CX Observability for AI Agents - Introducing the ‘Overture’ Release

Agentic AI now runs on your calls, representing your brand in every interaction. It's one of the biggest CX investments you've made in years, and the teams that adopted it fast are now optimizing and adding new layers of automation.

Right now, IT and CX leaders are under pressure to scale agentic AI, but they're limited by what they can report on. Every platform in the chain sees its own layer. Only your customer experiences all of them at once, in a single call. A customer interaction runs across telephony, queue, routing, the handoff, and the human agent, not just the model. How can you prove the impact of AI on the customer experience?

Introducing Overture, your evidence layer for the agentic AI era. CX Observability traces the whole interaction, end to end. With this release, that visibility extends into the AI agents your customers interact with every day. Operata captures every moment in real time. Every step is corelated in one connected timeline, across AI and Human agents, with the attributes, metrics, and logs beneath it.

For any team running AI in production, AI observability tools have become an enterprise requirement. Gartner expects 40% of organizations deploying AI to use them to monitor model performance by 2028. CX Observability is different. It sees the layer the model never touches. Model metrics tell you what the AI said, not what the customer experienced. Without the full journey, you can't govern the outcome. That gap was manageable when humans handled the calls. It doesn't hold at AI scale.

CX Observability for AI Agents delivers across three pillars:

1. Trace the whole journey. One connected timeline for every interaction, from the first AI turn to human resolution with the Customer Journey Trace.
2. Catch the failures your dashboards call healthy. Spot downstream failures during the call, not in tomorrow's dashboard.
3. Deploy what's proven. Cohort analysis for AI agents. Every vendor and human team on one bar, with evidence behind every resolution and escalation.

See the whole journey

A single call now crosses voice AI, IVR, tool calls, queues, human agents, transfers, and the network. Each one sees only its own segment, and stops at the edge. The call itself, what the customer experienced, falls in the gap between them.

The Customer Journey Trace puts every step on one timeline, in the order it happened. Each span is clickable, opening the attributes, metrics, logs, and latency beneath it:
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• ‍AI turns and intent metrics. Visibility into what the AI understood to catch misread intent that sent a call the wrong way, and every turn the AI took to get there. A clear picture of whether the AI logic played a part in the call failure, or if packet loss at the telephony level is where to look first.

• Tool calls and the latency behind them. Track every tool call the AI makes to internal and third-party APIs.  Follow the trace to the source and pinpoint whether it was the  API or  gateway that timed out, and fix it fast. 

• IVR interactions, queue waits, and agent handling. The full path the call took, including the IVR, the time in queue with the routing events behind it, and the handoff to the agent once connected.  One timeline shows the whole path, IVR to queue to agent to AI, so you point to the stage that owns the fault instead of proving it wasn’t yours.

• Transfers, mutes, and holds. Every transfer captured, and what context was carried across, as well as mute and hold events and their duration.  Expose and investigate dropped context and dead air that customers feel, but no report records. Timestamped evidence of a 14-second hold the agent placed, not a network drop. 

• WebRTC and network quality. The telemetry detail that lets you pinpoint a bad connection and the contributing audio quality, packet loss, and jitter that has nothing to do with Agentic AI.  Prove what actually happened with the detail of the degradation into the agent's last mile, the carrier, or the media path.

No single vendor dashboard shows you the failures that live in between: the transfer that dropped context, the handoff marked resolved while the customer stayed on the line, the tool call that stalled with the caller waiting. The Customer Journey Trace shows all of them.

Catch failures before the customer feels it.

Voice AI agents are only as good as their connections. When an API call breaks and context from your CRM, knowledge base, or order management system is lost, the AI continues the call, without the detail it needed. Audio is clean, the call is live, every dashboard looks healthy. Nobody knows it failed until it's escalated hours later.

From the failed call to the detail within the interaction.

This release makes those failures visible, as they happen, on every production call:

• Real-time failure monitoring. Every production AI interaction, monitored continuously at scale, the same way Operata has always covered live calls. Early signals at the first sign of failure to proactively catch a fault before it becomes a complaint, or an urgent escalation.

• API and tool latency and failure tracking. Pinpoints the internal or third-party service returning slow or flawed tool calls. Target the service that is the bottleneck across many calls and reduce MTTR. 

• Handoff measurement. Every AI-to-human handoff, measured at the moment of transfer: audio quality, whether context passed, duration, and drop events.  A technical failure hiding behind a resolved status becomes something you can see and attribute. 

• Transfer analysis. Separates designed escalations from misroutes, and shows transfer rate against the intent design. A high transfer rate is not a problem on its own, but a misroute is. 
  Spend less time chasing escalations that work as designed, and work on the ones that don’t.
  

With CX Observability for AI Agents the next time a call fails, you won't hear it from a customer complaint. You'll already have the call, the failed span, and the evidence in front of you.

