Project disruptions are no longer the exception — it's the norm. Whether it's economic volatility, supply chain breakdowns, or rapid technology shifts, today's project teams need more than a solid plan. They need resilience. In this Milestone, we break down exactly how to build that resilience — from adaptive planning and scenario mapping to strengthening communication channels and anchoring your team to a shared purpose. Milestone: Building Resilient Projects …
Mathis Group Newsletters
Selecting an AI Tool
Selecting an AI Tool With so many AI tools flooding the market, how do you know which one is actually right for your organization? Our June AI Simplified tackles this head-on with a deep dive into what it really takes to make a smart, strategic AI investment. Here's what we cover: • Why the best AI tool isn't the most popular one — it's the one that fits your use case, risk profile, and governance needs • Key terminology every decision-maker should understand: generative AI, hallucinations, explainability, interoperability, and more • A step-by-step evaluation methodology: needs assessment → comparative analysis → pilot testing → risk assessment → stakeholder review • Real-world examples from healthcare, education, sales, project management, and consulting Whether you're just beginning your AI journey or reassessing tools you already use, this guide will help you ask the right questions — and avoid costly mistakes. AI Simplified: Selecting an AI Tool …
Inventing Tomorrow’s Metrics
For decades, project managers have measured success by three criteria: on time, on budget, and on scope. But in today's world of distributed teams, AI-assisted workflows, and real-time stakeholder expectations, is that still enough? Our June Milestone tackles that question head-on. Forward-thinking organizations are already exploring a broader set of indicators — team health scores, decision velocity, rework rates, and AI-powered predictive tools that flag risk before it shows up in a status report. Bad metrics don't just fail to measure success — they actively encourage the wrong kind of performance. Effective future metrics need to be honest, contextual, and tied to genuine outcomes — rewarding learning and transparency, not just delivery and compliance. Reinventing your metrics isn't a technical exercise. It's a leadership one. Milestone: Inventing Tomorrow's Metrics …
