How can AI-powered workload forecasting be configured in Wrike

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I’ve heard Wrike has AI-based features for forecasting workloads, but I haven’t figured out how to configure it properly. Has anyone set this up to help predict future resource needs or avoid burnout in Agile teams?
Apr 7 in PMP by Parshvi
• 7,860 points
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1 answer to this question.

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Wrike's AI tools are excellent for estimating workloads, identifying bottlenecks, and assisting project managers in making data-driven staffing choices. To set it up properly, you will need to enable the appropriate features and provide accurate task data.

  • Use Workload Charts – Plan resource allocation based on task effort and team capability.

  • Set effort estimates – Each job should include a time estimate, which AI models will use to predict future workloads.

  • Activate AI suggestions – Wrike's Work Intelligence recommends task owners, risk flags, and possible overloads based on past performance.

  • Integrate time monitoring – Tools such as Harvest and Wrike Time monitoring increase accuracy by displaying how long activities really take.

  • Monitor AI insights – The platform may alert you to tasks that may be late, allowing you to change before problems develop.

  • Run scenario planning – Simulate what-if situations by adjusting priorities or resources and tracking expected changes.

This arrangement enables you to predict hazards, effectively allocate work, and enhance team productivity far before actual issues arise.

answered Apr 8 by Naira

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