Overview

The CMR+ Gen AI/LLM Integration is a cloud-ready SaaS platform that leverages generative AI and large language models to transform document-centric workflows into insight-driven, automated processes. It enables users to ingest diverse document types (images, PDFs, Word, handwritten, etc.), optimise and index them, extract structured and unstructured data, and apply built-in enrichment and human-in-the-loop training for continual model improvement. It supports summarisation, translation, entity recognition, sentiment analysis, conversational querying of document content, and integrates with existing systems and APIs.

Features and Capabilities

• Document Ingestion & Pre-Processing: The platform accepts auto-ingestion of image, JPEG, TIFF, PDF, MS Word, RPA and DMS sources; performs noise reduction, skew/orientation correction, background suppression, classification and indexing.
• Data Extraction (Structured & Unstructured): Supports extraction of structured, unstructured, natural-language and handwritten text from documents and tables, including nested content without heavy customisation.
• Generative AI / LLM Integration: Enables automatic generation of high-quality content such as summaries, abstracts or responses; supports auto-completion, contextual suggestions, multilingual translation, sentiment analysis, entity recognition, semantic search and conversational querying of document content.
• Human-in-the-Loop Training & Continuous Learning: Feedback loops enable the ML/LLM models to learn and adapt over time based on user verification and corrections.
• Modular Architecture & Deployment Flexibility: The architecture supports cloud or on-premise deployment decisions, includes data-governance controls (redaction/anonymisation), modular pre-built functions (prompt engineering, input preparation, response transformation, feedback handling) and is model-agnostic to allow best-fit LLMs.
• Workflow & System Integration: Includes workflow management, queue/exception/approval routing, data transport and mobilisation via APIs, RPA or microservices, and integrates with third-party enterprise platforms.
• Enterprise Scale & Low-Code Citizen Developer Friendly: Designed for high-volume document processing within large organisations while enabling business users and citizen developers to build workflows with minimal code.
• Decision-Support Features: Enables semantic search across document libraries, clause comparison, next-best-action suggestions and a conversational interface for analysts to query document data contextually.