Juq-214 Site

| Risk | Likelihood | Impact | Mitigation | |------|------------|--------|------------| | AI hallucination – Assistant suggests invalid actions. | Medium | High (user frustration, data corruption). | Strict validation layer; require explicit user approval; whitelist of safe actions. | | PII leakage – Context may contain sensitive fields. | Low | High | Automatic redaction of fields flagged as PII in schema; short‑lived context store. | | Performance bottleneck – LLM latency spikes. | Medium | Medium | Cache frequent prompts; fallback to static help docs if latency > 2 s. | | Regulatory constraints (e.g., in finance). | Low | High | Provide on‑prem model option; full audit trail; opt‑out toggle. | | User overload – Too many suggestions. | Medium | Medium | Configurable suggestion frequency; “Do not show again” option per card. |

  • AI Engine

  • Model:

  • Automation Runner

  • Admin Console

  • Security & Compliance

    • Contextual Assist & Automation (CCAA) is a three‑layer component that lives inside the existing JU‑214 UI:

  • Automation Runner – Executes user‑approved suggestions via a secure, sandboxed macro engine (JavaScript/TypeScript sandbox for web, or a micro‑service orchestrator for backend).

    • All three layers are opt‑in, audit‑ready, and configurable via the JU‑214 admin console. JUQ-214

    Assuming JUQ-214 needs a feature, let's create a hypothetical feature.