Why did checkout quality drop after deploy?
Incident response slows down when every answer requires a custom query or a specialist who knows where the right data lives.
The AnoSys AI Platform Assistant scopes the right data sources, generates queries, summarizes evidence, compares models, and explains failures in language teams can share.
Use natural language as an investigation layer over selected traces, dashboards, evals, costs, and operational records.
Choose the data sources, time window, workflow, model, or customer segment relevant to the question.
Generate the underlying searches and comparisons without forcing every user to learn the data model.
Explain incidents, regressions, cost changes, and quality gaps using the evidence found.
Turn the answer into a handoff, report, or incident update that other teams can act on.
No. It complements dashboards by helping teams ask follow-up questions and get evidence-backed explanations faster.
Yes. Teams can scope the assistant to specific records and signal types for focused investigations.