Supply Chain Data Management
Managing internal knowledge variance via Pillar IV (Capability Graph).
This architecture operates under the assumption that internal data varies in quality and reliability. It utilizes the Capability Graph (Pillar IV) to manage this variance, enforcing a Confidence Schema to score data prior to use.
The Quality Vector combines Source Verification, Time Decay (Freshness), and Usage Frequency. The system will actively reject Bronze-tier assets when a higher-trust option exists to avoid aspirational or outdated claims.
2.1 Deep Dive: Hygiene Protocol Logic
Enterprise data often consists of unverified content (drafts, marketing materials) and verified content (contracts). The system distinguishes between these via metadata tags.
Scenario: Data Center Migration RFP
The RFP requires "Past Performance on Data Center Migration." The system identifies two potential assets for "Project Helios."
"We are leaders in Data Center Migration... planning to migrate 500 servers."
REJECT: Low confidence score due to aspirational language and age.
"Scope: Successful migration of 450 servers to AWS GovCloud. Completion Date: Jan 2024."
SELECT: High confidence score. Verified fact, recent date, past tense confirmation.
The system prioritizes the Verified Contract based on the Quality Vector (Age + Source Tier), significantly reducing the likelihood of generating content based on outdated or inaccurate internal data.