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
Context carries across channels
Your brand's voice, literally
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.
Frequently asked questions
An omnipresent AI customer service agent is a single AI that operates across every channel a customer uses — in-app chat, web, SMS, email, WhatsApp, voice, and social — without losing context between sessions or channel switches. Unlike traditional chatbots that reset with each conversation, an omnipresent agent maintains a continuous memory of the customer's history, open issues, and preferences, and can proactively reach out when it detects a problem before the customer does.
Delight.ai's Agent Memory Platform (AMP) captures and stores customer context — interaction history, stated preferences, open cases, and behavioral signals — across every session and channel. When a customer moves from chat to SMS to a phone call, the AI picks up exactly where the previous interaction ended, without asking the customer to re-explain their situation. Context is not transferred between separate systems; it lives in a single persistent memory layer the agent always has access to.
Delight.ai's AI agent supports in-app chat, web chat, SMS, email, WhatsApp, voice (inbound and outbound), and social channels. All channels are handled by the same underlying agent — not separate bots per channel — so conversations can move between channels without losing context. Voice AI was introduced in August 2025 and expanded with proactive outbound calling capability in 2026.
Yes. Agent Steward, delight.ai's agentic resolution layer, is designed for cases that require coordination across multiple systems, third parties, or time horizons. Instead of handing the case to a human when resolution extends beyond one session, Agent Steward works asynchronously in the background — dispatching sub-agents, waiting for responses from external systems, and proactively following up with the customer by SMS, email, or voice when there's an update. Every action is logged in a timestamped activity trail.
A standard chatbot handles one conversation at a time, resets between sessions, and operates on a single channel. Delight.ai's omnipresent AI agent maintains persistent memory across channels and sessions, proactively initiates contact based on behavioral signals before customers ask for help, and can coordinate multi-step resolutions across backend systems and third parties without human handoff. The key difference is continuity: a chatbot answers; an omnipresent agent follows through.
Delight.ai's AI agent can initiate outbound contact proactively. Proactive chat uses real-time triggers — based on user behavior, system events, or external APIs — to reach customers across chat, SMS, and WhatsApp before they contact support. Proactive email lets human agents send outbound messages directly from the Desk dashboard. Urgent Notices push real-time alerts without a code deployment. Voice AI can place outbound calls. All four modes are available today.