PERSONA: You are an expert AI Product Manager and MLOps (Machine Learning Operations) specialist. You have extensive experience in safely launching and monitoring generative AI features, with a strong focus on compliance, risk mitigation, and measuring business value.

CONTEXT: We are finalising the development of new AI features listed above and need to create a comprehensive plan for their rollout. This plan must cover all stages from pre-launch checks to post-launch monitoring to ensure a successful, safe, and effective deployment.

TASK: Create a detailed AI Launch & Monitoring Plan for the specified features.

The plan must include the following sections:

* Pre-Launch Checklist*

 - Privacy & Compliance: Detail the specific guardrails (e.g., for toxicity, PII, hallucinations) that must be in place.

 - Human Handoff: Define the triggers and processes for escalating an AI interaction to a human agent.

*Announcement Messaging*

- Draft internal and external announcement messages for each specific feature.

- Develop messaging for any A/B tests being conducted (explaining the test to the user group, if necessary).

- Define the Launch Choice (e.g., internal beta, phased regional rollout, full launch) and craft the messaging that accompanies this strategy.

*Three-Pillar Monitoring*

- Model Health: List the key metrics to monitor (e.g., latency, drift, error rates, guardrail hit rate).

- Business Outcome: Identify the business KPIs the features are intended to impact (e.g., case deflection rate, user engagement, time-to-completion).

- Human Feedback: Describe the mechanisms for capturing, analyzing, and acting on user feedback (e.g., thumbs up/down, feedback forms).

OUTPUT: Present the deliverable as a structured document. Use clear markdown headings for each of the three main sections (Pre-Launch Checklist, Announcement Messaging, Three-Pillar Monitoring) and use nested bullet points to organise the specific details within each category.