AI-generated summary
Genesys Cloud's predictive routing benefit assessment evaluates optimization potential across key performance indicators (KPIs) and individual queues without impacting current operations or incurring costs. The assessment operates organization-wide initially, then on a queue-by-queue basis for subsequent evaluations, displaying potential improvements through high (green) or low (yellow) optimization indicators.
Access to the benefit assessment requires permissions under Routing > Assessment and Routing > Key Performance Indicator – View. The platform performs comprehensive validation checks for each queue, including verification of minimum interaction thresholds (45 days with daily interactions and at least 900 total inbound interactions within the most recent 90-day period), assessment of KPI optimization potential (average handle time exceeding 180 seconds and custom KPI values above 2 percent), and confirmation of sufficient agent performance variation. Users access the assessment through Menu > User Management > Queues, where a "Learn More" link initiates the organization-level evaluation, with the Predictive Routing Evaluation column displaying processing status.
The assessment results indicate optimization potential per queue, with low-potential queues remaining eligible for activation despite demonstrating less benefit than high-potential alternatives. When queues contain multiple media types with different optimization results, the assessment displays only the highest potential outcome. Genesys Cloud creates and tests AI models to predict agent performance; if tests fail, the system cannot accurately predict performance based on available data, though this may change as queue conditions evolve.
Next steps depend on AI Experience token availability. Users with existing tokens can proceed directly to routing comparison testing or activation, while those without tokens must purchase them through AppFoundry. Users can rerun assessments via the Queue Benefit Assessment pane and access detailed KPI-specific results by clicking the Optimization Potential link. The workflow concludes with options to either run a comparison test or activate predictive routing on the selected queue. Queue settings and current operations remain unaffected during assessment execution.