Artificio Introduces Data Series: Native Data Layer That Transforms Document Extraction into Business Intelligence
New capability creates persistent, connected data layer within document intelligence platform, eliminating manual reconciliation workflows.
Artificio Products Inc., a leader in AI-powered intelligent document processing and enterprise workflow automation, announced Data Series, a native structured data layer that transforms one-time document extractions into persistent, connected operational datasets. The capability addresses a critical gap in document AI workflows where extracted data typically exports to disconnected spreadsheets, creating version conflicts and breaking automation chains.
Traditional document processing platforms treat extraction as the finish line. Organizations pull data from invoices, contracts, or forms, export to CSV files, then manually cross-reference information across multiple spreadsheets. This creates fragmented workflows where version conflicts emerge, audit trails disappear, and manual re-keying errors multiply. Data Series solves this by keeping operational data inside the document intelligence platform itself.
“Most document AI solutions stop at extraction, but that’s exactly where operational problems begin,” said Lal Singh, Founder and CEO of Artificio Products Inc. “Data Series closes that gap by creating a connected data layer that talks directly to forms, validation rules, and automation workflows.”
Data Series closes the workflow gap by creating a native data layer that links your data directly to forms, validation rules, and automation workflows.”
— CEO, Artificio Products Inc.
Data Series functions as a structured data layer native to Artificio that can be created manually, imported from existing spreadsheets, or populated automatically from document extractions. The capability supports XLS and CSV import, enabling rapid migration from existing Excel-based reference data. Unlike external databases, Data Series connects directly to the platform’s forms, PDF templates, validation rules, and automation workflows without requiring exports or manual syncing.
Dynamic Reference Tables and Real-Time Validation
The platform enables organizations to maintain vendor master lists, pricing tables, and customer databases directly within their document processing environment. When invoices flow through extraction, the system automatically validates vendor names against approved lists, checks pricing against contracted rates, and routes exceptions based on configurable business rules. A logistics company processing order documents can store customer preferences, shipping rules, and template mappings in Data Series, then automatically generate personalized shipping PDFs and trigger customer communications without manual intervention.
Healthcare organizations benefit from real-time member validation capabilities. When insurance documents are processed, extracted member IDs validate against Data Series records instantly, flagging mismatches or expired policies for human review rather than allowing errors to pass through silently. Validation rules can reference Data Series fields directly, enabling conditional logic such as routing claims exceeding coverage limits to supervisor approval automatically.
Single Source of Truth Architecture
Every export to Excel breaks connections and creates data drift. When someone updates a vendor address in an external spreadsheet, that change doesn’t propagate to other team members working from different file versions. Data Series maintains a single source of truth that updates everywhere simultaneously. Corrections to a vendor record reflect immediately across every form, PDF template, and workflow referencing that vendor.
This architecture compounds value over time. Organizations building on Data Series see their automation mature faster because nothing leaves the platform. The first connected reference table might support one extraction workflow. Six months later, that same Data Series feeds multiple workflows, document templates, and exception handling rules, all updating from a single maintained source.
Enterprise Integration and Scalability
Artificio’s platform integrates extracted and validated data with major ERP systems including SAP, Oracle, and QuickBooks via API connections. Data Series extends this integration capability by providing a persistent data layer that bridges document extraction and downstream business systems. Organizations can download processed data in XLS, CSV, or JSON formats while maintaining the connected reference architecture within the platform.
The capability supports formula fields for calculated values and configurable validation rules that enforce business logic automatically. This enables organizations to implement complex verification processes, including mandatory field checks, threshold validations, duplicate detection, and cross-field calculations, all executing within the extraction workflow rather than requiring manual post-processing.
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