What is an extraction confidence score?
What is an extraction confidence score? A clear explanation for Azerbaijani business — and how Clio applies it.
Understanding Extraction Confidence Scores
An extraction confidence score is a precise numerical value assigned by an AI model to indicate the level of certainty regarding the accuracy of specific data extracted from a document. In high-stakes automated processing, these scores serve as the primary mechanism for distinguishing between high-certainty data and fields that require human intervention. By quantifying uncertainty, businesses can maintain strict data integrity and ensure that only the most reliable information moves forward in the pipeline. Within the Allmaz ecosystem, these scores are paired with source-page provenance, allowing users to see exactly where a piece of data originated. This transparency transforms the AI from a 'black box' into a verifiable tool, ensuring that invoices and contracts are converted into validated CRM records with total visibility. By leveraging these scores alongside deterministic validation, the system eliminates the risk of silent failures and ensures that data quality remains consistent across all processed documents.
The Business Value of Confidence Scores
Eliminates manual data entry errors by automating the extraction of invoices and contracts
Ensures extreme precision in CRM record creation through a combination of AI and human oversight
Provides full auditability via source-page provenance for every extracted field
Prevents corrupted or incorrect data from entering core systems via hard validation gates
Accelerates the processing of multilingual documents in Azerbaijani, Russian, and English
Blocks duplicate documents automatically to maintain a clean and efficient database
Advanced Data Extraction Capabilities
Multilingual Support
The system processes documents in Azerbaijani, Russian, and English, including specialized identifiers like the VÖEN tax ID.
Vision LLM Integration
A vision-based large language model extracts every field while providing a confidence score and source-page provenance.
Deterministic Validation
Strict validation rules act as a hard gate, ensuring that bad data can never auto-clear the system.
Schema-Based Flexibility
New document types are integrated via a schema rather than requiring new code, allowing for rapid scaling.
The Extraction and Validation Process
Frequently Asked Questions
Can data be written to the CRM automatically?
No, every CRM write requires human approval to ensure absolute accuracy and prevent incorrect entries.
What happens if the AI is unsure about a field?
The confidence score reflects this uncertainty, and the deterministic validation gate prevents any low-confidence or incorrect data from auto-clearing.
What is the target precision for field extraction?
The system targets straight-through processing at 99.5% field precision with a strict mandate of zero incorrect auto-writes.
How are new document types added to the system?
New document types are added as a schema rather than through custom code, allowing for fast and flexible integration.
Which languages and identifiers are supported?
The system fully supports Azerbaijani, Russian, and English, and is specifically capable of reading the VÖEN tax ID.
Optimize Your Document Workflow
Experience high-precision AI extraction with Clio and eliminate manual data entry errors in your business.
Request a demo