AI That Thinks
Inside Your Workflows

Retrieval-Augmented Generation (RAG) is a technique that connects AI language models to your business data. Instead of relying solely on the AI's training data, RAG retrieves relevant documents from your systems (policies, manuals, databases) and uses them to generate accurate, contextual answers. This means AI responses are grounded in your actual business information.

Modern document AI achieves 95-99% accuracy on structured documents like invoices and forms, and 85-95% on semi-structured documents like contracts. IOTAI implements human-in-the-loop validation for critical data, ensuring accuracy while dramatically reducing manual processing time by 70-90%.

AI integration can process PDFs, scanned images, emails, spreadsheets, Word documents, and handwritten forms. Common use cases include invoice processing, contract analysis, compliance document review, medical records extraction, and customer correspondence classification.

A basic AI integration (single document type, one system) takes 2-3 weeks. Multi-document RAG pipelines with custom training take 4-6 weeks. Enterprise-wide AI integration programmes are typically 6-12 weeks. IOTAI provides a detailed implementation roadmap during the assessment phase.

IOTAI deploys AI models that process data within your infrastructure or Australian cloud regions. We never send sensitive data to third-party AI services without explicit consent. All integrations include encryption at rest and in transit, access controls, and audit logging.

No. Modern AI techniques work well even with modest datasets. RAG pipelines can be effective with as few as 50-100 documents. For classification and extraction tasks, we use pre-trained models that require minimal fine-tuning, making AI integration accessible for small businesses.