Use cases · Clio

Extract contracts into your CRM

Extract contracts into your CRM with Clio: a practical, on-prem approach built for Azerbaijani teams.

Automate Contract and Invoice Data Entry

Eliminate the burden of manual data entry by transforming physical invoices and contracts into validated, high-fidelity CRM records. Our AI-driven extraction engine leverages a vision LLM to process complex documents in Azerbaijani, Russian, and English, specifically identifying critical regional data such as the VÖEN tax ID. By converting unstructured documents into structured data, your team can maintain an accurate database without the risks associated with manual typing. To ensure absolute data integrity, the system employs a rigorous verification framework where deterministic validation acts as a hard gate, preventing any erroneous data from clearing the process. With a target of 99.5% field precision and a strict requirement for human approval before any CRM write, the workflow is designed for organizations that prioritize zero incorrect auto-writes and complete auditability through source-page provenance.

Capabilities

Advantages of Our Extraction Workflow

Eliminate manual entry errors and typing fatigue across your administrative teams

Full multilingual support for Azerbaijani, Russian, and English document processing

Prevent database clutter by automatically blocking duplicate document entries

Guarantee data integrity via deterministic validation gates that block bad data

Maintain complete audit trails with source-page provenance and confidence scores

Scale operations rapidly by adding new document types via schema updates instead of code

Core Capabilities

Multilingual Vision LLM

Extracts every field from documents, including specific identifiers like the VÖEN tax ID, across Azerbaijani, Russian, and English.

Confidence Scoring

Every extracted field is assigned a confidence score and linked to its source page for rapid verification.

Deterministic Validation

A strict validation gate ensures that bad data cannot auto-clear, maintaining the highest level of record quality.

Schema-Based Configuration

Expand your capabilities by adding new document types through schema updates rather than writing new code.

Human-in-the-Loop Approval

Every write operation to the CRM requires human approval to ensure zero incorrect automated entries.

The Extraction Process

1Upload invoices or contracts into the system.
2The Vision LLM extracts fields and assigns confidence scores with source-page provenance.
3Data passes through a deterministic validation gate to filter out incorrect information.
4The system checks for duplicate documents to prevent redundant CRM entries.
5A human reviewer approves the validated data.
6Verified records are written directly into your CRM.

Frequently Asked Questions

Which languages are supported for document extraction?

The system is fully optimized to read and extract data from documents written in Azerbaijani, Russian, and English.

How does the system prevent incorrect data from entering the CRM?

We utilize deterministic validation as a hard gate, meaning bad data can never auto-clear. Additionally, every single CRM write requires human approval to ensure zero incorrect auto-writes.

Can the system identify specific regional tax identifiers?

Yes, the vision LLM is capable of extracting specific fields such as the VÖEN tax ID from the supported document types.

What is the process for adding new types of contracts or invoices?

New document types are added as a schema. This allows you to expand your extraction capabilities without the need to write or deploy new code.

How can I verify the accuracy of an extracted field?

Each extracted field is provided with a confidence score and source-page provenance, allowing you to see exactly where the data was found on the original document.

Ready to streamline your CRM data?

Contact us today to implement a high-precision extraction workflow for your Azerbaijani team.

Request a demo