RFP template: Choosing AI technology for enterprise customer service
An excel sheet containing 100+ detailed evaluation questions across seven categories in scoring-ready format you can send directly to vendors.
Learn MoreRead expert articles on conversational AI, automation, and customer experience to keep your support strategy one step ahead.
Your AI agent can now use your business systems to complete the customer's task, not just answer the question.
Subscribe to get a monthly roundup of the latest in AI, customer service, and technology.
How Philippine Airlines took an AI agent from a three-month pilot to production: the scope, the governance bar, the board conversation, and what comes next.
AI automation lets banks lower costs while improving service quality. Where the savings come from, what Epos Now's results looked like, and how to start.
This year's five ACX Award winners arrived at the same habit from five different industries: treating an AI agent as an operation to staff, measure, and improve, rather than a product to install and leave alone.
Here’s a look at why containment rate fails as an automation metric, and measures of success that can be tapped instead, such as automated resolutions.
Differentiate your customer experience with AI omnichannel customer service. Not sure how? Read this extensive guide to learn how.
Ada opens the configuration that shapes your AI agent to your own tools: MCP and APIs where changes stage on change sets, get tested before they ship, and land on the record.
Most guides to buying customer service AI are written for a generic enterprise. Airlines are not one. So the evaluation questions are different too. Here is what actually matters, and what to ask.
When a flight cancels, the hold queue does more damage than the weather. Watch an Ada-powered AI agent rebook a passenger, book the hotel, and file the claim in one 3.5-minute call.
Ada now answers the questions security teams ask: an Audit log with interface-level attribution, bulk end-user deletion as one tracked job, and visibility into every AI-assistant connection.
Ada's Instagram DMs channel is generally available: a direct Meta integration your team connects self-serve from the dashboard, so your AI agent answers customers right in their Instagram DMs.
Glossary is now generally available in Ada: a managed vocabulary of your business terms, translations, and definitions, applied on every turn of every conversation.
For organizations wondering whether AI can handle their most complex customer interactions, Green Feather offers a compelling answer.