Agentic AI Reference Architecture

Knowledge & Data · Software component

Data Format Normalizer

Software componentKnowledge & DataKnowledge & Dataarc:DataFormatNormalizer

A transformation component that rewrites heterogeneous representations of dates, phone numbers and monetary values into canonical forms during ETL transformation.

Responsibility. Converts inconsistent value formats into canonical representations.

Also known as: Format standardization, Automatic remediation

is orchestrated bysends data toreceives data fromis configured byIngestion Pipeline Orchestrator: is orchestrated byIngestion Pipeline Orche…Cascading Deduplicator: sends data toCascading DeduplicatorData Quality Gate: receives data fromData Quality GateCanonical Format Specification: is configured byCanonical Format Specifi…
Direct neighbourhood (hover for relationship types)

Relationships

is configured by structural

receives data from dynamic

sends data to dynamic

is orchestrated by control

Design guidance

Classification

Patterns
CanonicalizationAutomatic remediation of known fixable issues
Quality attributes
Reliability (ISO/IEC 25010 | NIST AI RMF: valid and reliable)Compatibility (ISO/IEC 25010)
Risks mitigated
Format inconsistency degrading retrieval (e.g., 'March 2024' vs '2024-03')Error-prone aggregation across formats
Frameworks & regulations
ISO 8601E.164

Sources

  1. Ch6.4: T. Nguyen, "Data Quality Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 6.4. ISBN: 9798244538229.