What the template covers
Account-aware support
Within its permissions, AI answers with the customer's account status in view; it produces customer-specific resolutions, not generic ones.
Multichannel communication
WhatsApp, Telegram, and web chat converge in the same dialogue engine; history is kept in a single record.
Customer-specific problem solving
Transaction status, balance, and past records are brought into context; the issue becomes clear in the first dialogue.
Safe handover to an agent
Sensitive or out-of-permission matters are handed over to an agent along with their context.
High-sensitivity data environment
Data is kept in an isolated environment; access is role-based, and every access is logged.
Audit and reporting
The entire support flow is auditable; volumes and resolution times are reported.
Context ready, actions in natural language
The support team doesn't hunt for customer context; when a dialogue arrives, the context is ready. When needed, actions are taken in natural language.
Sensitive data, defined access
- Environment
- The platform runs in an isolated environment dedicated to your organization; no data is shared between environments.
- KVKK
- Personal and financial data processing is configured in compliance with KVKK.
- Audit log
- Every access to account data and every action is logged so it can be reviewed retrospectively.
- Access
- Role-based authorization; the AI's access scope is defined and limited like a role.
Live at a crypto asset platform
Account-aware customer support runs multichannel at a crypto asset platform; in a high-sensitivity data environment, with auditable records.
Reference names are shared on request, with mutual consent.
Let's start with your security requirements
In the discovery meeting we review your data classification and access policies; the pilot scope is defined around your security requirements.