Solutions · Clio

AI document extraction for Government

AI document extraction for government. Public bodies require on-premise systems so citizen data never leaves the country.

Secure AI Document Extraction for Public Administration

Allmaz provides government bodies with a secure, on-premise AI extraction system specifically engineered to handle massive volumes of administrative records. By deploying the infrastructure locally, the system ensures that sensitive citizen data never leaves the country, maintaining absolute data sovereignty and adhering to the strictest national protection standards. This enterprise-grade solution transforms unstructured documents, such as invoices and contracts, into validated CRM records. By combining advanced vision-based language models with deterministic validation gates, Allmaz enables public institutions to digitize their workflows while eliminating the risk of automated data errors, ensuring that every record is accurate and verifiable.

Capabilities

Solving Public Sector Data Challenges

Guarantees total data sovereignty through secure on-premise deployment

Accelerates public-service response times by automating manual record entry

Enhances procurement and audit transparency via source-page provenance

Scales document processing capacity without increasing administrative workload

Eliminates incorrect data entry through rigorous deterministic validation gates

Prevents database redundancy by automatically blocking duplicate documents

Enterprise-Grade Extraction Capabilities

Multilingual Support

Full extraction capabilities for Azerbaijani, Russian, and English documents, including specialized identifiers like the VÖEN tax ID.

Vision LLM Extraction

A vision-based large language model extracts every field, providing a confidence score and a direct link to the source page for auditing.

Deterministic Validation

A hard-gate validation system ensures that bad data can never auto-clear, maintaining the integrity of government records.

Schema-Based Configuration

New document types are added via a schema rather than custom code, allowing for rapid adaptation to new regulatory requirements.

Human-in-the-Loop Control

Every CRM write requires human approval and duplicate documents are automatically blocked to prevent record redundancy.

From Physical Document to Validated Record

1Documents such as invoices and contracts are ingested into the on-premise system.
2The Vision LLM extracts all required fields and assigns a confidence score to each.
3Data passes through a deterministic validation gate to filter out incorrect information.
4The system checks for duplicate documents to prevent redundant entries.
5A human reviewer approves the extracted data before it is written to the CRM.

Frequently Asked Questions

How is citizen data protected?

The system is deployed entirely on-premise, ensuring that sensitive citizen data remains within the country and under the government body's direct control, avoiding external cloud exposure.

Can the system handle different languages and local IDs?

Yes, the AI is natively capable of reading and extracting data from documents in Azerbaijani, Russian, and English, and it specifically supports the VÖEN tax ID.

What happens if the AI is unsure about a field?

Every extraction is assigned a confidence score. If the data does not meet the required standards, the deterministic validation gate prevents it from auto-clearing, flagging it for review.

How does the system prevent duplicate records?

The system includes a built-in deduplication mechanism that identifies and blocks duplicate documents before they can be processed into the CRM.

How are new document types added to the system?

New document types are integrated using a schema-based approach rather than writing new code, allowing the system to adapt quickly to new forms or regulations.

Modernize Your Public Records Management

Contact Allmaz to implement a secure, on-premise AI extraction solution that targets 99.5% field precision with zero incorrect auto-writes.

Request a demo