Most HR AI projects do not fail because the tool is broken.
By Nelson Spencer

Most HR AI projects fail because teams deploy technology without changing workflows or habits. Vendors show features, integrations, and ROI, but they rarely address what it takes for a team to actually use the tool.
Warning signs include vendors focusing on features over your real problems, teams learning about the tool after the decision is made, and implementation plans that end at go-live instead of behavior change.
Successful companies start with workflow assessment, involve teams in tool selection, and treat change management as part of implementation.
The most successful teams map current workflows first, involve end users in the process, and plan for behavior change rather than simple software deployment.
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