You chose the best tools for every job. But your CRM doesn't talk to your portfolio system, your planning tool doesn't reflect real positions, and your compliance team is running on spreadsheets. Sound familiar?

A franken-stack is what happens when an advisory firm assembles best-of-breed technology — each tool excellent on its own — without a plan for how they share data. The result is a Frankenstein's monster of disconnected platforms stitched together by manual exports, CSV files, and workflows that break every time a vendor updates their API. Each tool works. The stack doesn't.

The 7 Signs You're Running a Franken-Stack

Some of these will sting a little. That's the point. If three or more land, you have a franken-stack — and it's costing you more than you think.

Sign 01

Your "client 360" requires 6 browser tabs.

You have to open your CRM for contact details, your portfolio system for holdings, your custodian portal for cash balances, your planning tool for goals, your billing system for fees, and maybe a spreadsheet to tie it all together. If seeing the full picture of one client requires toggling between half a dozen applications, you have a franken-stack.

Sign 02

Your client data is different in every system.

The client's address is current in Salesforce but outdated in your portfolio system. Their phone number is right in the custodian portal but wrong in your planning tool. Nobody knows which system has the "correct" record because there's no master. When a client calls, your team wastes the first two minutes figuring out which data to trust.

Sign 03

Your quarterly reporting takes longer to compile than to analyze.

Your ops team spends the first week of every quarter exporting data from three systems, pasting it into Excel, reconciling the numbers, reformatting for clients, and double-checking that no accounts were missed. The actual analysis takes a day. The data assembly takes a week. If your team dreads quarter-end more than tax season, you have a franken-stack.

Sign 04

You have integrations, but they only sync names and emails.

Your CRM "integrates" with your portfolio system — meaning it syncs contact names. But it doesn't sync positions, performance, or plan status. Your portfolio system "integrates" with your custodian — meaning it pulls holdings. But it doesn't connect to your planning tool. You have integration checkboxes without actual data flow.

Sign 05

Your compliance team maintains their own shadow database.

When the official systems can't produce the reports compliance needs, the compliance team builds their own — usually in Excel, sometimes in Access, occasionally in a personal Salesforce view. If your compliance function operates on a parallel data infrastructure because the "real" systems don't talk to each other, that's a franken-stack with a compliance risk multiplier.

Sign 06

You've been "evaluating" a data solution for two years.

You know the problem exists. You've seen demos. You've built a business case. But the project keeps getting pushed because "it's too big" or "we're in the middle of X." The franken-stack survives on inertia — each quarter it costs more, but no single quarter is painful enough to force action.

Sign 07

Your AI initiative is stuck at "we need to clean our data first."

Your firm wants AI. Your vendor is offering AI features. But when you try to use them, the data isn't there — or it's wrong, incomplete, or siloed in one platform. You keep hearing "garbage in, garbage out" from your operations team. The AI features sit unused because the franken-stack can't feed them clean, unified data.

How Franken-Stacks Form

Nobody sets out to build one. Every individual technology decision was rational. The problem is compound, not sudden.

Year 1

You pick the best CRM for your firm. Salesforce, Redtail, Wealthbox — it doesn't matter. It's the right call.

Year 2

You add the best portfolio system. It doesn't integrate deeply with the CRM, but the vendor promises it's on the roadmap.

Year 3

You add a planning tool. Then a compliance system. Then a billing platform. Each one was the right choice in isolation.

Year 5

You have 8 platforms, 3 custodians, and 47 CSV exports per month. The integrations that exist are shallow. The roadmap promises never shipped.

Today

Nobody planned this. Every individual decision was rational. The compound result is a franken-stack — and now it's everyone's problem.

Three Ways to Fix It

Not all fixes are created equal. Here's an honest look at your options.

Rip and replace

• What It Means: Move everything to one vendor's platform

• Time to Value: 12–24 months

• Disruption: Maximum — every workflow changes

• Data Unification: Eliminates silos within that vendor's ecosystem; creates vendor lock-in

Band-aid integrations

• What It Means: Add more point-to-point connectors between tools

• Time to Value: Quick

• Disruption: Low disruption initially

• Data Unification: Does not solve the underlying data model problem. Breaks at scale.

