The LEXAURA Engine
Eight integrated layers working together to give enterprises full control over AI-assisted multilingual language operations.
Enterprise Intake Layer
Receives documents, instructions, files, language pairs, departments, deadlines, client rules, business context, and workflow goals.
- Document upload and connection
- Language pair selection
- Department assignment
- Deadline and priority setting
- Client rule mapping
- Business context tagging
Document Intelligence Layer
Identifies document type, structure, language, sensitivity, terminology needs, formatting issues, subject matter, and review complexity.
- Document type detection
- Language identification
- Sensitivity scoring
- Terminology need analysis
- Formatting issue flagging
- Review complexity estimate
Terminology Control Layer
Applies approved terms, forbidden terms, client language, legal wording, financial wording, technical phrases, product names, brand rules, and department-specific preferences.
- Approved term application
- Forbidden term detection
- Client glossary integration
- Legal phrase enforcement
- Brand rule checks
- Department preference mapping
AI Processing Layer
Supports translation, localization, rewriting, classification, comparison, summarization, formatting, document preparation, and content routing inside a controlled workflow.
- Controlled AI translation
- Localization automation
- Document comparison
- Content summarization
- Formatting normalization
- Workflow-aware routing
Human Review Layer
Routes sensitive, high-value, legal, financial, technical, or client-facing material to the right reviewer.
- Sensitivity-based routing
- Reviewer queue management
- Priority escalation
- Reviewer assignment rules
- Review status tracking
- Feedback capture
Quality Control Layer
Checks consistency, missing terms, terminology conflicts, formatting issues, version differences, risk indicators, and review status.
- Consistency checks
- Missing term detection
- Terminology conflict flags
- Format validation
- Version comparison
- Risk signal generation
Knowledge Layer
Stores recurring decisions, approved language, reviewer corrections, client preferences, department rules, and reusable workflow logic.
- Decision memory
- Approved language archive
- Correction capture
- Client preference profiles
- Department rule storage
- Reusable workflow templates
Analytics Layer
Shows productivity gains, review load, repeated tasks, workflow volume, delivery delays, and operational bottlenecks.
- Throughput tracking
- Review load monitoring
- Bottleneck identification
- Delivery performance metrics
- Productivity gain measurement
- Recurring task analysis
From Intake to Approved Output
Every document flows through a controlled, traceable pipeline designed for serious enterprise language operations.