Prove what is performing

You change the AI to improve CX, then you have to prove it worked. Today, that proof might be a single score in the AI-native tooling. Operata gives you the evidence behind the score, with every contributing metric.

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• Fulfillment and resolution verification. All of the underlying signals as well as the vendor's self-reported figure.  One platform that captures the disconnect reason, intent state, NLU confidence, queue events, agent interaction, and hold time. All of the evidence captured in context for verified reports, not vendors self-scored. 

• AI Cohort optimization. Pick a model or cohort, make a change, then prove it worked with data you can trust. Compare the calls before and after on what matters: resolution, escalation, and repeat calls. You'll see the difference the change makes in production, and iterate with evidence.

• Repeat and failed AI detection. Surfaces repeat and failed AI interactions and what they have in common. A single failed call looks like noise; the pattern across them is the fix. Find the technical signature shared across repeat failures, and distinguish between design flaws that drive repeat contact rather than production issues.

• Verified handoff. When the AI can’t resolve something and passes the customer to a person, that single moment can make or break the interaction. That moment is visible in a complete view of what happened before, during and after in one platform, on one timeline.

Resolution numbers you can stand behind, with the timestamped evidence behind every metric. 

One standard for every agent, on any platform

CX Observability is the agnostic view across the delivery chain, the entire stack visible in one platform. Measure any voice AI and CCaaS mix against the same bar, with one set of metrics.

Operata's verified integrations ship as out-of-the-box SDK collectors, with architectural support for 50+ voice AI, voice CX, and CCaaS platforms.

Need one verified? Our Applied Engineering team provides full integration support as part of any implementation.

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Journeys

Flows

AIAI Interactions

Agents

Overview

Headsets

Network Quality

Browser

Missed Calls

Agents Overview

Add Filter

Call Volume & Quality Call volume, MOS average, and 95th percentile MOS over time

Avg MOS

95th MOS

Built for governance

You answer for every decision your AI makes, but you can't govern what you can't see.

Your AI talks to customers at scale and represents you in every interaction. When one goes wrong, the platform tells you what the AI did. It can't tell you what the customer experienced, or where a human should have stepped in.

Operata captures the detail you need behind the decisions you can’t see. What the AI did, what the customer experienced, and where there should be a handoff. When you're asked to account for an AI decision, you have the record and an auditable interaction trail.

"Unlike traditional software, AI’s decision making is often hidden, making it hard to explain or trust, yet errors can cause substantial financial loss, reputational damage and regulatory scrutiny.” ‍– according to Gartner analyst Padraig Byrne, VP Analyst at Gartner

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Connected to your AI assistant with Operata's MCP Server

You ask your AI. Get answers from your CX Observability data.

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The Operata MCP Server connects the AI assistants your team already uses to your CX Observability data. Claude, ChatGPT, Microsoft Copilot, Cursor, or your own agents, through one open standard connection.

With CX Observability now extended to the AI layer, the rich data you can connect with your enterprise systems opens up a new world of critical analysis. 

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Intent-to-queue misroute diagnosis: "Which intents are escalating to the wrong queue, and is it the bot's classification or the routing rule?" Separate legitimate escalation from misroute and the routing chain behind each.

Handoff quality: "Show me journeys this week where the AI handed off to a human and the customer had to repeat themselves, or waited longest in the transition." The stitched journey makes the handoff a measurable segment instead of a gap between two systems.

Agent change validation: "Compare fulfillment, escalation, and resolution for version X against Y, same intents, same period length." Test, refine and iterate on your model performance.

Silent failure detection: "Find AI interactions that ended without resolution and without a complaint." The failures nobody reported, surfaced without waiting for the CSAT survey to catch them.

Every question runs against the same timeline Operata builds across every AI turn, handoff, and human agent. Call quality, queue performance, IVR behavior, agent experience, the full journey trace.

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Available now

Operata has always sat outside the vendor stack, measuring what fails silently in the gaps in between. The foundation hasn't changed.

CX Observability for AI Agents expands Operata’s visibility across supported platforms. Verified status for individual platforms follows Operata's standard verification process and can be requested by customers or partners.

Book a demo.

About Operata

Operata is the world's first CX Observability platform, built for the AI-enabled contact centre. In a fractured landscape of CCaaS platforms, Voice AI agents, and BPOs, Operata gives IT and operations teams real-time visibility across the entire customer experience, connecting technical and operational data in a single view. Founded in Denver, Colorado, and Melbourne, Australia, and trusted by Global 1000 brands including 3M, AMP, TTEC and Adobe.

This is Overture, Operata's proof layer for what comes next. Overture is the opening movement of an opera, the piece that introduces the themes of everything that follows. Fitting for act two, the agentic AI era.