ابنِ العقلوراء كل عملية.مع Facthory

Traditional knowledge systems store information, search tools retrieve it, and copilots typically answer questions from a limited set of connected sources. Facthory builds an operational model that allows AI to understand relationships across the enterprise.

The platform does more than locate documents. It can:

• Identify missing, outdated, or concentrated organizational knowledge
• Understand relationships between people, processes, systems, assets, and decisions
• Analyze structured and unstructured operational data
• Discover how work is actually performed
• Generate and govern operational procedures
• Coordinate durable agents across long-running tasks
• Support decisions with traceable evidence and organizational context

Facthory complements your existing systems by creating an intelligence and reasoning layer across them.

Read about the Living Operational Model or contact our team to discuss your current technology landscape.

Facthory is designed to work across structured, unstructured, and multimodal enterprise information.

Depending on your environment and deployment, sources may include:

• ERP, CRM, procurement, quality, maintenance, and operational systems
• Microsoft 365, Outlook, SharePoint, OneDrive, and Teams
• Documents, spreadsheets, presentations, manuals, and SOPs
• Databases, data warehouses, data lakes, and analytical platforms
• Images, audio recordings, instructional videos, and operational footage
• CAD, BIM, IFC, engineering, and technical files
• Project-management, ticketing, and collaboration systems
• Internal applications and industry-specific platforms

Connections can be established through supported integrations, APIs, secure file ingestion, or purpose-built connectors.

Explore Systems and Data Connectivity or contact us about an integration.

Facthory combines enterprise context, source traceability, governance controls, and human oversight to reduce unsupported or unreliable AI output.

Depending on the use case, responses and agent actions can include:

• Citations to the underlying evidence
• Source and document provenance
• Version and approval status
• Confidence indicators
• Contradiction and information-gap detection
• Role-based access restrictions
• Human review and approval steps
• Complete execution and decision histories

Facthory can also restrict agents from acting when evidence is insufficient, when required information is missing, or when an authorized person must approve the result.

Learn about Human Oversight and Approvals or schedule a governance demonstration.

Implementation time depends on the selected use case, number of integrations, security requirements, deployment model, and availability of source information.

A focused initial deployment can typically begin with:

• One clearly defined business problem
• A limited group of users
• A selected set of data sources
• Agreed success criteria
• A controlled agent or analytical workflow

Enterprise programs may expand progressively across additional teams, systems, sites, and solutions. Private-cloud and on-premises deployments require additional infrastructure, security, and operational planning.

The recommended approach is to begin with a measurable use case and establish the platform foundation required for later expansion.

Book a discovery session to receive an implementation assessment.