Trace

AI agents that execute customer support tasks directly inside your internal systems

4.2 (6)

Pārskatījis Daniel Nikulshyn·Atjaunināts 2026. g. maijs

Automation Customer Support CX Operations AI Agents Enterprise Workflow Automation Integrations

Pārskats

Trace is an AI automation platform built for customer operations teams. It connects to the internal tools and workflows agents already use, then deploys AI agents that can carry out customer requests end-to-end rather than just suggesting replies. Instead of routing tickets to humans for repetitive actions like refunds, account updates, or order changes, Trace performs the work directly in the underlying systems. Teams configure guardrails and approval rules, while the platform handles execution, logging, and handoffs to humans when needed. It is aimed at support, operations, and CX leaders who want to reduce ticket volume and resolution time without rebuilding their existing stack.

Galvenās funkcijas

AI agents for end-to-end task execution
Connectors to CRMs, billing, and internal tools
Human approval and escalation workflows
Audit logs for every automated action
Custom playbooks per use case
Analytics on automation rate and resolution time

Lietošanas gadījumi

Automate Refund Processing

Deploy AI agents to handle refund requests end-to-end in billing systems, applying guardrails and escalating edge cases to human agents when needed.

Resolve Account Update Tickets

Let AI agents execute account changes directly in CRMs and internal tools, reducing ticket volume for repetitive profile and settings updates.

Handle Order Change Requests

Automate order modifications, cancellations, and address changes across connected systems, cutting resolution time for high-volume CX teams.

Audit and Optimize Support Automation

Use audit logs and analytics on automation rate and resolution time to measure agent performance and refine playbooks per use case.

Plusi un mīnusi

Plusi

Executes tasks in real systems, not just drafts replies
Integrates with existing support and back-office tools
Configurable guardrails and human-in-the-loop controls
Can reduce repetitive ticket handling at scale

Mīnusi

Requires integration work with internal systems
Less useful for teams with low ticket volume
Trust in autonomous actions takes time to build
Pricing and availability not always transparent

Atsauksmes

4.2

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Pierre Dubois

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

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

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

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

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

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.