Data layer

• What It Means: Keep every tool; unify data in a central warehouse

• Time to Value: 4–8 weeks

• Disruption: Zero — existing workflows untouched

• Data Unification: Full cross-system unification without replacing a single tool

The data layer approach is the only one that solves the actual problem — disconnected data — without the trauma of a full replacement. You keep what works. You connect what doesn't talk. You get the unified view your firm actually needs.

What Changes When You Fix It

Franken-Stack: Before

6 tabs for one client's complete picture

Different data in every system — no master record

Quarter-end takes a week just to compile data

Compliance running shadow spreadsheets

AI stuck at "clean your data first"

Integrations that sync names but not numbers

Connected Stack: After

One data layer, complete client view in one place

Master data management keeps all records consistent

Quarter-end reporting automated — analysis is the work

Compliance sees all data, no parallel infrastructure

AI has clean, unified data across every system

Real integration — positions, performance, plans, all of it

Where Milemarker Fits

Milemarker is the data layer built specifically for advisory firms. We're not another tool to add to the franken-stack — we're the layer that connects the stack you already have.

Milemarker connects 130+ systems — CRM, portfolio, custodian, planning, compliance, billing — into one Snowflake warehouse your firm owns. Your tools keep working. The franken-stack becomes a connected stack.

• 130+ pre-built integrations. Salesforce, Redtail, Wealthbox, Orion, Tamarac, Black Diamond, Schwab, Fidelity, Pershing, eMoney, MoneyGuidePro, RightCapital, and more — all connecting into one normalized data model.

• Your firm owns the data. The warehouse lives in your Snowflake instance, not in a vendor's infrastructure. Your data is yours — portable, queryable, and independent of any single platform.

• Go-live in weeks, not months. No rip-and-replace. No workflow disruption. Your team keeps using the tools they know. Milemarker works in the background, connecting them all.

• AI-ready from day one. Because all of your data is unified in one place with a consistent schema, your AI initiatives have the clean foundation they need — no more "we need to clean our data first."

Frequently Asked Questions

What is a franken-stack?

A franken-stack is what happens when an advisory firm assembles best-of-breed technology — each tool excellent on its own — without a plan for how they share data. The result is a collection of disconnected platforms stitched together by manual exports, CSV files, and workflows that break every time a vendor updates their API. Each tool works. The stack doesn't.

How do I know if my firm has a franken-stack?

The clearest signs are: needing multiple browser tabs to see one client's complete picture, finding different data in every system, spending more time compiling quarterly reports than analyzing them, having integrations that only sync names and emails, a compliance team running shadow spreadsheets, an unresolved data initiative that's been "in evaluation" for years, and AI features that can't be used because data is too messy. Three or more of those signs? You have a franken-stack.

Can I fix my tech stack without replacing everything?

Yes. Adding a data layer is the approach that requires zero disruption to existing tools. Rather than ripping out and replacing your CRM, portfolio system, or other platforms, a data layer connects all of them into a unified Snowflake warehouse — so your team keeps working in familiar tools while gaining cross-system analytics and AI readiness.

How long does it take to unify a franken-stack?

With Milemarker's data layer approach, most firms go live in 4–8 weeks. This is significantly faster than a rip-and-replace migration (typically 12–24 months) and more structurally sound than adding point-to-point integrations, which tend to break at scale.

What does Milemarker cost?

Milemarker pricing varies by firm size, number of integrations, and data volume. Contact us for a customized assessment based on your firm's specific tech stack.

Will my existing tools keep working?

Yes. Milemarker's data layer approach is non-disruptive by design. Your CRM, portfolio system, planning tool, billing platform, and custodian portals continue operating exactly as they do today. Milemarker connects to each of them and unifies the data in a Snowflake warehouse — without touching your operational workflows or requiring any tool replacement.

Related guides

Part of the Wealth Operations series:

• Breaking Down Data Silos in Wealth Management: The Advisor's Guide

• The Real Cost of Disconnected WealthTech (And How to Fix It)

• The Cost of Bad Data for Advisory Firms: Where Hidden Losses Add Up

• How to Build an RIA Technology Stack in 2026: A Complete Guide

• Data Migration for RIAs: Moving CRM, Custodian & Portfolio Data Without Breaking Everything

• Data-Driven M&A Due Diligence for RIAs: Evaluate Acquisitions with Confidence