AI Assistant for Operations & Governance
Your internal copilot for reporting, configuration, and rule guidance—grounded in your traces, KPIs, and project settings. Ask natural-language questions, request drafts for rules and policies, and move faster with suggestions you approve before they go live.
Answers That Match Your Stack
Query what is happening across workflows, incidents, alerts, and evals in plain language—without stitching spreadsheets or ad hoc SQL yourself.
Drafts, Not Surprises
Generate structured drafts for KPI, drift, and anomaly rules, governance policies, eval configurations, dashboards, and more. Review and apply on your terms.
Governance-Aware by Design
Suggestions respect tenant and project scope. The assistant is built to support operators who configure guardrails, compliance alignment, and oversight—not to bypass them.
Understand Production Without the Treasure Hunt
Move from “something looks off” to a concrete hypothesis faster. The assistant uses the same hierarchical model you use elsewhere—application, session, agent, trace, and span—and can help interpret signals when you describe the problem in words.
- Summaries and pointers across traces, KPIs, drift, anomalies, incidents, and evaluations
- Help correlating changes with regressions when you describe changes in natural language
- Read-only access patterns suitable for investigating production behavior
Draft Rules, Policies, and Dashboards
Turn intent into structured configuration drafts. Describe the guardrail or monitor you want; the assistant proposes concrete rule and policy artifacts aligned with how TuringPulse models KPIs, drift, anomalies, compliance, and evaluations.
- Draft KPI, drift, and anomaly rules with thresholds and rationale you can edit
- Draft compliance-style policies and evaluation configs as starting points
- Draft dashboard layouts and bulk suggestions when you are scaling governance
You Stay in Control
The assistant is an accelerator, not an autonomous operator. It does not silently modify production control planes—your team approves what ships.
- No auto-apply: drafts are returned for human review in the product flows you already use
- Project-scoped context so suggestions align with the workflow you are working in
- Designed alongside observability and governance primitives—not a black box on the side
