Agentic AI Tutorial 0/80 lessons ~6 min read Lesson 50

    Enterprise Multi-Agent Systems

    Enterprise multi-agent systems run inside large companies with strict requirements: identity, audit, region, cost, SLA, compliance.

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    7 guided sections
    Practice signal
    Examples included
    Career prep
    Foundation builder

    Introduction

    Enterprise multi-agent systems run inside large companies with strict requirements: identity, audit, region, cost, SLA, compliance. Often built on Agentforce, Copilot Studio, ServiceNow AI Agents, or custom LangGraph deployments.

    Beginner analogy: a startup team of 5 vs a 5,000-person enterprise — same idea of teamwork, much more process.

    Understanding the topic

    Core concepts:

    • Multi-tenant isolation at memory + tool layers.
    • Identity propagation across agents.
    • Cost & SLA tracking per request.
    • Disaster recovery and region failover.
    • Governance dashboards for risk officers.

    Syntax reference

    Visual workflow / architecture:

    bash
    Tenant Req → AuthZ → Agent Team → Specialists
    Audit · Cost · SLA · DR

    Real-world use

    Salesforce Agentforce, Microsoft Copilot Studio, ServiceNow Now Assist, Atlassian Rovo, Workday Illuminate.

    Best practices

    • Bake in identity + audit + cost from day one.
    • Use existing IAM/SSO.

    Common mistakes

    • Building enterprise features bolt-on — refactors are brutal.

    Hands-on exercise

    Interview preparation — practice these questions:

    • Q1. Five enterprise concerns beyond a startup multi-agent.
    • Q2. How do you propagate identity across agents?
    • Q3. Scenario: a multi-agent run exceeds a tenant's monthly budget. What happens?
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