Simplifying the TealBook architecture

TealBook Description

Procurement Insights Briefing Note

Title: How TealBook Embodies Hansen’s Procurement Intelligence Models

Purpose: To align TealBook’s supplier intelligence capabilities with Jon W. Hansen’s strategic frameworks: Agent-Based Modeling, Strand Commonality, and the Metaprise

1. Agent-Based Modeling Alignment – TealBook’s persistent legal entity graph** acts as a network of adaptive supplier agents. – These agents autonomously evolve through continuous enrichment and feedback from embedded data sources. – Human-in-the-loop validation mirrors Hansen’s hybrid agent- human collaboration principle. – Result: Procurement teams gain real-time, self-adjusting supplier intelligence.

• Strand Commonality in Action – Each data layer—certifications, financials, ESG scores, taxonomies— forms a “strand” that appears across systems. – TealBook connects these strands through its entity graph, allowing strategic pattern recognition. – Enables predictive procurement actions such as risk mitigation, opportunity mapping, and multi-tier analysis. – Result: TealBook identifies emergent behavior and insights that traditional siloed systems miss.

• The Metaprise Realized – TealBook replaces fragmented feeds with a continuously enriched, embedded data platform accessible via unified API. – The solution serves as connective tissue between ERP, S2P, analytics, and intake systems. – Transparency, confidence scoring, and traceability create a trusted data environment across layers. – Result: Delivers Hansen’s Metaprise vision—a seamless, adaptive procurement intelligence infrastructure.

Strategic Conclusion: TealBook’s architecture and data approach aren’t just modern—they operationalize Jon Hansen’s advanced theories on procurement intelligence. For organizations seeking adaptive, pattern- aware, and system-integrated supplier management, TealBook represents a leading Metaprise-aligned solution.

Use Case Implications: – Best suited for complex supplier environments with high compliance, ESG, and onboarding needs. – Acts as a foundational system for intelligent sourcing, supplier risk management, and supply resilience modeling.

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** A legal entity graph is a network-based data model where each node represents a unique, verified supplier legal entity, and each connection (edge) represents a relationship—such as a parent-child hierarchy+, associated certificate, category, or shared sourcing activity.

Unlike traditional flat databases or disconnected vendor records, this graph-based approach allows for multi-dimensional modeling of supplier relationships and attributes in a way that reflects how procurement professionals need to interact with supplier ecosystems.

+ In the late 1990s, working to support the Department of National Defence’s IT infrastructure, I developed the parent-child (SKU) model – Are You A Victim of Data Delinquency?