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Unless
AI assistance for regulated industries

What is Unless?

Unless delivers a comprehensive AI solution tailored specifically for highly-regulated industries in Europe, where traditionally 90% of AI pilots fail due to regulatory complexity and integration challenges. The platform enables organizations to configure, train, and deploy AI assistants across multiple use cases while maintaining strict compliance with EU regulations.

Built with a compliance-by-design approach, Unless offers enterprise-grade security features, including advanced encryption, DDoS protection, and privacy safeguards. The platform facilitates ticket deflection, reduces case handling time, and provides 24/7 personalized customer support through AI-powered assistants, all while adhering to strict data governance standards.

Features

  • End-to-end Solution: Configure, train, and deploy AI assistants across multiple use cases
  • Compliance Framework: Adherence to EU regulations for privacy, security, and data governance
  • No-code Integration: Rapid implementation into legacy systems without technical expertise
  • Privacy Protection: Built-in privacy vaults for handling Personally Identifiable Information
  • Quality Assurance: Autonomous monitoring of AI conversation quality
  • Multi-channel Support: AI assistance through website, client portals, and internal tools

Use Cases

  • Customer support automation
  • Internal team assistance
  • Client portal enhancement
  • Documentation improvement
  • Ticket deflection
  • Knowledge base management

FAQs

  • Do I need technical skills?
    No technical skills are required. The platform is self-service, and onboarding training is provided to upskill users when needed.
  • Is the Unless AI unbiased?
    The AI responses depend entirely on the sources that your organization uses to train them. External bias does not play a role.
  • How does Unless ensure data privacy?
    The platform uses built-in constraints including an AI Privacy Safeguard that stores PII in a protected Privacy Vault, while feeding the AI model with anonymized tokens instead.

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