Integration Patterns for Enterprise AI Agents
Agents fail in isolation. Production systems need reliable connections to ERP, CRM, ITSM, and document stores — with retries, idempotency, and audit trails.
The agent is the orchestrator, not the system of record
Agents read, classify, draft, and route. Authoritative data stays in ERP, CRM, or core banking systems. Write operations go through staging tables or APIs with human approval gates.
This pattern prevents shadow databases and keeps compliance teams comfortable.
Patterns that scale
Event-driven ingestion from webhooks and message queues. Idempotent handlers so retries don't duplicate records. Dead-letter queues for exceptions. Structured logging with correlation IDs across agent steps.
Use the same integration standards for workflow two and workflow ten — don't reinvent per project.
Security and access
Service accounts with least privilege. Secrets in vaults, not prompts. Per-tenant data boundaries for multi-division enterprises. Every external call logged with actor, payload hash, and outcome.
Apply this to your organization
Map your highest-volume workflow to a governed production roadmap.