About CreditOps AI
An independent demonstration of production support, SRE, and AI engineering.
Operational authority stays
with human engineers.
CreditOps AI demonstrates how production-support teams can turn fragmented diagnostic signals into an inspectable incident assessment. The project models electronic credit trading workflows using fictional services, clients, RFQs, orders, and FIX sessions.
Why this project exists
An incident rarely arrives with its cause attached. Latency, stale quotes, consumer backlog, session reconnects, and deployment changes live in different systems. This console connects those signals through bounded tools and stable evidence references, giving an engineer a reviewable starting point for triage.
Evidence before certainty
The investigator separates observations, supported failure conditions, candidate triggers and unknown causes. Its support score is uncalibrated, and its domain-specific checks do not establish arbitrary claim truth. The selected recordings preserve real model proposals and separate validation with project review notes. Playback makes no new model or recorded-tool calls. The legacy deterministic MCP demonstration remains a separate path. Synthetic evaluations do not establish financial losses or production outcomes.
Why production mutation is excluded
CreditOps AI intentionally exposes diagnostic capabilities only. AI recommendations are advisory. Production mutation tools are excluded by design.
No agent tool can restart a service, roll back a deployment, scale infrastructure, execute shell commands, or mutate records. Diagnostic telemetry is sanitized and treated as untrusted data. Suggested next steps remain subject to human verification.
Scope & limitations
This is a compact, independently built demonstration. It does not connect to real trading systems and has no real customer or incident data. The three selected completed examples are development recordings, with earlier failed or abstaining attempts preserved. They do not establish general live-model accuracy. Original model latency and synthetic benchmark latency are not measured reductions in real production MTTR. Paid live-model and embedding actions are disabled in the public showcase profile.
Inspect the generated evaluationsCreditOps AI is an independent portfolio project using entirely synthetic data. It is not affiliated with or connected to any trading venue, broker, financial institution, or employer.