Forward Deployed Engineers: Why Finance Firms Need One, and What the Term Actually Means
Forward deployed engineers are AI's hottest role. Here's what an FDE is, why wealth managers and family offices need one, and how a boutique model fits finance.
Blog
Insights, use cases, and success stories from the world of enterprise AI.
Stop Renting All Your Intelligence: Why Local LLMs Are Becoming an Enterprise Necessity
Cloud AI providers are pulling back subsidies, tightening rate limits, and shifting to usage-based pricing. For financial services firms running mission-critical AI workflows, the flat-fee era is over — and a hybrid local/cloud LLM architecture is becoming a necessity, not a luxury.
Your AI Doesn't Remember Anything. Here's How to Fix That.
Every AI tool built for financial services hits the same wall: the system starts from scratch every time. Garry Tan's open-source GBrain project introduces a compiled-truth-plus-timeline memory model that maps directly to wealth management, research, compliance, and deal pipeline intelligence.
The AI Adoption Catch-22: You Need People to Implement the Thing That Threatens to Replace Them
To implement AI at a company, you need the help of the people whose jobs AI might change. This catch-22 is one of the biggest reasons we're not seeing the level of adoption the technology warrants.
What If Your AI Actually Knew Your Clients? Personal AI Infrastructure for Wealth Management
Daniel Miessler's open-source Personal AI Infrastructure project points toward a future where AI doesn't just answer questions — it remembers, learns, and aligns with your goals over time. For wealth managers and family offices, that shift changes everything.
Just Talk To It: What the Creator of OpenClaw Can Teach Wealth Managers About AI
Peter Steinberger built OpenClaw — the fastest-growing open-source project in GitHub history — by rejecting complexity and just talking to AI. His philosophy carries a direct lesson for wealth managers and family offices: the firms that will win with AI are the ones that stop over-engineering it and start with simple, focused conversations about real problems.
Right-Sized AI: Why Your Enterprise Deployment Isn't the Problem — and How to Keep It That Way
The headlines about AI energy consumption are alarming — but they're driven by hyperscale training and consumer inference, not enterprise deployments. Here's why the distinction matters and how to build responsibly.
How We Built AI-Powered Fraud Detection for Under $200/Month
A financial services firm transformed months of manual transaction review into automated daily insights using Azure OpenAI and open-source workflow automation—without breaking the budget or compromising data security.
Leaked System Prompts From Major AI Players: Learn How to Use Their Techniques to Get the Most Out of Your AI Projects
Discover how leaked system prompts from ChatGPT, Claude, Gemini, and other major AI services reveal the secrets to building effective AI applications. Learn the patterns, principles, and best practices used by industry leaders.
1,001 Real-World AI Use Cases from Google: Proven Success Stories You Can Implement
Discover how leading financial institutions are successfully implementing AI solutions. These proven use cases, published by Google, can be adapted to your Microsoft Azure and enterprise stack.