AI Agent monitoring for customer support teams

Deploy Your AI Agent. Know Exactly How It Is Performing.

Isara gives customer support leaders a continuous, independent view of every AI agent conversation, so they always know what the agent is saying, where it is falling short, and what to do about it.

Two professionals reviewing financial graphs and charts with a tablet and papers on a conference table.

What is holding AI agent deployments back

Deploying an AI agent creates scale. It also creates a blind spot. Support leaders know the volume their agent is handling but not the quality of what it is saying, the commitments it is making, or the customers it is quietly failing.

Platform dashboards report what the agent did, not whether it did it well. Issues surface through complaints and churn, not before them.

The result? A growing gap between what leaders assume their AI agent is doing and what customers are actually experiencing.

Isara for AI agent deployment

See what needs you now

  • Live alerts when frustration spikes or risky language appears in an AI agent conversation

  • Conversation-level risk scoring so support leads know where to step in

  • Watchlists for VIP accounts and customers flagged as at risk

When a VIP customer tells your AI agent "we have tried this three times" and the effort score spikes mid-thread, Isara raises a real-time alert, raises the priority score, and adds the account to a watchlist so a lead can step in before the relationship deteriorates.

Digital interface displaying a list of alerts with icons, including 'Slow Response Compla', 'Predicted CSAT Drop', 'Delivery Delays', and 'Integration Instability', with notifications and statuses.

Every AI agent conversation, clearly scored

  • Consistent sentiment and effort scoring across 100% of AI agent interactions

  • Trend lines by topic, queue, and channel with a 30-day forward view of experience health

  • Auto-tagged areas of concern that cluster related issues across your agent deployment

When complaint patterns around a specific topic cluster and reopen rates rise, Isara surfaces the trend and recommends a documentation fix or configuration change before the pattern compounds.

Dashboard showing customer sentiment data, with a bar chart for this week's sentiment, a predicted CSAT trend line, and a monthly sentiment change of -13%.

Improve your AI agent with evidence, not assumptions

  • Identify the specific interaction types where your AI agent is consistently underperforming

  • Surface the conversations where the agent gave incorrect, inconsistent, or incomplete responses

  • Targeted recommendations for agent configuration, knowledge base updates, and supervision

When a billing thread reopens after an AI agent interaction, Isara identifies the exact point where the response lost accuracy, recommends a specific knowledge base update, and tracks whether the fix reduces reopens once it ships.

Project management dashboard showing team members, task progress, and details of a task titled 'Fixing SSO Login Errors' with progress bar and team member avatars.

Stop repeat issues before they become patterns

  • Spot documentation gaps and unclear flows that your AI agent keeps falling into

  • See which topics generate the highest handle time, escalation rates, and reopens from AI agent interactions

  • Feed structured findings to product and documentation teams with direct conversation evidence

When multiple threads reference the same unresolved topic and reopen within 24 hours, Isara identifies the root cause, recommends a concrete fix, and tracks the outcome.

Screenshot of a mobile app interface titled 'Subscription Pauses' with a note labeled 'Documentation fixes' and a paragraph explaining the addition of detailed help center articles with screenshots to reduce repeat contacts and improve self-service rates.
A screenshot of a training module titled 'Refund Policy Clarity' with content about agents providing inconsistent refund answers, detected through conversations, and the recommendation for training and macro updates.

The Isara difference

Independent monitoring, not platform reporting

Isara operates independently of the platform running your AI agent. That independence means the findings are not filtered through the same system that has an interest in reporting good performance.

Signal that moves the metrics


Isara focuses on the signals that determine whether customers stay or leave, frustration, effort, and resolution quality across AI agent interactions, not vanity metrics that look good in a quarterly review.

Connect in minutes, keep your stack


Connect your helpdesk in minutes with a secure, no‑code integration. Isara layers intelligence over your workflows so agents stay in their existing tools and get alerts, scores, and recommendations in context.

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💡 Isara helps reduce support costs by deflecting tickets, minimizing escalations, and improving agent productivity