Prepare the application before the caseworker opens it.
A submitted form is only the beginning. Someone still needs to read attachments, compare details with the participant’s record and identify what is missing before a review can move forward.
A configured REDA AI agent could read the supported documents, organise the relevant values, compare them with selected Salesforce records and prepare a review summary. Your team sees the questions to resolve before making a program decision.
What to aim for
Less repeated reading and rekeying; a clearer review queue.
Setup, decisions & measures
What this needs. Agree the document types, required fields, program rules and where proposed values will be displayed. A review screen or field-level acceptance experience may need customer-specific configuration or development. Test missing pages, poor scans, conflicting values and duplicate submissions.
Your team’s decision. The caseworker confirms the information and decides eligibility. Confidence indicators, where configured, are signals for review—not validated probabilities that a value is correct.
What to measure. Staff handling time per reviewed application; corrections after review; incomplete submissions identified; credits per completed review.