Use Case: We’re exploring the use of Pega Blueprint and Predictable AI to build a user-friendly process where a user can create an expense order by simply uploading an invoice in a conversational interface.

What We Want to Achieve: We want the Conversational Agent to:

1. Accept an invoice document upload,

2. Understand the user's intent ("Create Expense Order"),

3. Seamlessly trigger an Automation Agent to perform document extraction using Pega’s IDP or integrated OCR,

4. Auto-populate the extracted data into the ExpenseOrder case, and

5. Confirm the result back in the chat thread for user validation.

Current Gaps / Clarification Needed:

• Is this end-to-end experience available out-of-the-box in Pega Blueprint (Conversational → Automation → Document Extraction → Case)?

• If not fully available, what are the recommended components to be wired manually?

• Can this integration be templated as a reusable pattern in future Blueprint releases (e.g., for expense processing, claims intake, onboarding, etc.)?

Enhancement Suggestion: Introduce a Blueprint template or pattern where:

• A Conversational Agent can directly invoke an Automation Agent, especially for document-based workflows.

• Document upload and data extraction is a plug-and-play step.

• Include default mapping for common document types (Invoices, Receipts, Purchase Orders) to speed up implementation.

Benefit: This would significantly reduce time-to-value for common automation scenarios and enhance the composability and reusability of Predictable AI agents across business domains.

Looking forward to your guidance or roadmap input on this feature.