The initiative in customer relationships always belongs to you
Decagon, through tools such as Agent Operating Procedures and Duet, enables companies to deploy AI agents for complex customer service workflows within three weeks, whereas previously using competitors required nine months. Multiple enterprises (such as a global airline, a music streaming platform, a social network, and a health insurance company) have achieved rapid deployment and high success rates. The article emphasizes that enterprise software should activate rather than appropriate customer relationships, and Decagon's glass-box design gives operators control over iteration speed instead of relying on vendors.
Recently, a Fortune 50 company used Decagon to build a customer experience solution in less than one-tenth of the time it previously took with a competitor's "AI customer service" product.
In just three weeks, the company built, tested, and iterated on Decagon agents across five highly complex customer interaction flows. Previously, they had spent nine months trying to get the same experience to meet expectations, failing repeatedly. Same business, same complexity, same customer base—yet vastly different results.
This is not an isolated case. A global airline went from project kickoff to full deployment in under three weeks; a leading music streaming platform moved from proof of concept to production in six business days, with its AI assistant successfully handling 71% of conversations and achieving a customer satisfaction score of 4.2; a social network achieved an 80% successful resolution rate within two months of launch; a health insurance company built workflows for five different use cases in one month and reported, "No other vendor could do this."
Looking at the bigger picture, companies running customer experience on Decagon are deploying agentic AI at record speed and achieving record results. These achievements are impressive, but the real common thread is a larger idea: ownership.
The software we are building is designed to activate your customer relationships, not to own them—giving you back the kind of ownership that enterprise software has quietly stripped away over the past two decades.
They bet on your data, yet deliver slow software
Step back, and the assumption that enterprise software has relied on for the past twenty-five years becomes clear: the vendor, not the enterprise itself, is the true "expert" on its customers.
This assumption is both structural and self-reinforcing. Configuration-heavy systems are so complex that someone must act as a translator between the business and the software, and the vendor is the only one holding the keys. So the playbook writes itself: close the deal, configure the system according to the vendor's understanding of your company, lock in the contract, and wait. Over time, the vendor accumulates your institutional knowledge and quietly becomes the intermediary between you and your target customers.
Today, the "AI version" of this paradigm is being built by heirs to the same line of thinking. The rhetoric differs ("replace automation with agents!"), but the underlying bet is the same: the vendor, with its self-interested expertise, can understand your customer relationships better than you can.
Decagon, however, has chosen a different path.
We bet on you and give you the speed to iterate
Throughout our adult lives, we have deeply felt the pain of being treated like strangers in support queues rather than being served as regular customers. We grew up in the era of internet commerce and know that customers deserve better.
The way to achieve this is to put cutting-edge agentic AI directly into the hands of the business operators who know customers best. That is why we built Decagon as a "glass box," not a "black box." With Agent Operating Procedures(AOPs) and the agent-building companion Duet, operators can quickly deploy and iterate on AI agents without heavy reliance on professional services. This means companies canbuild, optimize, and scalecustomer experiences that belong tothem, not to us.
This operator-led AI also upends traditional economic models. Every interaction makes the system smarter and more efficient, serving your customer experience—not slower and more expensive, serving the vendor's margins.
We built Decagon for a future where every customer gets a 24/7 dedicated assistant, built on your institutional knowledge and your judgment of what customers truly need, rather than some vendor's interpretation.
Technology vendors of the past quarter-century made themselves indispensable by inserting themselves between your business and your customers. Now the question worth asking is one of ownership: is your software designed to activate your relationship with customers, or is it quietly engineered to encroach on that relationship?
The ownership of customer relationships has always been yours. Your software should ultimately reflect that.