Marketplace - AI Agent - Person Details Standardizer

An AI agent that standardises free-text person records using plain-English rules and enriches them with Wikipedia data in structured JSON output.

Solution Details

Difficulty Level: BEGINNER
Solution Type: AI Agent Recipe
Author: OnePoint
Published on: Jan 12, 2026
Last updated on: Apr 22, 2026

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Key Features

Standardize person attributes — name, DOB, address, phone — using plain-English rules via LLM.
Enrich person records automatically with Wikipedia URL and summary using OP Wikipedia connector.
Return results in structured JSON with defined schema for seamless downstream system integration.
Adapt standardization rules in plain English to match any entity — vendors, customers, or hotels.
Process free-text inputs including abbreviations, typos,and mixed formats into unified records.

How it works

Customer Identity Unification Across Systems
Resolves name variations and format inconsistencies across CRM, ticketing, and banking systems, ensuring a single unified customer identity without manual data cleansing or complex mapping rules.

Data Migration and Integration Normalisation
Normalises person entity records when consolidating databases or merging systems during migration projects, reducing data quality issues and accelerating integration timelines with AI-driven standardisation.

HR and Employee Record Harmonization
Standardizes employee records ingested from multiple HR systems or onboarding sources, ensuring consistent name formats, addresses, and contact details across the enterprise people data landscape.

Applications Required

OP Intelligence
OP Wikipedia
OpenAI