Fast AI support. Aligned with your team.

CraftCX monitors every AI support conversation against your policies. Violations, recurring failures, and regressions become evidence-backed incidents your team can resolve.

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Works with the helpdesk you already use

Automation is creating a growing blind spot in support.

The conversations your agent resolves are often the conversations your team never reviews. CraftCX independently checks each one and flags the cases that need human attention.

Spend less time on manual review

Focus support operations where it matters

Monitor every live and historical AI support conversation, then bring likely violations into one focused review queue.

See the evidence

Understand every finding

Compare expected behavior with the agent response and the conversation evidence behind it.

Find recurring failures

See patterns across conversations

Automatically group related violations and track policy-level trends and regressions.

Improve your source policies

Find guidance that creates risk

Surface stale, unclear, or conflicting guidance when it affects agent behavior.

From static document to active oversight

Build an operating loop around the policies your support team already relies on.

Bring your policies

Import the documents your support organization already uses. CraftCX turns them into monitorable rules and surfaces unclear, stale, or conflicting guidance.

Monitor every conversation

Evaluate live and historical AI support conversations against the same active rules across your helpdesk.

Turn findings into incidents

Group recurring violations, alert the right people, and track each incident from evidence to resolution.

Turn policy failures into operational work.

Each incident brings together the rule, expected behavior, agent response, evidence, severity, recurrence, owner, status, and due date. Your team gets a clear path from detection to resolution.

Know what needs attention

Use severity, confidence, and real-time alerts to focus your team on meaningful failures.

Find patterns early

Track recurrence, policy-level trends, and regressions before they become customer escalations.

Fix the right part of the system

Use the evidence to determine whether the agent, workflow, or source policy needs attention.

Know when your AI support agent breaks the rules

See the policy failures that need attention today, with the evidence your team needs to resolve them.

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