Lesson 7.1 – Launching Safely and Strategically

🎯 Learning Objectives

By the end of this lesson, you will be able to:

• Understand the critical safety and security considerations when launching an AI Agent

• Implement access control and audit oversight using the raia platform

• Add the necessary legal protections for public-facing deployments

• Incorporate AI safety guardrails into Agent design and instructions

• Assign operational roles to ensure responsible oversight post-launch

🚀 Launch Is Not the End—It's the Beginning of Real Responsibility

Launching your AI Agent is exciting—but it's also the moment where accountability, security, and oversight become paramount.

Much like launching any enterprise system, a successful AI launch includes:

• Access control

• Legal alignment

• Monitoring

• Abuse prevention

• Clear roles and responsibilities

This lesson gives you the checklist to launch confidently, safely, and strategically.

🔐 1. Control Who Can Access the Agent

AI Agents—especially when integrated into internal systems or customer workflows—must be governed with care.

In raia, you can configure Access Control at the Agent level, including:

• Who can start a session

• What channels are enabled (Copilot, SMS, API, Chat)

• API key restrictions

• Role-based permissions (e.g., read-only vs. feedback-enabled)

Best Practices:

• Keep testing Agents in private mode until validated

• For internal-only Agents, disable external channels (Live Chat, SMS, etc.)

• If embedding on public websites, ensure rate limits and throttling are in place

🕵️ 2. Assign an Oversight Role

Someone on your team should be the AI Agent Monitor—the point of contact for:

• Reviewing usage logs

• Investigating unusual behavior

• Evaluating feedback trends

• Approving updates to the Agent

In the raia platform, they can access:

• Conversation transcripts

• Feedback scores (GOOD/BAD)

• Audit trails

• Metadata summaries of user sessions

This person doesn’t have to be technical—but they must understand the Agent’s purpose and how to review it objectively.

Tip: Review logs weekly during initial rollout and monthly post-stabilization.

📄 3. Update Terms, Conditions & Privacy Policy (If Public)

If your AI Agent is customer-facing (e.g., embedded on a website or inside a software product), you must update:

• Terms of Service to disclose AI use and limitations

• Privacy Policy to state how conversations are handled, stored, or reviewed

• Optionally, provide a "Powered by AI" disclosure near the interface

Why it matters:

• Customers deserve transparency

• You reduce risk and liability

• You meet regulatory and ethical standards

📘 See examples of this in [Module 9 – Security, Compliance, and Governance]

⚠️ 4. Add Safety Guardrails in the Agent Instructions

While raia uses OpenAI Enterprise models, which include industry-leading safety filters, it’s still your responsibility to ensure your Agent behaves safely.

Embed safety rules directly in the Agent’s system instructions:

• “Do not answer legal, medical, or financial questions.”

• “Never offer personal advice.”

• “Always refer sensitive issues to a human.”

• “Avoid speculative or emotional responses.”

🧠 You can also include:

• Tone restrictions (e.g., avoid sarcasm or humor in certain use cases)

• Refusal patterns (e.g., “I’m sorry, I cannot answer that.”)

• Escalation logic (e.g., “Would you like to speak to a human?”)

📘 See related instructional setup examples in [Lesson 4.3 – Interface Selection and UX Design]

👮 5. Watch for Abuse & Misuse

Once live, your AI Agent may be tested—by users, bad actors, or curious employees.

Implement:

• Logging of every interaction

• Monitoring of offensive language or keyword triggers

• Automatic flagging of repeated “BAD” feedback from users

• Optional response caps per session or IP

Tip: Use n8n to create alerts for certain Agent behavior (e.g., “User tried to extract internal data”)

🧪 6. Test Security Before Full Launch

Before making your Agent widely available:

• Test its response to unexpected prompts

• Try injecting it with irrelevant, misleading, or malicious inputs

• Validate that it doesn’t:

  • Leak private information

  • Misinterpret critical instructions

  • Operate functions or workflows without proper input validation

Use raia Copilot and Simulator for these security drills.

📝 Agent Safety Checklist

✅ Key Takeaways

• Going live means managing risk, not just launching features

• Set clear access controls for who can interact with the Agent and how

• Assign oversight so someone is accountable for what the Agent does

• Always disclose AI use in public-facing deployments

• Leverage raia’s enterprise features—logs, audit, feedback—to maintain safety

• Think like a security team: test your Agent before others test it for you