Middleware and Enterprise Service Bus for AI
Common Mistakes
1. Bypassing the ESB to call AI services directly. Development teams often bypass the ESB to avoid "integration overhead." This creates ungoverned AI data flows that bypass authentication, audit logging, and PHI controls. All AI integrations must route through the ESB in organizations that have adopted API-led connectivity.
2. Not handling AI service timeouts in ESB error handlers. ESB flows that call AI services with no timeout configuration will hang indefinitely when the AI service is slow. Always configure HTTP request timeouts and error handlers for AI service calls in ESB flows.
3. Logging full request payloads in ESB for AI flows. ESB platforms often log request/response payloads for debugging. For AI flows that process PHI, this logs PHI to the ESB audit log — a HIPAA concern. Configure PHI-sensitive AI flows to log only metadata (correlation IDs, message types, timestamps), not payloads.
Key Takeaways
- AI services must integrate with existing ESB infrastructure as first-class participants, not bypass it
- API-led connectivity: expose AI capabilities as Process APIs that System APIs feed and Experience APIs consume
- ESB error handlers must return graceful fallbacks on AI service timeout — never let AI unavailability surface as ESB flow errors to upstream systems
- ESB transformation (DataWeave, XSLT) can strip PHI before forwarding to AI services, reducing the PHI access surface
- Log only ESB request metadata for AI flows, never PHI-containing payloads