AI agents / Agent monitoring
AI agent monitoring.
See what needs to change.
The AI marked the refund resolved. The customer returned because no refund was issued.
Monitor every customer-facing AI interaction. Connect agent actions to real outcomes, uncover silent failures, and see what needs to change.
Trusted by the fastest growing and publicly traded regulated services.
A closed conversation is not a resolved customer.
Automation rates can look healthy while customers repeat themselves, abandon tasks, or ask a human to finish the job.
The agent reports success. The customer still needs help.
Failed tools, wrong answers, and broken handoffs go unnoticed.
Your team sees the failure, but not which change would fix it.
See the failed outcome.
Find the cause.
Measure resolution, not just activity.
Connect conversations, agent steps, and customer outcomes across chat, voice, and workflows. Find false resolutions, repeat contact, and avoidable handoffs.
Customers return after the AI reports a successful resolution.
64% Resolved36% Unresolved
151Customers returning after AI support
Learn what the human did differently.
Compare failed AI journeys with successful human resolutions. Trace the gap to knowledge, prompts, models, tools, routing, or policy.
Why did the refund journey fail?
ChatHuman recovery reveals the gap:
AI: marked the request resolved
Tool: refund action never ran
Human: checked and issued refund
Fix: verify refund before closing
Give every failure a next step.
Group recurring failures by cause and customer impact. Send the evidence to the right owner and track whether the fix improves resolution.
Slack integrationRulebaseAPP8:01 AMRefund failures share a missing tool check. Review the affected journeys and route the fix to the agent owner.
Connect the agent to the customer outcome.
What it monitors
The full journey, including what happens after the AI responds.
AI conversations
Voice interactions
Agent traces
Tool calls
Human handoffs
Customer outcomesWhat it detects
Failures that a closed ticket or a high automation rate can hide.
False resolutionRepeat contactWrong answersFailed toolsUnnecessary handoffsPolicy gapsWhat your team gets
Evidence to choose the next change and measure its effect.
Root-cause analysisPrioritized fixesOwner alertsOutcome trackingCommon questions
What is AI agent monitoring for customer support?
AI agent monitoring reviews customer conversations, agent actions, and outcomes to find where an AI agent fails. Rulebase connects these signals with human handoffs to identify false resolutions, failed tools, missing knowledge, and the changes a team should investigate.
How is resolution different from containment?
Containment measures whether a conversation stayed with the automated system. Resolution asks whether the customer’s issue was actually completed. A contained conversation can still end in abandonment, repeat contact, or an action that never happened, so teams need outcome evidence beyond a closed ticket.
Put AI monitoring findings to work
How Rho reviews human and AI conversations →
Read how Rho uses continuous review and human resolutions to improve its customer operations.
Test agent changes with simulations →
Turn failed journeys into test scenarios before releasing a prompt, knowledge, or tool change.
“Rulebase is AI for customer ops at fintechs. It watches every interaction, flags risk in real time, and works the follow-up.”
Oremeyi Adeola Okah
Chief Customer Officer at Interswitch
Make every AI interaction count.
See where your agent fails, why customers return, and which fixes can improve resolution.
Schedule a DemoPrivacy choices
Choose whether Rulebase can use optional analytics and visitor insights. You can change this at any time from the footer. Read our Privacy Policy for more information.
Necessary
Enables core site behavior and stores your privacy choice in this browser for 180 days.
Product analytics
PostHog measures page views and interactions. It uses in-memory identifiers, and session recording is disabled.
Visitor insights
Mesh by Avina records session and form interactions and can use device or IP data to resolve business visitors through providers such as Vector or RB2B.