TOK LABS
Customer Support

Automatisering voor Customer Support

Support teams are often buried in repetitive, well-understood questions that don't need a human — until they do. We build AI agents that resolve the routine cases and hand off complex ones with full context.

Veelvoorkomende knelpunten

Wat teams meestal vertraagt

  • A large share of tickets are repetitive questions with well-known answers
  • Response times slip during volume spikes, hurting satisfaction scores
  • Agents lose time gathering context (order history, account status) before they can respond
  • Knowledge lives in scattered docs instead of a system the team — or an AI agent — can use directly
Wat we automatiseren

Processen die we doorgaans automatiseren in support

AI first-response agents

An AI agent handles common questions end-to-end, using your existing knowledge base and order/account data as context.

Smart ticket routing

Incoming tickets are automatically categorized and routed to the right queue or specialist, with priority flags applied consistently.

Context assembly for agents

When a human is needed, relevant account, order, and history data is assembled automatically so agents don't start from zero.

Post-resolution follow-up

Automated satisfaction surveys and follow-up sequences run consistently after every resolved ticket.

Wat er verandert

Wat dit in de praktijk meestal betekent

Faster first response

Routine questions can be answered immediately instead of waiting in queue.

More time for complex cases

Human agents spend their time on issues that actually need judgment.

Consistent quality

Answers to common questions stay consistent regardless of who — or what — responds.

Voorbeeldscenario's

Illustratieve gebruikscases

Samengestelde voorbeelden gebaseerd op veelvoorkomende patronen die we zien in support — geen specifieke klantresultaten.

Voorbeeld

AI agent for tier-1 tickets

A software company's support queue was dominated by password resets, billing questions, and basic how-to requests. An AI agent now resolves these directly, reducing first-response time from hours to seconds for the majority of incoming tickets.

Voorbeeld

Automatic context assembly

Agents at a subscription business were spending several minutes per ticket just gathering account history. We automated context assembly so the full picture — plan, billing status, recent activity — is ready the moment a ticket opens.

Klaar om te zien hoe automatisering eruit zou kunnen zien voor uw support-activiteiten?

Een kort gesprek is meestal genoeg om te bepalen of er een match is — en waar u zou moeten beginnen als dat zo is.

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