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AI CORE

PRISM Intelligence

AI in the data pipeline today — quality control, anomaly analysis, problem diagnosis — and coming to PRISM Graph and PRISM Analytics: supervised, auditable, source-tagged.

// CAPABILITIES

AI is in daily use at Cloud Explorers today in the data pipeline: quality control of register deliveries, analysis of anomalies and diagnosis of problems. Bringing the same capabilities into PRISM Graph and PRISM Analytics for analysts is in development. The goal is a natural-language interface that can conduct an investigation — identify the key data, follow it through the graph and the map, and deliver the visualisation and the report of the results — with the analyst verifying every step.

  • Agentic analysis — propose, verify, escalate under human control.
  • Natural-language investigation — the analyst states the question; PRISM Intelligence identifies the key data, conducts the investigation across the modules and produces the visualisation and the report of the results.
  • Anomaly surfacing across spatial, relational and temporal axes.
  • Every AI action auditable — source-tagged and reversible.
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// LIVE SYSTEM VIEW
PRISM_INTELLIGENCE :: SESSION 0x09F
> AGENT: ANALYST-ASSIST
> Mode: SUPERVISED
> Proposals: 23 pending review
> Audit tag: source: agent