SLA Management
Track and manage service level agreements with automated timers, escalations and warnings to ensure timely resolution of all cases.
Central service desk for complaints, inquiries and requests. Omnichannel intake, SLA timers, triage and routing, case workflows, communications, knowledge base, root-cause and corrective actions, and regulatory reporting. Integrated with PAS, Claims, Billing and customer and agent portals.
Our Complaint, SLA & Service Desk solution provides end-to-end functionality for managing customer complaints, inquiries and service requests. Ensure seamless coordination across service teams with built-in SLA management and regulatory compliance.
Track and manage service level agreements with automated timers, escalations and warnings to ensure timely resolution of all cases.
Maintain compliant logs, registers, timelines and outcomes. Generate periodic regulator reports with full audit trail.
Modular approach to cover all stages of complaint and service request management. Enable modules progressively based on your organization's needs.
Email, WA, SMS, portal, CTI, call logs and branch walk-ins.
Complaints, inquiries, requests with workflows, tasks and SLAs.
Auto classification, routing by skills and queues, and priorities.
Clock and stop rules, holidays, warnings and multi-level escalations.
Templates, merge fields, attachments and audit trail. Two-way messaging.
Articles, SOPs, canned responses and feedback loops.
Capture causes, corrective and preventive actions, and owner follow-ups.
Registers, timelines, outcomes and periodic regulator reports.
Volumes, SLA compliance, NPS, CSAT and backlog heatmaps.
Consent, access controls and redaction tools for sensitive info.
PAS, Claims, Billing, CTI, Email, WA, SMS, DWH, BI and portals.
The system is designed to integrate easily with existing policy, claims, billing and communication systems to ensure smooth data exchange and unified service operations.
A practical rollout approach to standardize service desk processes with measurable results. Validate the system with realistic sample data before full-scale deployment.