Enterprise AI Scenarios

Introduction

Realistic enterprise scenarios you'll face on the job — compliance, multi-tenant, scale, cost, governance.

Understanding the topic

Core concepts:

• Design a SOC2-compliant customer-support agent.
• Multi-tenant prompt + memory isolation.
• Per-tenant cost capture & billing.
• Region-locked data residency for EU customers.
• Audit log for every destructive tool call.
• Role-based tool allow-lists.
• Disaster recovery for the agent platform.
• Migrate from one LLM vendor to another safely.
• Roll out a new prompt to 10% of tenants.
• Incident response when an agent leaks data.

Syntax reference

Visual workflow / architecture:

Tenant Req → AuthZ → Agent → Tools
                                   │
                                   ▼
                             Audit + Cost + Region

Real-world use

These come straight from Salesforce, Microsoft, ServiceNow, Atlassian and Workday playbooks.

Best practices

• Reuse existing IAM, SSO, SIEM.
• Bake governance in from day one.

Common mistakes

• Building enterprise features bolt-on after launch.

Hands-on exercise

Interview preparation — practice these questions:

• Q1. Five enterprise concerns.
• Q2. How do you implement tenant isolation in memory?
• Q3. Scenario: legal demands EU data residency in 30 days. Plan?