Enterprise AI Agents

Introduction

Enterprise AI agents combine domain knowledge, integrations (Salesforce, SAP, ServiceNow), governance, and SSO. Selling them requires SOC 2, audit logs, and data residency — not just smart prompts.

Beginner analogy: Like rolling out any enterprise software, but with AI inside that needs extra governance.

Understanding the topic

Core concepts to understand:

• SSO / RBAC integration day one.
• Audit logs for every agent action.
• Data residency + SOC 2 / ISO 27001.
• Per-tenant evals to prove value.
• Connectors for Salesforce, SAP, ServiceNow, Workday.

Syntax reference

Visual workflow / architecture:

Enterprise AI Agent Stack
  ────────────────────────────
  UI · SSO · RBAC · Audit
  ↓
  Agent runtime (LangGraph)
  ↓
  Connectors (CRM, ERP, ITSM)
  ↓
  Vector DB · LLM · Eval

Real-world use

Sierra, Decagon, Cresta, Glean, MoveworksAI are enterprise agent leaders.

Best practices

• Never ship without audit logs and SSO.
• Deliver per-customer evals + metrics.
• Sign SOC 2 / data-handling agreements.

Hands-on exercise

Interview preparation — practice these questions:

• Q1. What does enterprise readiness mean for AI agents?
• Q2. Why per-tenant evals?
• Q3. Top concerns when selling to enterprise?