Manual QA cannot keep pace
Sampling leaves most AI conversations unread and makes coverage hard to prove.
Operate AI support with confidence, every day.
Monitor eligible AI support conversations, measure quality consistently, and give your team a clear operating rhythm for what to improve next.
The visibility gap
What your automation metrics leave out
Automation increases capacity. It can also put more distance between support operations and the customer experience.
Quality is difficult to compare
Without a shared measure, teams debate performance instead of improving it.
Policy findings arrive too late
Exceptions surface after a customer escalation or a costly pattern has formed.
Priorities compete for attention
Operators need evidence to decide which workflow, prompt, or policy to fix first.
Operational failure queue
Know which support failures to fix first
See which failures are most urgent, how often they recur, and the conversations and policy evidence behind them.
Continuous quality coverage
Review eligible AI conversations continuously instead of relying on a small manual sample, so recurring failures and policy exceptions become visible before they turn into escalations.
Prioritized operational risk
See which failures are severe, how often they recur, and which workflows or policies they affect, with the source conversations attached for review.
Evidence for the next change
Move from a quality or policy finding to the expected behavior, agent response, and related conversations, then assign the smallest useful operational change.
How support operations work
A practical path from finding to improvement
Start the week with evidence, move from finding to owner, and close the loop with measured improvement.
A failure pattern crosses the threshold
CraftCX creates an incident for a severe finding or a problem that recurs across conversations.
Review the policy and conversation evidence
Operators see the expected behavior, the agent response, and the related conversations.
Assign the smallest useful change
Update the workflow, guidance, or policy and give the issue an owner.
Relevant capabilities
The parts of CraftCX closest to your work
The platform stays the same. Your view starts with the signals and decisions closest to your role.
Continuous AI QA
Measure eligible AI-handled conversations against a consistent quality standard.
AXIS
Track resolution accuracy, customer effort, and handoff quality over time.
Policy monitoring
Find policy exceptions with the conversation and policy evidence attached.
Trends and weekly reports
Give operators a focused view of what changed and what needs attention.
Confidence runs on CraftCX.
See how continuous observability gives support operations the evidence to improve AI-powered support.