The pattern: Teams demo an agent on a golden path, then ship it into SAP tickets, finance workflows, or customer email — without a gate that fails the build when the agent lies, loops, or escalates too late. In 2026 the scarce skill is not prompting. It is writing evals that match how your work actually breaks.
Why it matters: Model upgrades will keep moving the scoreboard. Eval gates keep your product honest across upgrades. If you cannot say “this agent may not merge until suite X is green,” you do not have a release process — you have a vibe.
Three gates that earn trust
- Task completion under failure — kill a tool, slow the DB, return empty search. Score whether the agent stops, retries sanely, or invents success.
- Permission discipline — assert read vs write vs irreversible. A “helpful” delete without approval is a failed eval, not a clever agent.
- Regression from real work — anonymized tickets, SOPs, and prior incidents beat public agent leaderboards for enterprise stacks (including SAP custom code and change requests).
Kill a tool, slow the DB, return empty search — then score whether the agent stops, retries sanely, or invents success.
What a minimal suite looks like
Start with 30–50 cases: 60% happy path, 30% degraded tools, 10% adversarial / ambiguous. Run them on every prompt, tool schema, and model pin change. Store traces. When a case fails, either fix the agent or retire the case with a written reason — never silently skip.
Regression cases from anonymized tickets and SOPs beat public agent leaderboards for enterprise stacks.
Local vs cloud eval runners
Local runners (Ollama, vLLM, private GPU) are ideal for confidential corpora and nightly regression. Cloud frontier models still help for hard reasoning spikes — but keep the gate on the same stack you deploy. Evaluating GPT-class behavior and shipping a local 14B is how “it worked in the lab” becomes an incident.
Pin the eval runner to the stack you actually ship — local for confidential corpora, cloud only when the gate matches production.
What we'd watch next
CI badges that block merge on agent suites the way unit tests block broken APIs. Until then, treat every agent demo as a prototype — even the impressive ones.
Originally published on ayraix.com, practical AI for enterprise builders.
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