AIQL: Ai Driven Document Decision-making RAG Application
Objective
- To eliminate the validation bottleneck, we aimed to automate OCR and structured knowledge extraction from 1,000+ page records.
- Build an agentic pipeline to create iterative ontologies and knowledge graphs.
- Implement auto-generated decision trees for systematic "approve/decline" logic.
- Maintain a Human-in-the-Loop (HITL) interface for manual verification.



Overview
AiQL is a next-generation, GraphRAG-based validation platform designed for institutions with high-volume, high-stakes document flows, in such industrie as healthcare, legal, construction. The tool automates the scanning, structure, and validation of complex records to support critical decision-making in highly regulated environments.
Problem
In sectors like medicine and law, validating new regulations or drug research requires manually reviewing thousands of pages of documentation. This process is labor-intensive and prone to fatigue-related errors, creating significant bottlenecks in bringing products or legal decisions to market. Existing tools often fail to capture the deep relational nuances required for formal approval.
What We Did
We built an OCR pipeline using Vision-Language (VL) models to scan documents and convert them into "knowledge items."
We deployed a multi-agent system powered by Gemini 3. An Extraction Agent chunks data, a Validation Agent executes decision-tree logic, and a Knowledge Graph Agent maps every relationship into Neo4j to create an audit-ready source of truth.
We developed a dashboard where human operators can go through auto-generated decision trees to manually confirm or disprove critical validation
Results
- 5x Reduction in Review Time: Processes that took months are now completed in weeks.
- High-Precision Analysis: Successfully processed 1,000+ page records with 99% precision.
- Enterprise Security: Deployed on a private, HIPAA-compliant cloud to protect sensitive data.
From product architecture to global deployment — we have it covered.
Our rating based on verified client reviews
5
High-quality work (15)
Timely (12)
Communicative (9)
High-expertise (15)
Great project management (7)
5.0
Software
Lincoln, Nebraska
10-50 Employees
$10,000 to $49,999
May 2025 - Dec 2025
“When priorities have evolved, the team has been responsive and flexible.”
SweatTag
Raymonn A | SweatTagCEO
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