Decagon is an AI agent platform built for customer service teams that need to automate interactions at scale. The platform unifies chat, voice, and email within a single intelligence layer, so agents behave consistently regardless of which channel a customer uses. Teams define workflows using Agent Operating Procedures, written in natural language rather than complex configuration code, which speeds up iteration and reduces the engineering overhead typically associated with deploying AI. Decagon also includes built-in testing, observability tools, and an analytics suite that turns every conversation into data, helping teams continuously refine agent behavior without waiting on a vendor.
For BPOs and contact centers, Decagon's impact shows up most clearly in deflection rates and cost reduction. Clients have reported up to 80% deflection and 95% cost reduction, with one team seeing ten times the deflection at launch compared to their original projections. The platform handles complete customer interactions rather than just assisting agents, which means fewer tickets escalate to live staff. Voice AI agents support natural dialog and can be customized to fit a brand's tone. Cross-channel memory keeps context intact as customers move between channels, and workflow updates can be made without filing vendor tickets or running an engineering sprint.
Category
Customer Support AI · Voice AI · Workflow Automation
Focus
BPO & Outsourcing
Deployment
Cloud / API
