Post by Chyngyz D.

Gorgias is jazz. Kodif is classical music. that is how Matt Dale described the difference. i first met Matt years ago at ElevateCX. s/o to Sarah Hatter at the time, we were still early at KODIF. we stayed in touch over the years, and recently we finally had the opportunity to work together with Matt and the Clearly Filtered team. this one was special. Clearly Filtered has a complex cx environment: Shopify, Recharge, Loop, Gorgias. Customer requests vary significantly as well: subscriptions, returns, order changes, and highly technical questions around water filtration, pfas, fluoride, heavy metals, and other contaminants. that is exactly where ai cannot just be an faq bot. it has to understand the customer’s situation, follow the right policy, connect to live systems, and actually take action. one thing Matt Dale said really stuck with me: "a lot of ai tools feel like jazz: too much improvisation, too much unpredictability, too much “let’s see what happens.” what he wanted was more like classical music: structured, clear, predictable, and easy to control. that is exactly what we are trying to build at Kodif. not ai that sounds impressive in a demo but becomes hard to trust in production. ai that cx operators can understand, train, control, and improve. because the goal is to turn cx operators into the conductor, guiding ai to produce classical music: structured, consistent, and trusted every time. ai that knows when to take action and when to hand off to a human. the results so far with Clearly Filtered: 📈 72% chat containment 🔥 2,120 automations per week ⭐ 4.36★ csat on subscription management and in Matt’s words, Kodif works in a way that “makes sense to my brain.” that is probably one of my favorite customer quotes. because the future of cx ai is not just about more automation. it is about giving operators confidence that the ai will do the right thing, the same way, every time. i am also proud of the team behind this. our sales team listened deeply during the sales process. our onboarding team helped get the implementation over the finish line. and our engineering team jumped in quickly whenever something needed to be fixed. that is the company we are trying to build: a product that works. a team that cares. grateful to Matt Dale, Amy O'Connell, Elena Salsedo and the whole Clearly Filtered team for trusting us. and grateful to the cx community. sometimes you meet someone at an event years ago, stay in touch, and eventually get to build something meaningful together. full case study: https://lnkd.in/gUWKQngC