Career (and Education)

Education & Career

TODO: Add an example that uses an Ayra Member ecosystem (e.g. Velocity Network) that is part of the Ayra Trust Network.

• A credential issued by a member of the Velocity Network, which results in three main checks:

  • Technical Trust checks:

    • Cryptographic check is done

  • Human Trust checks (againts governance frameworks & trust registries)

    • The Verifier checks the Velocity Network trust registry to confirm that the Issuer is a member of the Velocity Network AND authorized to issue an Ayra.BusinessCard

    • Ayra Trust Network trust registry is checked to confirm that the VN is a member of the Ayra Trust Network and they have delegated Ayra.BusinessCard rights

Scenario: Professional Networking and Long-term Career Matching

Context: John is a highly-skilled software architect with multiple certifications (AWS, Kubernetes, cybersecurity) who is actively exploring career opportunities. He's working with several headhunters and frequently attends industry events.

Initial Connection: Sarah is a senior HR leader at a major tech company and meets John at a technology conference. Instead of exchanging traditional business cards or LinkedIn connections, they use Ayra Cards for a more comprehensive professional introduction.

The Exchange: John presents his Ayra Card via NFC tap or QR code scan. Sarah's Ayra-enabled app automatically discovers that John has multiple credential payloads available:

• Employment AI Agent: John's personal career agent (owned by him, not his employer) that can engage with other professional agents for opportunity matching

• Professional Profile: Comprehensive career history, skills matrix, and availability status that Sarah can request access to

• Insurance/Benefits Profile: Health, dental, and professional liability coverage details (Sarah doesn't request this initially)

• Immigration Status Payload: Links to a trusted immigration law firm with pre-verified work authorization details (relevant for international opportunities)

• Education Credentials: Verified degrees and certifications from accredited institutions

• References Network: Encrypted contact information for professional references, with consent management

Initial Assessment: Sarah reviews John's professional profile and finds his skills impressive but doesn't have an immediate opening that matches his experience level and salary expectations. However, her system creates a secure, persistent connection.

Long-term Value Creation: Three months later, Sarah's company lands a major cloud migration project requiring John's exact skill set. Her AI recruitment system:

• Automatically identifies John as a potential match from her network

• Reaches out to John's AI agent through the established DIDComm connection

• Requests an updated professional profile and current availability

• Proposes an initial screening call based on the new role requirements

Advanced Features Demonstrated:

• Consent Management: John can granularly control what information is shared and for how long

• Dynamic Updates: John's profile automatically reflects new certifications or role changes

• Trust Networks: Both parties can verify each other through mutual professional connections

• Privacy Preservation: Sensitive information remains encrypted and is only shared with explicit consent

• Agent-to-Agent Communication: Reduces human overhead in initial screening and matching processes