The document is a marketing feature spotlight for PageProof Intelligence®, an AI‑enhanced proofing system that introduces “agentic proofing” – artificial‑intelligence‑driven markup suggestions and intelligent discovery within the review workflow. It emphasizes four core pillars: (1) Controlled intelligence with strict data‑privacy controls (opt‑in, no use of customer data to train external models, admin‑level feature toggles); (2) AI‑guided review tools such as AI‑suggested markups, custom PI agents, PI Smart Tags, Smart Check, and Smart Compare that surface hidden file details and changes; (3) Workflow insights via PI Insights dashboards and reports that surface trends, blocked work, and next‑action recommendations; and (4) Trust and authenticity through PI Content Credentials that reveal authorship, tool provenance, and AI involvement. The spotlight includes an embedded example – a single‑page dieline for an ACME packaging proof – where the AI identifies seven issues (spelling error, QR codes placed on fold seams, misaligned artwork, low‑contrast text, barcode too close to edge), illustrating the practical value of the system. The overall message is that PageProof Intelligence enables faster, more accurate reviews while maintaining data security and giving teams control over AI features.
Topics
Agentic Proofing: AI‑Generated Markup Assistance
Introduction of AI that automatically suggests markups and highlights issues directly within the proof, reducing manual review effort.
Controlled Intelligence: Privacy‑First Data Governance
Explanation of strict data controls – opt‑in usage, no training of public or third‑party models, and admin‑level enable/disable of PI features to align with corporate policy.
Intelligent Review Suite: Smart Tags, Smart Check, Smart Compare
Detailing the suite of AI‑driven analysis tools that uncover hidden file details, detect changes, and surface issues across the proof.
Workflow Insights: PI Insights Dashboard & Reports
Presentation of analytics that surface trends, blocked work, and actionable next steps, helping teams prioritize review tasks.
Content Authenticity: PI Content Credentials
Feature that reveals authorship, tools used, and AI involvement to ensure trust and provenance of the proof content.
Real‑World Example: Dieline Review Highlighting Seven Critical Issues
Embedded transcription of an AI‑generated review of an ACME packaging dieline, illustrating how the system catches spelling errors, QR‑code placement problems, artwork misalignment, low contrast text, and barcode positioning.