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Narada AI
Agentic Process Automation For Enterprise Tools

What is Narada AI?

Narada AI provides agentic process automation solutions for enterprises, leveraging Large Action Models developed by AI researchers from UC Berkeley and Stanford. It moves beyond traditional rule-based RPA to automate complex workflows across diverse software ecosystems without requiring scripting or configuration. The platform is designed for both front-line automation, such as handling meeting follow-ups and expense reporting, and back-office automation, including web-based testing, IT process automation, and tasks spanning multiple finance and HR tools.

Narada AI emphasizes reliability, robustness, and safety, meeting enterprise standards. It ensures seamless integration across different tools and features self-healing automation resilient to interface changes. Data privacy is prioritized with on-premise options available and adherence to global privacy laws and security standards like SOC 2, GDPR, CCPA, and HIPAA (available in the Enterprise Plan). Customer data is explicitly not used for training AI models.

Features

  • Large Action Models: Automates complex workflows using advanced AI models.
  • Agentic Process Automation: Goes beyond rule-based RPA for dynamic task handling.
  • No-Code Automation: Requires no scripting or configuration for setup.
  • Cross-Ecosystem Integration: Works seamlessly across diverse enterprise tools.
  • Self-Healing Automation: Resilient to changes in software interfaces.
  • On-Prem Deployment Option: Available for enhanced data privacy and control.
  • Enterprise-Grade Security: Adheres to SOC 2, GDPR, CCPA, CASA Tier 2, and offers HIPAA compliance.
  • Front Line Automation: Automates tasks like meeting follow-ups, expense reports, CRM updates.
  • Back Office Automation: Automates web testing, IT processes, finance, and HR tasks.

Use Cases

  • Automating follow-ups after meetings and emails.
  • Converting receipts and emails into expense reports.
  • Updating CRM and ticketing systems from conversations.
  • Automating front-end web testing and validation.
  • Automating IT processes involving manual operation of online portals.
  • Automating finance and HR tasks that span multiple tools.

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