Bead AI
Bead AI automates internal audit and SOX control testing workflows using AI agents that execute existing testing plans step by step, from evidence collection to working paper generation. The platform enables testing of 100% of controls and whole populations rather than limited samples, reducing testing time by 70% while producing fully auditable decision logs. It processes any evidence type and generates support documentation in native Excel format customized to client templates.
- Regulatory & Compliance Technology
- AI Agents
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Internal audit and SOX compliance teams face repetitive, manual control testing workflows that consume significant time and resources. Traditional testing relies on limited sampling, co-sourcing arrangements, and manual evidence handling, leading to knowledge drain, turnover risk, and auditor burnout.
Solution
Bead AI automates control testing workflows end-to-end using AI agents that follow existing testing plans step by step. The platform manages evidence requests, executes tests, and generates marked-up documentation in native Excel format, producing fully auditable decision logs at every stage. It processes any evidence type, enabling testing of 100% of controls and whole populations rather than limited samples, reducing overall testing time by 70%. No setup or custom configuration is required, and the system integrates with existing testing attributes and templates.
Target Audience
Primary customers are internal audit teams, SOX compliance professionals, and financial controllers at mid-cap to Fortune 10 enterprises who need to automate control testing and reduce reliance on co-sourcing.
Features
- Testing Agent that runs existing testing plans automatically with auditable decision logs at every stage
- PBC Collection Agent that automatically gathers evidence from source systems
- PBC Validation Agent that checks every file the moment it arrives
- Working Papers Agent that generates marked-up support documentation in native Excel format customized to client templates
- Continuous monitoring capabilities for full populations across every reporting period
- Deployment options including cloud, private cloud, and on-premises with SOC 2 Type II certification
- Zero-retention LLM inference via Amazon Bedrock and Google Cloud Vertex AI, ensuring evidence never reaches model providers
- MCP (Model Context Protocol) integration to connect Bead AI with other AI tools