"The failure rarely sits with the technology. The breakdown sits in adoption design. Many organizations treat AI as an IT rollout or a standard change initiative. Tools gain approval. Policies circulate. Training launches. What's missing is the rigor leaders apply to external products. Employees receive tools without a clear value proposition. Managers face delivery pressure without added capacity. Governance favors control over learning."
"Dana, a VP leading AI enablement at a global business-to-business services firm, lived this firsthand. The mandate was clear: deploy approved AI tools across marketing, sales, and customer success within eight months. Legal and PR aligned. Training sessions were launched as well as dashboards to track usage. On paper, the rollout looked disciplined. Usage dashboards showed logins, prompts, and license activity."
AI deployments often stall not because of technology but because of poor adoption design. Organizations treat AI like IT rollouts, focusing on approvals, policies, and training while neglecting clear value propositions and manager capacity. Approved platforms can add steps, limit outputs, and misalign with workflows, prompting employees to use external tools. Top-down mandates push usability work into middle management, creating hesitation, burnout, and fragmented execution. Usage metrics can mask superficial compliance; dashboards show activity without demonstrating real client-facing value. Effective adoption requires designing tools around user workflows, adding delivery capacity, and favoring learning-centered governance over control.
Read at Fast Company
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