Reliable AI-powered customer support automation depends not only on the quality of the model. Above all, it depends on the safeguards in place to govern automated responses in production.
Reliable AI-powered customer support automation depends not only on the quality of the model. Above all, it depends on the safeguards in place to govern automated responses in production.
An agentic AI that is useful in production does not rely solely on its capabilities. It depends above all on the framework in which you activate it, limit it, measure it, and explain it to teams.
Traditional chatbots have limitations. Agent AI acts, consults, and makes decisions in real time. Discover what will change in 2026 for your customer service and your teams.
Traditional quality monitoring analyzes 2% of calls. With generative AI, increase coverage to 100%, detect issues in real time, and free up your quality managers. Complete guide.
Clémentine, customer relations manager at Octopia, explains how Klark helps her on a daily basis: instant responses, automatic translation integrated into Zendesk, and time savings on every ticket.
Caroline, Customer Service Manager at Octopia, explains how Klark has saved 1 minute per ticket and improved the quality of support across several international marketplaces.
By selecting "Accept", you authorize Klark and our partners to use cookies and to share your data for all these purposes. We and our partners use cookies and similar tools to measure the audience of our site and evaluate the performance of our advertising. With the exception of cookies that are essential for navigation on our site, we only use these cookies with your consent.
.jpg)
.png)
