
概览
主要功能
- 自治票务解决
- 24 小时全天候客户服务覆盖
- 工作流和工具执行
- 对人类需要时的升级
- 多通道支持管理
- 知识基础上的响应
价格
- 模型
- Freemium
- 评分
- 4.5 / 5 (4)
使用场景
简单票务解决
Raya 会高效解决常见的客户询问, 例如回答常见问题或提供基本产品信息。
24 小时全天候支持覆盖
部署 Raya 可确保不间断的全天候客户支持, 缓解需要在非工作时间补充人手的需求, 并改善总体响应时间。
聊天机器人和直播支持集成
Raya 可与现有的聊天机器人和直播支持系统集成, 提高总体客户体验, Streamline 支持运营。
补充人类团队
Raya 可用于分流人类客户支持代理的常规任务, 使他们可以集中精力处理复杂的问题并提高整体效率。
优点 & 缺点
优点
- 自动解决票务
- 24 小时全天候无须额外人工费用
- 减轻人类客户支持代理的负担
- 规模化处理重复案例
- 缺乏相关集成的公开细节
- 自治性可能需要小心的限制
- 有效性依赖于知识数据库的质量
- 对高分辨率案例欠缺
缺点
- 公开的集成细节有限
- 自治可能需要细致的安全防护
- 效果取决于知识库质量
- 不太适合高度细微的案例
评测
4 个评分的平均值。
登录以留下评测。
Use it every day
Honestly didn't expect to like it this much. Multi-channel support handling is exactly what I needed, and 24/7 availability without staffing costs. but I reach for it almost every day now and it just clicks.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on multi-channel support handling, and resolves tickets end-to-end autonomously caught me off guard. still, I'd recommend giving it a real trial.
Compared a few options
Evaluated this against two competitors. Where it wins: workflow and tool execution and handles repetitive cases at scale. Where it lags: limited public detail on integrations. On balance the feature set — especially multi-channel support handling — justifies the 4 stars for our use case.
Does the job
Pretty happy overall. Multi-channel support handling just works and reduces load on human support agents. Autonomy may require careful guardrails can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.
问答
What onboarding and support is provided for enterprise AI deployments?
All plans include 24/7 technical support. Pro and above get dedicated success managers who help optimize your workflows, review performance metrics, and recommend improvements. Enterprise customers get custom onboarding, priority support with under 15-minute response times, and quarterly business reviews. Most teams achieve full deployment within 7 days.
Asked by Thandiwe Dlamini · Mar 19, 2026
What is an AI employee?
An AI employee — also called an AI teammate or AI agent — is an autonomous digital worker that owns a complete business function, not just answers questions. At Teammates.ai, Raya is an AI employee for customer service, Adam for sales, and Sara for recruiting. Unlike chatbots that handle individual queries, AI employees manage entire workflows: Raya resolves tickets and processes refunds, Adam qualifies leads and books meetings, Sara conducts structured interviews and scores candidates. They work 24/7, in 50+ languages, and onboard in under 10 minutes.
Asked by Mohammed Al-Amin · Mar 8, 2026
AI 员工是否可以取代人类员工?
AI 员工处理大多数人类团队目前耗时最长的重复高效作业 — 回复支持请求、筛选冷 lead、进行初轮应聘筛选。人类员工可以集中精力进行需要判断、同理心和战略性工作。支持经纪人员专注于复杂的升级工作。销售代表专注于成交。 招募人员专注于offer谈判和文化适应度。 AI 员工增强了人类团队的能力,但不会取代人类员工做出决定。大多数客户在 90 天内看到人类团队的产出增加一倍。
Asked by Gabriel Duarte · Feb 18, 2026
How do AI teammates differ from ChatGPT and LLMs?
ChatGPT waits for prompts and gives answers. AI teammates take initiative and complete work. They integrate with your CRM, helpdesk, and calendar — then act inside those systems autonomously. They remember context across conversations, follow your business rules, and continuously improve from feedback. ChatGPT assists; AI teammates deliver outcomes.
Asked by Olga Ivanova · Jan 28, 2026
How does an AI customer service agent automate support?
Raya resolves customer issues across phone, email, chat, WhatsApp, and social media in 50+ languages. She's not a FAQ bot — she processes refunds, updates orders, looks up account details, and only escalates issues that genuinely need human judgment. Your team gets full context when they pick up, so customers never repeat themselves.
Asked by Wei Chen · Jan 21, 2026
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