Insights on project management, Microsoft Project migration, and AI-powered planning.
Showing 9 of 325 posts
A project management API only earns its keep in four jobs: warehouse sync, intake automation, notifications, and AI agents acting on live data.
GitHub project management integration works as a one-way sync per data type: commits and issues flow to the PM tool, planning flows back to milestones.
Project management Teams integration works when the PM tool stays the system of record and Teams only surfaces tasks, approvals, and status updates.
Project management Power BI reporting earns its cost for cross-source analytics and exec KPIs; native dashboards cover most day-to-day PMO reporting.
Build vs buy project management tooling rarely favors build: the license fee is visible, the maintenance headcount is not, and it never goes away.
PM tool total cost of ownership includes migration, training, and admin overhead the license price hides; the cheapest seat fee often costs the most.
Switching project management tools costs more than the new license: retraining, rebuilt reports, and a parallel-run period nobody puts in the budget.
A project business case gets funded when it opens with the cost of inaction, not the tool's features. The five-part structure that works, plus what to cut.
PM tool evaluation criteria that predict fit: scheduling depth, resource model, governance, integrations, and total cost, not a checklist every vendor passes.