When 200 OK Is Not OK – Ehsan Khodadadi | Signals Berlin 2026

When 200 OK Is Not OK: Reliability Engineering for AI-Powered Systems Your dashboards are green. Your API returns 200 OK. Your AI is quietly failing. AI systems fail semantically, not just at the infrastructure and availability layer. A RAG pipeline can return stale context that elevates hallucinations. An agent can loop and burn tokens. A vendor can silently swap a model. Every health check stays green. The usual SRE practices were not designed to catch these failures. This talk introduces a five-layer reliability model — foundation model, retrieval/RAG, agentic/tooling, product/experience, and cross-cutting — each with its own failure modes that cascade across layers. It presents a practical starting point built around three core SLIs: semantic quality, retrieval fidelity, and safety, and walks through a maturity ladder from no observability through to adaptive optimisation. AISRE doesn't mean using AI to improve operations. It means applying SRE principles to AI products. Speaker: Ehsan Khodadadi (ING) Recorded at Signals Berlin 2026, September 10–11, 2026, Kulturbrauerei Berlin. Full program: https://signalsconf.io/program/