Craft & Code: Able Perspectives

Growing mid-market companies often hit a wall trying to scale operations. Fortune 500 enterprises don’t thrive just because they’re big – they are big because they’ve built sophisticated internal coordination and systems to control everything seamlessly. The good news is you can reverse-engineer these enterprise playbooks using agentic AI systems to get Fortune 500-level coordination without the Fortune 500 headcount or overhead.

Arnon Bruno V. Santos·Aug 5, 2025

As a CTO, the AI boom brings new terminology that's both exciting and overwhelming. When it's your job to explain these complex ideas to your leadership team or board, who aren't in the tech trenches daily, the challenge grows.

Arnon Bruno V. Santos·Jun 18, 2025

This "AI is revolutionizing..." thing has become a familiar refrain across industries, the journey from artificial intelligence research to practical implementation in private equity (PE) presents unique challenges. Integrating AI into high-stakes PE workflows, from sourcing deals to conducting due diligence and managing portfolios, requires more than just cutting-edge technology. In an industry built on expertise and trust, many investment professionals remain wary of cutting-edge black-box models guiding million-dollar decisions. This article explores the complex barriers between AI's theoretical potential and its practical application in PE, examining integration hurdles, trust issues, and real-world lessons from early adopters. We'll also investigate how bridging this gap requires a two-sided evolution: AI researchers developing more practical, interpretable solutions while PE firms build stronger technological foundations through investments in data infrastructure, talent, and cultural change.

Arnon Bruno V. Santos·Feb 7, 2025