A regulated insurer is modernizing a model-driven claims app and wants an AI-driven workspace page for adjusters plus a supervision surface for…

The solution requires a code-first, AI-driven user interface, a supervision surface, and strict governance controls. A generative page (B) provides the modern, code-first React-based UI for case triage within the model-driven app. An agent feed with approval-required actions (D) is the designated built-in surface for supervising autonomous tasks and enforcing human-in-the-loop for high-risk actions, ensuring auditability. An environment-level Data Loss Prevention (DLP) policy (F) allows a central admin to restrict connector usage, enforcing private-only data access and maintaining compliance across all environments.

A. Public website grounding for policy updates: This violates the explicit "private-only access" and in-region data residency requirements for a regulated entity.

C. Power Apps code app for custom React portal: A generative page is a more integrated and specific solution for a page within a model-driven app than a standalone code app.

E. Tenant setting for Copilot in Power Apps: This is a general enablement switch, not the specific granular control needed for connector restrictions, which is managed by DLP policies.

1. Microsoft Learn. (2024). Add an AI-generated page to a model-driven app (preview). In Power Apps documentation. Section: "How it works". This document describes how generative pages create a React web resource for a code-first UI.

2. Microsoft Learn. (2024). Microsoft Copilot Studio: Human-agent escalation and monitoring. This documentation outlines the patterns for agent supervision and human-in-the-loop approvals, which are surfaced in an agent feed.

3. Microsoft Learn. (2024). Data loss prevention (DLP) policies. In Power Platform documentation. Section: "Environment-level DLP policies". This explains how administrators can scope policies to specific environments to control connector availability.