AI for wealth management in Miami. Reporting automation. Knowledge preservation. Private AI.
You're managing a family office or running a wealth advisory firm in Brickell. Your quarterly reports take 15 days. Your institutional knowledge lives in people's heads and Outlook inboxes. Your CFO wants automation, your compliance officer wants control, and nobody agrees on where to start.
AI consulting for Miami financial services consolidates scattered data. Outlook, Adepar, file servers, Excel, into unified dashboards and private AI assistants. Work-Smart.ai builds on-site in South Florida. Bilingual (English/Spanish). Fixed-fee diagnostic.
Four problems every Miami wealth manager knows.
Miami is the wealth management capital of the Western Hemisphere. Capital flows from Latin America. Family offices concentrate here. But the infrastructure often runs on Rolodex and Excel.
Knowledge trapped in people
A managing partner retires after 20 years. The firm loses the ability to evaluate a specific hedge fund manager because the decision rationale was in that person's head. You can't recreate it. You can't systematize it. If someone asks "What's our investment philosophy?" the answer depends on who you ask.
Quarterly reporting cycles
You have 200 clients. Each account is split across multiple managers and custodians. Every quarter, you consolidate data from four systems, reconcile it, create a custom report per client, and email it. That's 10-15 people-days of work. 80% of that work is moving data between systems and formatting, not analysis.
Compliance burden
You manage money under IFRS, CMF regulations, and SEC rules. Your compliance team manually verifies that financial statements align with regulations. When data is scattered across systems, compliance is manual and error-prone. When data is consolidated and governed, compliance becomes auditable.
Invisible to AI search
A prospect asks ChatGPT: "What asset managers in Miami have expertise in international equities?" Your firm has that expertise. But AI has never seen your name in that context because you're not published anywhere about your investment approach. You need to be visible not just on Google, but in AI search.
A wealth advisory firm managing $14B in assets. Quarterly reports from 15 days to 4 hours.
My flagship engagement is with a wealth advisory firm in Miami managing $14B in assets. Their problem: 12 years of institutional knowledge in Outlook, quarterly reporting that consumed weeks of analyst time, and no visibility into how they appeared when prospects searched for wealth managers in AI tools. Here is how we built it:
Knowledge consolidation.
A wealth advisory firm in Miami managing $14B in assets had 12 years of institutional knowledge in Outlook. A deep archive of documents. Thousands of decisions and rationales in email. We built a searchable knowledge system that indexed their strategic decisions. When an analyst asks "What was our position on tech sector exposure in Q3 2019 and why?" the answer comes in seconds, not hours of manual searching.
Quarterly reporting automation.
Quarterly reports were taking 15 days. We automated the data consolidation step. The system now pulls client data from multiple custodians, reconciles it, creates custom reports per client, and sends them automatically. Quarterly reporting went from 15 days to 4 hours to 12 days of freed-up analyst time per quarter per person.
AI visibility and governance.
We published their investment philosophy, approach, and track record in structured data format. We built governance around which information is public, which is confidential, and which is client-privileged. Now when a prospect asks an LLM about wealth managers in Miami with LATAM exposure, the firm is cited, because the information is published, structured, and authoritative.
Retained operations.
Monthly updates. Ad-hoc analysis. New client onboarding systems. The system adapts as the firm grows and regulatory requirements shift.
The engagement was 12 weeks for the foundation build. The payoff was both operational. 12 days per quarter freed up per analyst, and competitive: the firm is now cited by LLMs when prospects search for wealth managers with LATAM expertise.
Cost: fixed-fee build. Payback: 2 quarters of freed analyst time.
Your data never goes to OpenAI. Every number is auditable. Every decision is logged.
Wealth management firms can't use public ChatGPT. Client data is confidential. Portfolio decisions are privileged. Regulatory bodies expect audit trails. If you put client information into a public AI tool and it gets breached, that's an SEC problem, not just a technology problem.
Every system I build uses private AI with zero-retention APIs. Your data is search-only, you ask a question, the system searches your documents, it returns an answer. The query is logged and then deleted. Nothing is stored on OpenAI's servers. Nothing is used to train a model. Your compliance officer can trace every generated number back to its source.
For firms managing assets across multiple jurisdictions. IFRS, CMF, SEC, we build systems that respect the regulatory context of each jurisdiction. Data that's public in one country might be confidential in another. That distinction is built into the architecture, not bolted on afterward.
Brickell. LATAM capital flows. In-person meetings.
Wealth management is personal. You need someone who understands Miami's market, the Brickell financial district, the LATAM connections, the regulatory environment across multiple jurisdictions. Someone who understands that your data includes sovereign wealth structures, family office governance, and cross-border tax considerations.
I work in-person with financial firms in Miami. I understand the bilingual reality. English-speaking principals, Spanish-speaking clients and analysts. I've seen how institutional knowledge gets locked inside long-tenured partners and what happens when those people leave.
When something breaks, I respond the same day. Not "we'll schedule a call next week." Same day.
The AI Ops Audit for financial services. Fixed fee. 2-3 weeks.
Most Miami wealth management firms find they should start with knowledge consolidation or reporting automation. Some need compliance governance first. The audit tells you which makes sense for your specific infrastructure, and exactly what it would cost.
Discovery
We map your infrastructure. Where is client data living? Where do you generate reports? How long does the quarterly close take? What's your audit schedule? Which data is confidential, which is privileged, which is public? We examine your compliance requirements and where institutional knowledge is stored.
Analysis
We calculate the cost of not automating. If analysts spend 10 days per quarter on reporting, what's that worth at loaded cost? If institutional knowledge is tribal, what's the cost of losing a key person? If audit prep takes three weeks, what's the business impact?
Roadmap
We deliver a specific roadmap. Which problem should we solve first, knowledge management or reporting automation? What does it cost? What's the timeline? What are the governance and compliance implications? Fixed fee. No surprises.
You'll know the exact cost and timeline before we start. Fixed fee. No surprises. And you'll understand the regulatory and governance implications before a line of code is written.
Frequently Asked Questions
For a firm managing $5B-$10B in assets with simple structures: a focused fixed-fee foundation build. For a firm managing multiple funds across jurisdictions with complex compliance requirements: a larger fixed-fee build. The AI Ops Audit gives you the exact number for your firm.
No. We integrate with what you have. If you're using Tamarac, Orion, Salesforce, NetSuite, QuickBooks, or custom systems, we build on top of that. You don't replace anything.
We build governance and auditability into the system. Every report generated is timestamped and auditable. Every data transformation is logged. Your compliance officer can trace every number back to its source. And we use private AI with zero-retention, so sensitive data never leaves your control.
That's common in Miami. We build systems that respect the regulatory context of each jurisdiction. Data that's public in one country might be confidential in another. Our systems handle that distinction.
6-12 weeks depending on how complex your infrastructure is. You're using systems in production while we build, not waiting until the end to see something work. By week 4, you typically have the knowledge system live. By week 8, reporting automation is working.
Yes. That's a separate project from operational AI. We call it GEO. Generative Engine Optimization. It involves publishing your investment philosophy and approach in structured formats so AI search engines can cite you. Most wealth management firms find they can become cited by LLMs within 60-90 days of implementing GEO.
That's our specialty. We build consolidation layers that talk to different custodian APIs, reconcile the data, and present a unified view. That's where most of the engineering complexity lives. But it's a solved problem.
Most Miami wealth management firms are doing quarterly closes the same way they did 10 years ago. Reporting is manual. Knowledge is tribal. Visibility to prospects is limited.
The AI Ops Audit is designed for financial services. Two to three weeks. We show you exactly what would change, what it would cost, and what the compliance and governance implications are.