Omnipresent support
that never loses the thread.
Delight’s AI agent maintains context across channels and
resolves cases end to end.
One agent across every channel. Memory, context, and continuity built in.
One continuous agent that moves with the customer, carrying memory, context, and intent across every channel, with the ability to finish what it starts.
Proactive engagement
Detects churn signals, failed logins, and delayed orders. Reaches customers before a ticket exists.
Memory that travels
Keeps customer context across every session and channel. Picks up exactly where the conversation left off.
Omnichannel continuity
Carries full context across every channel transition. Customers never have to repeat themselves.
Three ways to reach customers before they reach you
Complex cases, fully resolved.
No handoff, no drop.
Instead of handing off when complexity hits, Agent Steward coordinates sub-agents across systems in parallel, works asynchronously across sessions, and follows up until the case is closed.
Voice AI that knows who it's talking to
Natural, real-time conversation
Handles accents, interruptions, and background noise naturally. Responds instantly, just like a real conversation.Context carries across channels
When a conversation moves from chat to a call, full context carries. Follow-up continues by SMS or email after the call ends.Your brand's voice, literally
Customize the AI's voice, accent, and speaking style to match your brand. Customers hear a consistent, on-brand experience every time they call.
Go deeper on every feature
Low CSAT Analysis: Turn bad scores into actionable failure categories
Delight.ai's Trust OS 2.0 adds Low CSAT Analysis—AI that reads every 1–2 score conversation and categorizes it into one of five failure types, so you know exactly where your agent is breaking down.
Gradual rollout and A/B testing: Stop guessing whether your AI changes worked
Delight.ai's Trust OS 2.0 adds two tools for shipping AI agent changes safely: gradual rollout to validate with real traffic and A/B testing to prove if a change actually worked.
Thinking Messages: The gap between question and answer
The typing indicator tells users to wait. Thinking Messages tell them why. Trust OS 2.0 adds per-tool messages that replace the generic dots with something that actually communicates.
Staging: The missing layer between dev & production
Delight.ai's staging environment adds the missing layer between dev and production — a full production mirror, isolated from customers, where you can validate changes on their own terms.
Test Upgrade: Build your AI agent test set from real conversations
The new Test Upgrade lets you create test cases from real conversation IDs, organize with labels, share sets across environments, and get consistent pass/fail results.
Introducing Zero-Touch Improvement: Your AI gets better while you sleep
Zero-Touch Improvement is a graduated AI optimization system that evolves from human-guided learning to fully autonomous improvement. Part of Trust OS 2.0 by delight.ai.