PE operating partners are under pressure to deliver repeatable value across diverse portfolio companies. Portfolio-wide workload consolidation paired with disciplined FinOps has emerged as one of the most scalable EBITDA levers—reducing run-rate costs, improving accountability, and creating a defensible board narrative without disrupting operations.Read More

Most companies can build AI pilots. Few can scale them. Learn how P&G’s “AI Factory” turns AI into a repeatable, governed capability—and how leaders can apply the same strategy to move from experiments to enterprise impact.Read More

In a single December 2025 enterprise AI strategy survey of 604 senior executives at large companies (5,000+ employees), 36% said AI is their #1 strategic priority, and another 47% put it in their top three.Read More

OpenAI’s focus on AI runtime efficiency is a signal for every business. As compute becomes the real constraint, organizations must rethink how they run AI across cloud and edge environments. The winners won’t be those that use AI the most—but those that run the right models, in the right place, at the right cost. MILL5...Read More

Discover how private equity firms can accelerate EBITDA growth using practical, production-ready AI. Learn how AI improves underwriting, claims, revenue cycle management, predictive maintenance, and operational efficiency across portfolio companies.Read More

Discover why most enterprises are overspending on AI infrastructure and how hidden cost drivers—from model selection traps to integration taxes—are draining budgets. This article reveals the five key factors behind runaway AI costs, offers a practical framework for technical leaders to optimize spending, and explains how organizations can regain financial visibility and maximize ROI on...Read More

When it comes to AI, the conversation has shifted from "if" to "how" and "when." At MILL5’s Medellin Tech Talk, we brought together technical leaders for a candid discussion about the realities of AI adoption, trust, and the global competition shaping our technological future.Read More

In the rapidly evolving landscape of AI-driven automation, Model Control Protocol (MCP) servers have emerged as a game-changer. These servers act as a bridge between AI models like Anthropic's Claude and external tools, databases, and workflows, enabling seamless integration for tasks ranging from data querying to code generation and beyond. For enterprises and small-to-medium businesses...Read More

In this article, we'll explore why making your APIs MCP-friendly is non-negotiable, dive into real-world examples across industries, and outline how MILL5 can guide you through this transformation.Read More

Join Rich Crane, Founder & CTO of MILL5, for a 30-minute, results driven webinar revealing how the Azure FinOps Analyzer delivers both immediate cost reductions and long-term efficiency gains — without sacrificing performanceRead More