Whitecrow AI builds private, secure AI agents specifically tailored to your team's needs and workflows. Our platform:

• Connects directly to your existing tools—SharePoint, Xero, Slack, or internal databases
• Learns your business language, terminology, and specific processes
• Automates complex multi-step tasks while maintaining complete audit trails
• Runs in your controlled environment with enterprise-grade security
• Gives you AI automation power without compromising privacy or control

General AI assistants like ChatGPT are trained on public data and designed for broad use cases. Whitecrow AI is fundamentally different:

• Exclusive training: Your AI is trained only on your data, not public content
• Policy governance: Operates under your rules and compliance requirements
• Isolated deployment: Runs in your infrastructure, not shared cloud environments
• Custom understanding: Knows your vocabulary, processes, and business context
• Full control: You decide what it learns, how it operates, and where data lives

Whitecrow AI integrates seamlessly with your entire tech stack:

• Cloud storage: SharePoint, Google Drive, Dropbox, OneDrive
• Communication: Slack, Microsoft Teams, Gmail, Outlook
• CRM & ERP: Salesforce, SAP, HubSpot, Dynamics
• Accounting: Xero, QuickBooks, MYOB
• Project management: Asana, Monday, Confluence, Jira
• Custom systems: Your databases, APIs, or proprietary tools

Our integration approach is flexible—connecting via standard APIs, direct file access, or custom connectors. Each integration maintains your security and permissions.

Our training process is secure, iterative, and designed for your privacy:

• Discovery session: We identify your key data sources and priority use cases
• Secure ingestion: Selected content (documents, emails, databases) is ingested and stored in your private environment
• Knowledge building: We build a private knowledge base using retrieval-augmented generation (RAG)
• AI fine-tuning: The AI learns your terminology, decision patterns, and workflows
• Iterative validation: Start with a pilot, validate results with your team, then expand gradually
• Complete isolation: Your data never touches public AI models or third-party servers—everything runs in your infrastructure with your encryption keys

Data privacy is foundational to our platform. We implement multiple layers of protection:

• Controlled environment: Your data stays in your VPC, on-premises servers, or dedicated cloud instance
• End-to-end encryption: Both in transit and at rest, using your own encryption keys
• Role-based access: Permissions mirror your organizational structure—team members only see what they're authorized to access
• Complete audit trails: Every AI action, data query, and system change is logged for compliance
• Flexible retention: Strict data retention policies, automatic deletion schedules, and immediate removal on request
• Regulatory compliance: Architecture designed for HIPAA, GDPR, SOC 2, and other frameworks

Yes, Whitecrow AI is SOC 2 Type II compliant. Our security controls are independently audited and verified:

• Five trust principles: Security, availability, processing integrity, confidentiality, and privacy
• Continuous monitoring: Real-time security oversight and threat detection
• Comprehensive logging: All system activities tracked and retained for audit
• Change management: Rigorous processes for all system updates and modifications
• Incident response: Documented protocols for security events and breaches
• Full documentation: Detailed security practices, access controls, and operational procedures available during onboarding

We can provide SOC 2 reports and security questionnaires, and work with your compliance team on implementation.

Getting started is straightforward and designed to show value quickly:

• Discovery session: Book a call to discuss your workflows, pain points, and automation goals
• Identify pilot use case: We target a high-impact task that takes hours each week and involves repetitive data handling
• Connect systems: Link to your selected data sources with your security team's approval
• Deploy in sandbox: Within days, test your AI agent in a safe, isolated environment
• Validate results: Review and refine the AI's output with your team
• Gradual expansion: Add more workflows, integrations, and team members at your pace
• Ongoing support: Full control and visibility throughout, with training from our engineers