”
Jim DicksonFounding Partner & CEO, Elevation Point 140+
Pre-built wealth management integrations
~300
MCP tools your AI assistant can use
1
Data model your firm owns
SOC 2
Type II certified environment
Tool and vendor information on this page is based on publicly available sources. If anything is out of date or needs a correction, we're happy to fix it — reach out at connect@milemarker.co
Milemarker MCP is a server that exposes your entire Milemarker platform — data queries, dashboard deployment, user management, search, and AI navigators — as something any MCP-compatible AI assistant can operate. Instead of clicking through admin screens or writing SQL, your team asks in plain language and the platform does the work.
Any AI assistant that supports the Model Context Protocol standard. Today that includes Claude (Anthropic), ChatGPT (OpenAI), Codex (OpenAI), and Gemini (Google) — plus any future model that adopts the open standard. Your firm is never locked in.
A chatbot answers questions about information it’s been trained on. Milemarker MCP is an operator — it takes action on your live platform. When you say “deploy a dashboard,” it actually builds and deploys the dashboard. When you say “add a user,” the user is created with real permissions. Every action goes through Milemarker’s governed APIs with a full audit trail.
Yes. Every action flows through Milemarker’s existing governed APIs, respects tenant boundaries, and produces auditable artifacts. Nothing skips policy. Nothing happens in a black box. Milemarker is SOC 2 Type II certified with 256-bit SSL encryption and 24/7 threat monitoring.
About two minutes. Milemarker turns on Firm MCP for your firm, you add your firm’s MCP address as a connector in your AI client, and you sign in with your own Milemarker account. No engineering resources required.
Yes — Milemarker MCP operates on top of your Milemarker platform. It’s the AI interface layer for the data, dashboards, users, and workflows already running in your Milemarker tenant.
Query your firm’s data in natural language, deploy dashboards and metrics, stand up search and AI navigators, manage users and permissions, and run platform-wide projects like bulk deployments, migrations, and audits — all through conversation.
GET STARTED
Map your current stack and where Milemarker fits.
Put your firm's data inside Claude through MCP.
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