Decagon Launches AI Training Program and Enhanced Voice Platform
Decagon introduces Decagon University and Decagon Voice 2.0 to equip teams with AI skills and improve customer experience.
Decagon, the leading AI agents platform for customer experience, has announced Decagon University, a flagship AI education program designed to equip teams with the skills to build, optimize, and scale AI agents. The program was unveiled at the inaugural Decagon Dialogues event alongside Decagon Voice 2.0, which offers significant performance upgrades and cross-channel memory.
Decagon University: Empowering Teams for the AI Era
AI agent development is often slow and reliant on engineering teams or costly services. Decagon created Agent Operating Procedures (AOPs) to enable non-technical teams to define and iterate AI logic quickly. Decagon University provides video courses, hands-on training, and certification to help CX, product, and engineering teams master AI concepts and the Decagon platform.
"As we scaled with Decagon, we needed a self-serve way for teams across the organization to build and shape AI agents so we could move faster," said Danielle Doremus, Senior Director of Business Operations and Customer Experience at ClassPass. "Decagon University made that possible."
Decagon Voice 2.0: Faster, Smarter, and More Customizable
The new Decagon Voice 2.0 features a 65% reduction in latency, enabling faster, more natural conversations. It also offers fine-grained customization, cross-channel memory, and integrations like outbound calling and SMS. These enhancements unlock use cases such as proactive reminders, promotional outreach, and retention workflows.
"At Chime, delivering fast, effortless support is essential," said Janelle Sallenave, Chief Experience Officer at Chime. "Decagon Voice ensures every interaction is connected and true to Chime’s member-first values."
Key Takeaways from Decagon Dialogues
The event featured a keynote by Jesse Zhang, Co-founder and CEO of Decagon, and Mike Krieger, Anthropic Chief Product Officer, discussing the future of AI agents. Sessions highlighted the shift toward transparent, adaptable, and enterprise-ready AI solutions.
"AI agents are changing how businesses connect with customers, but most tools are still too slow, expensive, and complex," said Zhang. "Our goal is to put the power back in the hands of the people closest to the customer."
For more information or to request a demo, visit https://decagon.ai/.
About Decagon
Decagon is a conversational AI platform enabling brands to deliver concierge customer experiences with AI agents. Learn more at .
Related News
AWS extends Bedrock AgentCore Gateway to unify MCP servers for AI agents
AWS announces expanded Amazon Bedrock AgentCore Gateway support for MCP servers, enabling centralized management of AI agent tools across organizations.
CEOs Must Prioritize AI Investment Amid Rapid Change
Forward-thinking CEOs are focusing on AI investment, agile operations, and strategic growth to navigate disruption and lead competitively.
About the Author
Dr. Lisa Kim
AI Ethics Researcher
Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.