How AI is Changing the Way We Plan Projects
AI tools are showing up in project management fast. Here's what's actually useful, what's hype, and how to start using AI without losing control of your delivery.
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Thoughts on AI, program management, agile delivery, and technical leadership — written in plain language.
AI tools are showing up in project management fast. Here's what's actually useful, what's hype, and how to start using AI without losing control of your delivery.
Read PostLessons from leading a Google Vertex AI integration into a live enterprise product — what went smoothly, what didn't, and what I'd do differently.
You don't need to understand machine learning to manage an AI project. You do need to understand a few key ideas — here they are, explained simply.
How to implement SAFe and Scrum in large enterprise teams while maintaining velocity and quality. Lessons from scaling delivery across 24+ engineers in multiple time zones.
The difference between measuring what matters and measuring what's easy. A practical guide to aligning engineering roadmaps with business outcomes using OKRs.
Good sprint planning doesn't happen by accident. Here's the checklist I run through before every sprint to make sure the team starts the week with clarity, not confusion.
Retrospectives get a bad reputation — too often they're a complaint session with no follow-through. Here's how to run one that actually improves how your team works.
Not all metrics are created equal. Here are the delivery metrics I track in every program — and the ones I've stopped paying attention to.
Most risk registers collect dust. Here's how to build a living risk management practice that surfaces blockers early and keeps delivery on track.