When customer requests grow faster than the team, you slide either into chaos or into hiring. We help companies set up support so tickets do not depend on one person and nothing gets lost anyway.
Support reaches out when they hit the first serious bottleneck. These are the scenarios that trigger change at our clients.
Half the tickets are about the same thing. People write the same answer, over and over. Work a self-service knowledge base could handle.
Support runs on a shared mailbox. When someone leaves, half the conversations disappear. SLA on response time cannot be measured because there is nowhere to measure it.
When support cannot solve a problem, it escalates to engineering. The CTO then handles tickets instead of the product, because the support team has nowhere to look for answers.
Response time is two days on weekdays, four on weekends. The client moves to a competitor before we manage to react.
A manager has no idea what the most common ticket reasons are. You cannot remove causes on purpose, because the data is missing.
A new hire has to dig through months of conversations to grasp what the product does. The knowledge base does not exist or is out of date.
Support starts at a ticketing system and ends at AI-suggested replies. We pick the platform, design the process, and help with adoption.
Zendesk, Intercom, Freshdesk, Helpscout. We choose by team size and channels.
AI where humans repeat themselves. FAQ chatbot, reply suggestions, classification.
When the client can find an answer themselves, they do not need to open a ticket.
Write us where your support strains the most. We will come back with a proposed first step within one business day.
