Trace内在系统内直接执行客户支持任务的 AI 代理

4.2 (6)

审阅者 Daniel Nikulshyn·更新 2026年5月

AI Agents Customer Support Automation Integrations CX Operations Workflow Automation Enterprise

概览

Trace 是一个基于 AI 的自动化平台，设计用于客户运营团队。在连接到客户端已使用的内部工具和工作流程的基础上，Trace 部署 AI 代理，可以从头到尾执行客户请求，而不仅仅是推荐回复。不再将客户支持门票定向到人类处理重复性动作，如退款、帐户更新或订单更改，Trace 在其基础上直接执行，团队配置警戒线和批准规则，而此平台处理执行、日志记录和在必要时人工介入。它面向支持、运营和 CX 领导人，旨在减少门票数量并缩短解决时间，而不需要重建其现有堆栈。

主要功能

针对从头到尾的任务执行的 AI代理
连接 CRM、账单和内在工具
人工批准和升级工作流
每项自动化动作的审计日志
每用例的自定义工作册
与自动化速率和解决时间相对应的分析

价格

模型: Freemium
分类: 王常服务
评分: 4.2 / 5 (6)

使用场景

自动处理退款处理

在账单系统中部署 AI 代理，处理退款请求，根据需要将边缘案例递交给人类代理

解决帐户更新门票

让 AI 代理直接在 CRM 和内部工具中执行帐户更改，减少门票数量用于重复的PROFILE 和设置更新

处理订单更改请求

自动订单修改、取消和地址更改跨连接系统，削减解决时间 CX 高通量团队

审计和优化支持自动化

使用审计日志和与自动化速率和解决时间相关的分析测量代理绩效并为每个用例调整工作册

优点 & 缺点

优点

在本机系统中执行任务，而不只是草拟回复
与现有支持和后办公具集成
可配置的警戒线和人工在流水线中的控制
可在大规模下减少重复门票处理
需要对内部系统进行集成工作
不太有用的人员队伍低门票数量
信任自治行动的时间来建立
定价和可用性不透明

缺点

需要对内部系统进行集成工作
对票量很低的团队来说，实用性较低
相信自动行为需要时间来建立
定价和可用性并不总是透明

评测

4.2

6 个评分的平均值。

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Pierre Dubois

May 12, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: audit logs for every automated action and can reduce repetitive ticket handling at scale. Where it lags: less useful for teams with low ticket volume. On balance the feature set — especially custom playbooks per use case — justifies the 4 stars for our use case.

Leila Hassan

Jan 24, 2026

Use it every day

Honestly didn't expect to like it this much. Custom playbooks per use case is exactly what I needed, and can reduce repetitive ticket handling at scale. I do wish trust in autonomous actions takes time to build, but I reach for it almost every day now and it just clicks.

Grace Okafor

Dec 29, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is human approval and escalation workflows — handled better than most — and integrates with existing support and back-office tools. Trust in autonomous actions takes time to build is my one real gripe. Worth the time if this is your use case.

Jamal Carter

Dec 11, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is human approval and escalation workflows — handled better than most — and configurable guardrails and human-in-the-loop controls. Trust in autonomous actions takes time to build is my one real gripe. Worth the time if this is your use case.

Wei Chen

Nov 26, 2025

Does the job

Pretty happy overall. Human approval and escalation workflows just works and configurable guardrails and human-in-the-loop controls. Requires integration work with internal systems can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Camille Laurent

Jul 5, 2025

Solid for our team

We rolled this out across the team last quarter and can reduce repetitive ticket handling at scale. Analytics on automation rate and resolution time fits neatly into how we already work, and connectors to CRMs, billing, and internal tools removed a step we used to do by hand. Requires integration work with internal systems, which is the main caveat, but it has held up under daily use.

问答

Is Trace suitable for small teams?

Trace may be less useful for teams with low ticket volume, as it is designed to reduce repetitive ticket handling at scale.

Asked by Yuki Kobayashi · Jun 3, 2026

What are the benefits of using Trace?

Trace reduces ticket volume and resolution time by automating repetitive tasks, and it integrates with existing support and back-office tools, providing customizable workflows and analytics.

Asked by Yara Mansour · May 16, 2026

Can Trace handle tasks independently?

Yes, Trace's AI agents can execute customer requests end-to-end without human intervention, but with configurable guardrails and approval rules.

Asked by Paloma Ruiz · May 5, 2026

What systems does Trace integrate with?

Trace connects to CRMs, billing, and internal tools via secure APIs.

Asked by Yelena Popova · Apr 11, 2026