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The customer relationship was always yours

Posted on June 24, 2026

Jesse Zhang
Co-founder & CEO

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Recently, a Fortune 50 company building with Decagon did something in less than 10% of the time it had previously taken them using a competing "AI CX" product.

In just three weeks, they built, tested, and iterated their Decagon agent across five super complex customer-facing workflows. Before switching, they had spent nine months trying and failing to get those same experiences to perform. Same business. Same complexity. Same customers.

And it isn't just one story. A global airline went from kickoff to full launch in under three weeks. A top music streaming platform went from proof-of-concept to production in six business days, already tracking 71% of conversations successfully handled by their AI concierge with a 4.2 CSAT. A social network hit an 80% successful handling rate within two months of going live. A health insurer built workflows for five distinct use cases in a single month, telling us: "No other vendor has been able to do this."

Across the board, the businesses running their customer experiences on Decagon are putting agentic AI to work in record time and getting record results. These outcomes are great, but the real common thread is a bigger idea: ownership.

We're building software that activates your customer relationships instead of appropriating them, giving you back the kind of ownership enterprise software has spent two decades quietly taking away.

They're betting on your data and giving you slow software

Take one step back and the assumption underpinning the last twenty-five years of enterprise software becomes hard to miss: the notion that the vendor, not the business, is the "real expert" on its clients' customers.

That assumption was both structural and self-reinforcing. Configuration-heavy systems were complicated enough that somebody had to translate between your business and the software, and the vendor was the only one with the keys. The playbook wrote itself: close the deal, configure the system based on the vendor's interpretation of your company, lock in the contract, and let it ride. Over time, that vendor accumulated your institutional knowledge and quietly became the middleman between you and the people you were trying to serve.

The "AI version" of this paradigm is being built right now by the same intellectual lineage that built the last one. The pitch sounds different ("agents instead of automation!") but the underlying bet is identical: that a vendor, applying its self-serving expertise, can figure out your customer relationships better than you can.

At Decagon, we're taking a different tack.

We're betting on you and giving you speed of iteration

For our entire adult lives, we've felt the pain of being a stranger in a support queue instead of someone served like a regular. We grew up in the internet-commerce era, and know that customers deserve better.

The way to deliver it is to put leading-edge agentic AI directly in the hands of the business operators who know their customers best. That's why we built Decagon as a glass box, not a black box. With Agent Operating Procedures (AOPs) and agent-building partner Duet, operators are empowered to rapidly deploy and iterate on their AI agents without heavy reliance on professional services. This means businesses can build, optimize, and scale the CX of their dreams, not ours.

This operator-led AI flips the economics too. Every interaction makes the system smarter and more efficient in service of your customers' experience— not slower and more expensive in service of the vendor's bottom line.

We're building Decagon for a future where every customer gets a 24/7 concierge built on your institutional knowledge and your judgment about what your customers actually need. Not some vendor's interpretation of it.

The technology vendors of the last quarter-century made themselves indispensable by standing between your business and your customers. The question worth asking now is a question of ownership: is your software built to activate your relationship with your customers, or quietly engineered to appropriate it?

The customer relationship was always yours. Your software should finally reflect that.

“With Decagon Voice, we’re able to combine high performance and seamless brand customization with cross-channel memory, ensuring every interaction is connected and true to Chime’s member-first values.”
Janelle Sallenave
Chief Operating Officer

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With Decagon, CX teams don’t have to guess whether a change will improve CSAT or deflection. They can move quickly, measure what matters, and act on what works.

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Join us

There are very few places where you can prototype with frontier LLMs, ship to production in days, and watch users engage with the systems you built—all while owning the entire stack, from intent parsing and tool usage to API integration and observability. This role at Decagon is one of those places.

From my own experience working across both agent development and broader engineering initiatives at Decagon, I’ve seen firsthand how uniquely impactful this work can be. Whether I’m building intelligent workflows for customers or designing infrastructure that supports our agent platform, it’s rare to find an environment where the work transitions from concept to production within days, actively powering user experiences and transforming how businesses operate.

If you’re looking for a role where you can:

  • Build at the frontier of LLMs, automation, and user interaction
  • Deploy AI agents that solve high-value business use cases across industries including retail, travel and hospitality, fintech, edtech, and more
  • Work directly with customers on high-impact use cases
  • Ship fast, iterate constantly, and own your work from idea to production
  • Join a fast-moving, collaborative team solving real-world challenges with AI

We’d love to hear from you!

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