Unless

Provide compliant AI assistants for EU-regulated industries

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Unless

Target Audience

  • EU financial institutions
  • Healthcare providers
  • Insurance companies
  • Compliance officers

Hashtags

#NoCodeAI#EUCompliance#EnterpriseSupportAI#GDPRTech

Overview

Unless offers AI-powered customer and employee support specifically designed for finance, healthcare, and insurance sectors in the EU. It handles sensitive data while automatically complying with GDPR and EU AI Act regulations. The no-code platform integrates with legacy systems to reduce support tickets by up to 58% through instant answers and ticket deflection.

Key Features

1

Compliance-by-design

Built-in adherence to GDPR, CCPA, and EU AI Act standards

2

No-code deployment

Integrate AI assistants into legacy systems without coding

3

Privacy Vaults

Automatically anonymizes PII before AI processing

4

Quality Assurance

Continuous monitoring of conversation accuracy and sentiment

5

Enterprise Security

Military-grade encryption and DDoS protection standard

Use Cases

📉

Deflect customer support tickets

🏦

Answer financial compliance questions

⚕️

Provide healthcare information access

🛡️

Manage GDPR-sensitive data queries

📚

Optimize internal knowledge bases

Pros & Cons

Pros

  • Specialized for EU regulatory requirements
  • Prevents data leaks with Privacy Vault system
  • Works with existing legacy systems
  • Automated compliance monitoring

Cons

  • Primarily focused on EU markets
  • May be over-engineered for non-regulated industries
  • Limited technical customization options

Frequently Asked Questions

How does Unless protect sensitive data?

Uses Privacy Vaults to store PII separately and only feed anonymized tokens to AI models

Can non-technical teams manage the platform?

Yes, designed for self-service with optional onboarding training

Who is Unless designed for?

EU-regulated organizations in finance, healthcare, and insurance sectors

How does it prevent AI bias?

Responses based solely on organization-provided training data

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