Decagon vs Entrata

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.

Scores every inbound and outbound call at a property against customer-defined scorecards using AI, with call transcriptions, summaries and a coaching dashboard for managers.

AI-powered audit that abstracts lease documents into structured terms and compares them with billing data to find missed revenue and overcharge risk, with evidence-backed findings by property or portfolio.

Property marketing website builder that uses AI to generate blog posts, SEO meta tags and floor-plan descriptions and to build or migrate property websites, with real-time pricing, online applications and lead capture from Entrata data.

LLM-based agent on Entrata Layered Intelligence (ELI+) that automates the lead-to-lease workflow and guides prospects through leasing; sits beside Maintenance AI, Payments AI and Renewals AI.

AI agent that takes maintenance requests from residents by text, classifies and prioritizes them, guides residents through self-troubleshooting and creates enriched work orders, escalating to staff only when necessary.

AI agent that contacts residents by email and text about balances, late notices and payment plans to collect rent on time, with communication logs and performance reporting.

AI agent that predicts lease renewals 90 days ahead, messages residents by text and email about their renewal, answers renewal questions and segments residents by intent.

AI tier of the Entrata platform with ELI Console (cited, permission-aware answers and a daily decision queue), Agent Studio (describe a job and get an agent built around your SOPs and guardrails), AI Admin (controls over who uses AI, which data and models) and Analytics (reports on request).

Workspace inside the Entrata platform where operators manage, deploy and govern AI agents and onsite teams: a command center of agent metrics, an agent roster, escalations and playbooks, SOP training, a no-code agent builder and brand-voice controls.