Decagon
Customer support automation
Nuanced queries forced human hand-offs. Now, AI agents reason through complex tasks to resolve 91% of global tickets autonomously.
- 91% automated global support for major client
Legacy bots deflected queries but resolved just 30%. Rebuilding with reasoning agents doubled the rate of true resolutions.
An AI-native customer service automation platform valued at $1.2B serves enterprise clients including Verizon, YETI, and Canva.
Standard industry metrics masked poor performance, as chatbots achieved 80–100% containment rates while often delivering irrelevant links or failing...
“We got really excited by OpenAI and what was happening in the industry. In 2022, we decided to go all in and rebuild the product using the reasoning capabilities of LLMs.”
AI customer service automation platform for messaging, voice, and email.
AI research and deployment company developing generative models and tools.
Related implementations across industries and use cases
Nuanced queries forced human hand-offs. Now, AI agents reason through complex tasks to resolve 91% of global tickets autonomously.
Sequential models collapsed under messy workflows. A parallel AI engine now clears 40k requests/second with sub-3s response times.
AI support risked hallucinations. Now, 20 specialized models fact-check every answer against strict company policies.
Setup and data analysis held back shops for weeks. AI now runs those workflows, helping merchants land their first sale in days.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.