Ideas and perspectives for building stronger organizations
Explore practical guidance, research, and perspectives from The Bradbury Group on leadership, organizational performance, workplace culture, and sustainable growth.
Leading Through AI Adoption Without Losing Your Team
Executives who introduce AI as a mandate rather than a shared practice tend to see slower adoption and higher resistance. Here's what changes when leadership goes first.
Onboarding New Hires Into an AI-Augmented Workflow
New hires who learn a role's AI-assisted shortcuts before they understand the underlying judgment calls tend to plateau early. Onboarding order matters.
What AI-Ready Talent Pipelines Actually Require
Hiring for AI skills alone misses the point. The organizations building durable capability are investing in judgment, verification habits, and domain expertise — not just tool proficiency.
Measuring AI ROI Beyond Time Saved
Time-saved metrics are the easiest AI ROI number to report and the least predictive of whether a program should be renewed. Here's what to track instead.
Why Middle Managers Determine Whether AI Training Sticks
Executive sponsorship gets AI training funded. Whether it actually changes daily work depends almost entirely on the managers sitting between strategy and the team.
The Governance Layer Most AI Rollouts Skip
Teams move fast on AI pilots and slow down only after something goes wrong. A lightweight governance layer up front prevents most of the rework we see later.
Psychological Safety Is a Prerequisite for AI Fluency
Employees who fear being replaced by AI don't experiment with it in the open. Building genuine fluency requires a culture where mistakes with new tools are treated as learning, not liability.
Strategy Before Implementation: A Framework for AI Investment
Most AI initiatives fail not because the technology underperforms, but because the organization skipped straight to tooling without a strategy for how work should change.