AI agents / Agent monitoring

Know where your AI fails.
And why.

Unresolved AI journeys0%Example data
Silent failure detected2 sec ago

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.

01

The agent reports success. The customer still needs help.

02

Failed tools, wrong answers, and broken handoffs go unnoticed.

03

Your team sees the failure, but not which change would fix it.

See the failed outcome.
Find the cause.

01Monitor

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.

Illustrative example
Journey analysis

Customers return after the AI reports a successful resolution.

Category breakdown
Tool failures
Knowledge gaps
Customer outcomes64% Resolved36% Unresolved
Repeat contact151

Customers returning after AI support

02Diagnose

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.

Illustrative example

Why did the refund journey fail?

Chat

Human recovery reveals the gap:

AI: marked the request resolved

Tool: refund action never ran

Human: checked and issued refund

Fix: verify refund before closing

03Prioritize

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.

Illustrative example
Slack integration
RulebaseAPP8:01 AM

Refund 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 outcomes

What it detects

Failures that a closed ticket or a high automation rate can hide.

False resolution
Repeat contact
Wrong answers
Failed tools
Unnecessary handoffs
Policy gaps

What your team gets

Evidence to choose the next change and measure its effect.

Root-cause analysis
Prioritized fixes
Owner alerts
Outcome tracking
Oremeyi Adeola Okah

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

Necessary

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Always on

PostHog measures page views and interactions. It uses in-memory identifiers, and session recording is disabled.

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.