An alternative to manual invoice entry
An alternative to manual invoice entry: a local, on-prem alternative for Azerbaijani business — see how Clio compares.
Enterprise AI Document Extraction
Many businesses struggle with the inefficiency of manual data entry or the limitations of generic OCR tools that fail to grasp local language nuances and complex document formats. Allmaz solves this by providing a specialized AI-driven extraction engine designed to transform invoices and contracts into validated CRM records. By leveraging a vision-based Large Language Model (LLM), the system accurately processes documents in Azerbaijani, Russian, and English, ensuring that critical local identifiers, such as the VÖEN tax ID, are captured with precision. Our approach prioritizes data integrity over blind automation. By combining high-precision extraction with deterministic validation gates and a mandatory human-in-the-loop approval process, Allmaz eliminates the risk of data corruption. The system is engineered for straight-through processing targets of 99.5% field precision, ensuring that while the extraction is automated, the final write to your CRM is always verified and accurate, effectively removing the possibility of incorrect auto-writes.
The Advantages of AI-Driven Extraction
Eliminate manual typing errors and fatigue through high-precision AI extraction
Native support for Azerbaijani, Russian, and English to handle regional business documentation
Prevent data corruption using deterministic validation gates that block low-quality data
Maintain a clean database by automatically detecting and blocking duplicate documents
Guarantee 100% data integrity with mandatory human approval for every CRM write
Scale operations rapidly by adding new document types via schema instead of custom code
Advanced Extraction Capabilities
Multilingual Vision LLM
Our vision-based LLM extracts every field, including the VÖEN tax ID, providing source-page provenance and a confidence score for every data point.
Deterministic Validation
We implement a hard gate for data quality; bad data is blocked from auto-clearing to ensure only accurate information reaches your system.
Schema-Based Flexibility
Adding new document types is handled via schema definitions rather than code, allowing for fast adaptation to new business needs.
Human-in-the-Loop Control
To maintain absolute accuracy, every write to the CRM requires human approval, preventing incorrect automated entries.
The Extraction Workflow
Common Questions
Does the system support local Azerbaijani tax identifiers?
Yes, the AI is specifically trained to read and extract the VÖEN tax ID along with other critical regional fields.
Can the AI accidentally write incorrect data to my CRM?
No. We utilize deterministic validation as a hard gate and require human approval for every CRM write to ensure zero incorrect auto-writes.
How difficult is it to add a new type of invoice or contract?
It is highly efficient; new document types are added as a schema definition rather than requiring new code development.
How does the system handle document accuracy and verification?
The vision LLM provides a confidence score and source-page provenance for every extracted field, allowing reviewers to quickly verify the data source.
What prevents the same invoice from being entered twice?
The system includes a dedicated duplicate blocking mechanism that identifies and stops redundant documents from entering the workflow.
Optimize Your Document Workflow
Experience a high-precision alternative to manual entry. Contact Allmaz today to see how our AI extraction can secure your business data.
Request a demo