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What CraftCX does

CraftCX evaluates the conversations your AI agents handle. It shows what happened, how customers experienced it, and what your team can improve. Use CraftCX alongside metrics such as deflection, containment, and response time. Review conversation evidence and patterns across your support operation.

Features

Measure AI support quality

Evaluate resolution accuracy, customer effort, and handoff quality with the AXIS score.

Review the evidence

See the reasoning, conversation evidence, and failure themes behind each assessment.

Track trends

Compare performance over time to find recurring problems and quality regressions.

Connect your support data

Ingest conversations from your helpdesk or send transcripts through the CraftCX API.
Connect Front, HubSpot, Intercom, or Gorgias. You can also send transcripts through the CraftCX API or connect AI assistants through the CraftCX MCP server.

Support Intelligence

As AI agents resolve more conversations, important customer insight can stay hidden in support transcripts. CraftCX preserves that insight by detecting signals such as bug reports, feature requests, documentation gaps, usability problems, and billing issues. Related signals are grouped into recurring customer problems and needs, so your team can:
  • Spot new and growing issues
  • Understand which problems demand attention
  • Review the conversations behind each signal
  • Turn support activity into evidence for product and operational decisions
Learn more about Signals, or explore Signals in CraftCX.

Who uses CraftCX

CraftCX is built for teams responsible for the quality and performance of AI-powered support.

Support and CX leaders

Understand whether AI is delivering the experience your customers expect.

Support operations teams

Find failure patterns, monitor changes, and decide what to improve next.

AI operations teams

Evaluate agent behavior with independent evidence and track quality over time.
Follow the quickstart to connect your first source.