A high-volume grant window creates a capacity and transaction-load problem , so the implementation must reduce synchronous processing, optimize content delivery, and validate the architecture at anticipated peak volume.

First, computationally expensive operations should be moved away from the synchronous user transaction when possible. Salesforce's high-volume Experience Cloud architecture uses asynchronous processing and micro-batching to prevent heavy record creation and processing from blocking interactive requests during traffic spikes.

Second, Salesforce specifically identifies Content Delivery Network (CDN), caching, Lightning Web Runtime, Apex caching, and progressive rendering among its Experience Cloud performance and scale optimization tools. CDN and caching reduce repeated server processing and improve the delivery of static or reusable resources during high traffic.

Third, the agency must test the expected peak workload rather than assuming functional UAT proves scalability. Salesforce identifies Scale Testing as an optimization tool for heavy transaction loads and customizations.

UAT remains necessary for functional acceptance but does not establish capacity under concurrent traffic. IP restrictions would deliberately restrict legitimate applicants rather than scale the application to serve the expected demand.

Study Guide Reference: Agentforce Public Sector Implementation Strategies and Best Practices – Experience Cloud scale; asynchronous processing; CDN; caching; high-volume transactions; performance and load testing.