Satori AI Introduces Explainable Query Builder for Enterprise LLMs

AI · 4 min read

The Explainable Query Builder provides a visual interface for composing chain-of-thought prompts, setting guardrails, and tracing response provenance to underlying documents and model steps. Each query execution produces a human-readable audit trail and a machine-readable provenance token that can be stored in compliance logs.

Satori integrated the Builder with enterprise identity and data access controls so that sensitive sources are automatically redacted or filtered from model context. The product also surfaces per-token confidence estimates and divergence scores when models produce uncertain answers.

Satori is offering the Builder both as a managed cloud service and an on-prem appliance for regulated industries. The company said the launch responds to increasing demand from legal, financial, and healthcare teams for explainable LLM outputs that can be validated in audits.