Customer Support Technology, CRM and Quality Assurance

How do we use CRM and help desk systems?

Our agents work in your CRM and help desk so every chat is linked to a customer record. Consistent tagging, routing rules and macros keep data usable. Learn more in CRM and help desk management and how CRM integration improves chat support.

What does data-driven customer support mean?

Data-driven customer support means decisions about staffing, training and processes are based on measured conversation data, not assumptions. We track volume patterns, response and handle times, resolution, satisfaction and contact reasons, and turn them into reports through our customer support analytics service.

How does quality assurance work?

Quality assurance (QA) is the regular review of a sample of conversations against a scorecard. Our scorecards cover accuracy, policy compliance, tone, and correct tagging and escalation. QA results feed agent coaching and playbook updates.

Which security practices do we follow?

We apply practical safeguards to the customer data our agents handle:

• Least-privilege access: agents receive only the permissions their tasks require in your systems.
• Data stays in your tools: conversations and customer records remain in your platforms.
• Access lifecycle: access is granted at onboarding and removed when an agent leaves your programme.
• Confidentiality: agents follow confidentiality obligations and your data-handling rules.
• Sensitive data handling: agents follow your rules for payment details and personal data, such as never requesting full card numbers in chat.

Do we require you to change tools?

No. We adapt to the chat, help desk and CRM platforms you already use.