Agent Experience
About Agent Experience
Adopt AI's Agent Experience is a cutting-edge solution designed to enhance the integration and functionality of AI agents within digital platforms. By focusing on seamless interactions between AI agents and existing systems, it ensures that these agents operate efficiently and effectively, thereby improving overall user engagement and satisfaction.
Latest News about Agent Experience
One Agent, Two Channels: Chatbase Launches Voice AI for Support
Tired of separate systems for chat and phone? Chatbase's new Voice AI uses one agent for both, aiming to slash costs and unify customer experience.
Atlassian launches DX features for AI-native engineering
Per an Atlassian blog post, the **DX** team released four new features aimed at helping engineering organisations adopt AI-native workflows. The launches include an **AI chat interface** for querying internal data, **AI Code Insights** (which surfaces AI-generated code attribution and a set of reports on AI usage), **proactive SLA-based alerts**, and an **Agent Experience** metric that gives an organisation-level agent effectiveness score, filterable by team. The `AI Code Overview` report buckets SDLC metrics by percentage of AI in each pull request. Atlassian frames these additions as tools to measure where AI helps and where it introduces gaps across the software delivery lifecycle.
Agent Experience (AX): Why AI Agents Need Their Own Experience Design for B2B
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