Lets an AI agent list reports, start and poll exports, and look up insurance claims from a legacy system that has no API, with each server process serving only the tools and report types its role permits. Every tool call is written to an append-only, field-masked audit log, and the backend's login credentials stay in an encrypted vault the model never sees.
It enables an LLM agent to list and inspect invoices, run three-way matches against purchase orders and goods receipts, and route exceptions under server-enforced policy.
Enables secure support-ticket and customer-account operations with signed JWT authentication, prompt-injection and tool-poisoning guardrails, and human-in-the-loop confirmation for destructive actions.
Enables a locally hosted AI, running entirely inside the client's building with no outside network access, to reach line-of-business systems, document stores and email through a small set of narrow, task-specific and schema-validated tools. It applies least-privilege per-tool credentials, personal-data masking, output leak checks and tamper-evident audit logging, keeping actions read-only by default and gating any write behind human approval so untrusted document content cannot trigger privileged operations.
Enables LLM agents to access third-party APIs through a least-privilege set of audited tools with allowlists, per-caller scopes, label gates, write confirmation, limits, and PII-masked logging. It restricts reads to labeled data, prevents sending or destructive actions, and records every allowed or denied call.