Welcome to rAI.invent

Falk Brauer

25 Dec 2025 — 1 min read

AI Advisory. Best Practices. Real Results.

rAI.invent is a specialized AI advisory firm helping B2B enterprises navigate the AI transformation journey with confidence and clarity.

The AI Challenge

The AI landscape is complex. From strategy to implementation, from ethics to ROI—businesses need more than technology. They need guidance.

We bridge the gap between AI hype and business reality.

Our AI Advisory Services

🎯 AI Strategy & Roadmap Development

AI readiness assessment • Use case identification • ROI modeling • Technology stack selection

🚀 AI Implementation Best Practices

POC design & execution • Vendor evaluation • Integration architecture • Team capability building

⚖️ Responsible AI Framework

AI governance policies • Ethics and bias management • Risk assessment • Regulatory compliance

📊 AI Performance Optimization

Model evaluation • Process optimization • Change management • Success metrics & KPIs

Why rAI.invent

"After advising dozens of B2B enterprises, we've seen this pattern repeatedly: Companies focus on the technology—but forget about the people."

AI succeeds when your team is ready, processes are optimized, and technology serves the business—not the other way around.

Based in Singapore 🇸🇬 | Serving Asia-Pacific & Beyond

Why Your AI Agent Needs Guardrails Before It Goes Live

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How to Build a Self-Correcting RAG System That Gets Smarter With Every Query

How to Build a Self-Correcting RAG System That Gets Smarter With Every Query TL;DR * Traditional RAG systems retrieve documents once and generate answers, but adding a feedback loop can dramatically improve accuracy * Agentic RAG introduces intelligent checkpoints where an agent grades retrieved documents and rewrites queries when needed for

Why Static Retrieval Is the Hidden Bottleneck in Agentic Systems

The pattern is always the same: an AI agent completes step one, retrieves the wrong document, and every subsequent action is built on a broken foundation. I've watched teams spend months fine tuning prompts and swapping LLMs while the real culprit hides in plain sight. Retrieval is the

The Encouraging Truth About Autonomous Code Generation: It's Working, and Here's How to Deploy It Right

CTOs are racing to accelerate development velocity, and fully autonomous AI code generation is delivering real results. Agents that write entire applications while your team focuses on higher-value work are no longer theoretical. Thoughtworks just ran a rigorous experiment that shows exactly how to make this work, and the lessons