Decagon vs Genesys

A/B-testing suite for AI support agents: structured experiments (tone, logic, flows) against live traffic with control groups, statistical-significance testing and gradual rollout.

Dashboards and natural-language querying ('Ask AI') over support data: CSAT/deflection performance tracking, heatmaps, customer-journey visualization and knowledge-base performance.

Analyzes support conversations to detect gaps in a company's help center and auto-generates draft articles, ranked by impact, with monthly updates.

Integrated testing suite (internally called 'Simulations') that validates AI-agent behavior across channels before production deployment.

Always-on monitoring and QA for AI and human agent interactions against custom quality criteria.

Builds and runs customer-support agents that resolve enquiries over chat, email and voice.

Decagon's chat channel — an AI agent that handles live customer conversations in a web or in-app chat surface.

Decagon's email channel — agents that read and answer customer email threads rather than routing them to a queue.

Decagon's voice channel — an AI agent that answers customer phone calls in place of a hold queue.

Decagon's authoring layer for the rules an AI support agent follows, so non-engineering teams can build, iterate on and scale agents.

An AI partner built into Decagon that helps teams build and improve support agents — distilling best practices from hundreds of Decagon deployments into guidance for the builder, and auto-tuning the agent via "Duet Autopilot," which improves it with every conversation it handles.

The speech and text analytics layer of Genesys Cloud CX: it transcribes voice and digital interactions, spots topics, scores customer sentiment and agent empathy, and reports how they change over time. It is a capability inside the Genesys Cloud CX tiers rather than a product bought on its own.

Genesys Cloud Copilot gives contact-centre agents and supervisors real-time AI assistance including auto-summarisation, knowledge retrieval, next-best-action guidance and translation across 70+ languages.

Selects and analyzes customer interactions for quality assurance using AI.

Forecasts staffing needs up to two years ahead using 25+ machine-learning models and an AI-powered Activity Planner for schedule optimization.

Watches website visitor behaviour inside Genesys Cloud CX, scores each visitor's likelihood to buy, churn or abandon a cart, and triggers a chat, offer or message when the model says it is worth engaging. Included in the CX 2 tier and above; an add-on on CX 1.

Genesys Cloud Agentic Virtual Agent is an autonomous AI agent that reasons through a customer's goal, plans actions and executes multi-step workflows across systems to resolve requests end to end without human intervention.

Genesys Cloud AI Studio is a centralized, low-code hub for building, configuring, managing and governing AI-powered experiences such as virtual agents and copilots.