System Integration: Agent-Ready APIs Across the Enterprise

Integration work in 2026 gained a demanding new consumer. Alongside web clients and batch jobs, AI agents began calling enterprise systems — and they called them at unpredictable times, in unpredictable orders, sometimes twice. Integration layers built only for well-behaved clients started to show cracks.

What agent-ready actually means

Practically, it meant three properties. Operations were idempotent, so a retried purchase order created one record rather than two. Contracts were self-describing, with OpenAPI schemas and error messages an agent could reason about instead of generic 500s. And every write path had a declared scope, so a connector granted read access to invoices could not silently issue payments.

MCP as the enterprise seam

Model Context Protocol servers matured into the standard seam between agents and systems of record. Rather than exposing raw ERP endpoints, teams published curated tools — "look up shipment status", "draft a credit note" — each with input validation, rate limits, and audit logging. High-impact operations kept a human approval gate, queuing the proposed action for a named reviewer.

Event backbones and observability

Kafka, Azure Service Bus, and outbox patterns still carried the heavy asynchronous flows between ERP, CRM, and custom services, with dead-letter queues and replay tooling. What changed was monitoring: teams tracked which caller — human or agent — drove latency, error rates, and cost, because a misconfigured agent loop could generate more traffic in an hour than a year of normal use.

PrequaliQ builds integration layers that serve applications and agents alike — versioned, observable, and safe to expose without rip-and-replace.