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AI support with monitored quality.
Before putting AI in front of customers, you need to test, monitor, and improve. InituBot was designed for that.
Quality dashboard
Readiness, issues, and progress
92%
readiness
14
knowledge gaps
7d
recent trend
Not just AI answering. An agent configured, tested, published, monitored, and continuously improved.
Quality reduces risk, gives confidence to publish, and shows what to improve.
Pre-flight
Test before go-live: greeting, base, human request, out-of-scope questions, and ambiguity.
Readiness
Agent readiness status: approved, warnings, blocked, testing, untested, or outdated.
Versioning and rollback
Publish traceable versions and go back when a change does not perform well.
Quality Dashboard
Dashboard to track quality, resolution, handoff, and improvement points.
Issues and knowledge gaps
Signals that something needs adjustment in the base, rules, or configuration.
Continuous improvement
Use real conversations to prioritize adjustments and evolve the agent with data.
Measure what used to be invisible in support.
Track operational metrics without guesswork.
Conversations resolved without human
Handoff rate
First-response time
Knowledge gaps
Problematic sessions
Quality score
Period evolution
Put quality at the center of automation.
Test, publish, monitor, and improve your agent with real conversations.