LeighAnne Manwiller
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.
Voice 2.0: Outbound calling, proactive outreach, and 2,000+ quality improvements
Voice 2.0 ships outbound calling, proactive voice outreach, and 2,000+ quality improvements. Your AI can now reach customers first—before they ever need to call in.
Retail is at the AI tipping point. The race to lead starts now.
Retail is past the AI adoption curve and shoppers are ready for more. Explore how brands can build trust, use memory, and more to win long‑term loyalty.
Tech & Media leads on AI trust. Here's what that position can do for the entire market.
Tech & Media leads all industries in AI trust. Find out how this advantage shapes consumer expectations and sets the standard for AI across every market.
Healthcare has the furthest to go on AI trust. The starting point is clearer than you think.
While AI trust in healthcare can improve, patients show clear demand for AI in admin tasks, such as scheduling, benefits, and transparent data practices.
In financial services, AI trust has to be earned transaction by transaction
AI trust in financial services relies on accuracy, reversibility, and human backup. Learn how brands can earn trust via transactions.
Travel has the most to gain at the AI inflection point. Here's where to start.
Travel leads in AI adoption but faces the widest gap between routine automation and crisis‑moment human needs. See how brands can win with smarter handoffs.
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.
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.
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.
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.
AI readiness: What it is and why it makes or breaks your deployment
AI readiness determines whether your deployment delivers results or stalls. Learn what it means, how to assess it, and how to act on your score before you commit to a deployment plan.
Best Decagon alternatives in 2026: 7 competitors compared
Compare the best Decagon alternatives for 2026, including delight.ai, Rasa, Fin by Intercom, Cresta, Ada, Sierra, and voice-focused AI support tools.
How For You Conversations Make Every Interaction Feel Personal
Discover how brands can deliver experiences that are consistent, intelligent, and deeply human with For You Conversations from delight.ai.
The future of customer connection starts with Omnipresence
Built by delight.ai and backed by Sendbird’s decade of communication expertise, Omnipresence introduces a new standard for connection—always on, always aware, always personal.
New era of voice AI agents: Faster, smarter, and built with human-like empathy
Meet delight.ai’s voice AI agent, built to transform every phone interaction with faster responses, clearer conversations, and omnichannel support.
From carts to care: How retail AI agents turn every interaction into loyalty
Explore how retail AI agents resolve issues fast and build customer loyalty. From Black Friday chaos to daily support, every interaction counts.
Why your AI agent needs a manager (yes, really)
Learn why AI agents need active management, how roles like the AI manager prevent performance drift, and what successful teams like Norse Atlantic Airways do differently.
