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Customer service teams are under constant pressure to respond faster, resolve on first contact, and maintain quality across every channel. The data they need — customer history, ticket context, brand guidelines, SLA timers — lives in separate systems that are slow to navigate. Every minute an agent spends searching for information is a minute a customer spends waiting. Wayak connects your helpdesk, CRM, and knowledge bases into a unified layer that agents can query instantly. AI agents draft replies that follow your brand voice, classify incoming tickets automatically, and surface escalation patterns your team would otherwise miss. Playbooks automate the monitoring work — SLA tracking, trend analysis, ticket routing — so your team focuses on the conversations that matter.

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Use cases

Email reply drafting

Read incoming emails, detect the issue type, and draft context-aware responses that follow your tone guidelines.

Ticket classification

Automatically categorize, prioritize, and tag new tickets the moment they arrive in your helpdesk.

Customer history lookup

Consolidate a customer’s interactions, open tickets, and account details into a single profile in seconds.

Escalation pattern analysis

Identify systemic issues driving repeated escalations and recommend process fixes backed by data.

SLA monitoring

Track response and resolution times against targets and flag at-risk tickets before they breach.

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Platform capabilities used

CapabilityHow it’s used
Data sourcesHelpdesk system (tickets, interactions, SLA timers), CRM (customer accounts, contacts, contract details), email system (inbound/outbound messages)
Knowledge spacesBrand voice guidelines, email templates, product FAQ documents, escalation policies, refund and credit policies
Semantic layerObjects for tickets, customers, and interactions. Metrics for first response time, resolution time, CSAT score, and escalation rate. Dimensions for category, priority, channel, and agent
AgentsSupport Rep for customer-facing interactions and reply drafting. Escalation Analyst for pattern identification and root-cause analysis
PlaybooksEvent-triggered ticket classification, scheduled SLA monitoring scans, monthly escalation trend reports