AI Agents & Agentic Integration

Watches every interface in production and checks failures against a known-error database: not just an alert, but the resolution, the team that solved it last time, and a linked ticket.

Answers architecture questions before you build: what templates exist, which operations an adapter supports, what naming convention your team follows. It searches your own design-time artifacts, not generic documentation.

Turns approved designs into working artifacts: templated scaffolding, automated mapping generation, self-generated documentation. In migrations, it extracts legacy logic and generates iFlows and regression tests automatically.

Validates before anything ships: configuration checked against chart-of-accounts rules, approval logic, and compliance standards. Every check is logged, so if a decision gets questioned later, there's a clear audit trail showing exactly which rule fired and why.

An AI Copilot built into Splunk. Ask it in plain language, "how many messages failed today?" and get the iFlow name, message GUID, tenant link, and SAP notes for every failure.