ServiceOps FAQs

The public sample compares service logs, metrics, traces and change history before presenting a supported hypothesis. It is deterministic, not a live model investigation.

Agent Studio demonstrates structured trigger, connector and approval settings. Saving local sample choices does not deploy an agent; production customization needs technical scoping.

An AI-native ITSM automation platform direction connecting service signals, investigation, governed action and outcome verification. The site demonstrates these workflows with synthetic records.

Discuss your system of record and intended boundary with Fynite. No universal replacement claim is made; workflow and interface scope require validation.

Evaluate specific product versions, fields, authentication and allowed writes. Directory entries are not certified or verified connectors.

Public samples demonstrate identity-gated assistance and evidence-led technical investigation. Production availability and permissions require validation.

Synthetic Linux and application samples demonstrate allowlisted recovery, approval and checks. They do not connect to real infrastructure.

An implementation requires validated identity, least privilege, tool policy and explicit scope. Public actions are deterministic sample transitions without credentials.

Only configured approver personas can authorize a sample after prerequisites pass. Inspection and persona changes are not approval; Observe and Recommend cannot execute.

Failed execution or verification cannot close the case. Supported recovery samples allow rollback or escalation; retry requires fresh approval. Record-only samples do not show infrastructure rollback.

No. They use synthetic data, scripted calls and deterministic allowlisted actions. No real calls, recordings, credentials or production systems are connected.

Hosting, network boundaries and operational responsibilities are confirmed in technical scoping; unvalidated production options are not asserted.

Review data boundaries, identity, retention, logging and security documentation with Fynite. Demonstrated controls do not establish production certification; legal policies remain separate.

Confirm versions, consent, scoped reads/writes, isolation, rate limits, failure behavior and audit evidence for the agreed workflow.

Agree a baseline and limited workflow, validate interfaces and policy, test approved actions, verify measurements and obtain separate rollout approval.

Discuss volume, deployment, interfaces, implementation and support. Indicative packages are not automatic entitlements; prices and usage charges are confirmed for agreed scope.