AI Powered Digital Archiving
Revolutionise your document management
BOTeye Digital Archiving is an Agentic AI–driven records management and preservation platform that transforms physical and electronic documents into structured, searchable, compliant, and lifecycle-governed digital assets.
It combines:
- Intelligent Document Processing (IDP)
- AI classification & auto-indexing
- Semantic search
- Records lifecycle automation
- Compliance & audit readiness
to deliver a paperless, secure, and knowledge-driven enterprise.
CORE AI CAPABILITIES
AI Document Ingestion
BOTeye enables high-volume, intelligent document ingestion through an automated capture pipeline that converts physical and digital records into structured, machine-readable assets. Using advanced OCR, image enhancement, and layout understanding, the platform extracts content from PDFs, scans, emails, and legacy file formats while preserving document integrity. The ingestion engine performs intelligent data capture, detects document types, and prepares records for downstream classification and indexing, ensuring a seamless transition from paper archives to a fully searchable digital repository.
Auto Classification & Smart Indexing
Through AI-driven auto-classification and metadata generation, BOTeye eliminates manual filing and tagging by automatically assigning document categories, departments, record types, and retention schedules based on organizational taxonomies and file plans. The system continuously learns from user behavior and historical records to refine its classification accuracy, creating a self-organizing archive where every document is contextually indexed, instantly retrievable, and aligned with records governance policies.
Semantic & Cognitive Search
BOTeye transforms traditional full-text search into a cognitive knowledge discovery experience by enabling semantic and contextual retrieval across the entire archive. Users can search using natural language, business terms, case references, contract values, or personal identifiers and instantly locate the exact document or related record, even when filenames or metadata are unknown. This semantic search capability understands intent and relationships between records, turning the digital archive into an intelligent, query-responsive knowledge base.
Records Lifecycle Management
The platform embeds policy-driven records lifecycle automation that governs documents from creation to long-term digital preservation or secure disposition. AI automatically applies retention schedules, triggers legal holds, manages version control, and enforces archival or destruction workflows in accordance with regulatory and organizational compliance requirements. This ensures that records management is proactive, consistent, and audit-ready while reducing storage costs and eliminating compliance risks.
Compliance & Audit Readiness
BOTeye maintains a tamper-evident, fully traceable audit trail for every record, capturing access history, version changes, and policy actions to support regulatory compliance and evidentiary requirements. The system can instantly assemble audit response packs, retrieve historical records on demand, and demonstrate adherence to retention and governance rules, enabling organizations to move from reactive audit preparation to continuous compliance with complete transparency and control.
Agentic Automation Layer
At the core of the solution is BOTeye’s agentic automation capability, which introduces autonomous, policy-aware AI agents that actively manage the archive rather than passively storing documents. These agents can detect missing files in a case record, automatically create digital folders, classify newly ingested content, notify stakeholders of retention events, respond to audit and legal queries, and generate compliance reports. Over time, the archive becomes a self-learning, self-organizing, and action-oriented digital records ecosystem that continuously improves its accuracy, governance, and retrieval performance.