How do allocation suggestions work?
Workload uses intelligent scoring to match generic resources with team members: required skills, availability for the period, and conflict detection. Available from the Professional plan.
Features by plan
Jira Tempo, Azure DevOps, and Toggl integrations from the Professional plan
The Starter plan includes the full trial and CSV import; native integrations start on Professional.
Compare plans →Transparent Scoring for IT Resource Allocation
Skills, availability, you decide
Rank assignments with transparent compatibility scores (0–100). Detect conflicts early — no opaque ML on your data.
Frequently Asked Questions
How do allocation suggestions work?+
Workload calculates a compatibility score (0–100) for each member: skill match, available days in the period, and allocation or leave conflicts. Top suggestions are ranked with a clear explanation. This is not a machine-learning model trained on your data—it is transparent business scoring, optionally enriched with generative AI for explanatory text.
Can I accept or reject suggestions?+
Yes. Workload ranks suggestions; you approve, adjust, or reject each assignment. Scoring stays transparent (skills + availability), without machine learning trained on your data.
Are suggestions transparent?+
Yes: 0–100 score, skills/availability breakdown, and explanatory text. You see why a resource is proposed before deciding.
Does AI replace managers?+
No. Intelligent scoring assists decisions; managers keep final control over every allocation.