# Best Contact Center AI Observability Software *By [Jeffrey Lin](https://research.g2.com/insights/author/jeffrey-lin)* Contact center AI observability software provides purpose-built tools to monitor, analyze, and assure the performance of AI agents, such as voicebots and chatbots, in customer service operations. These platforms give AI operations and customer experience (CX) leaders the visibility to manage the "black box" of conversational and generative AI, enabling them to proactively test AI behavior, diagnose failures, and validate that every automated interaction is accurate and safe. Organizations leverage this software to de-risk AI deployments, improve self-service containment rates, reduce AI-driven errors, and build essential trust in their customer service automation. This category is essential for managing modern contact centers powered by [customer service automation software](https://www.g2.com/categories/customer-service-automation) or [AI customer support agents](https://www.g2.com/categories/ai-customer-support-agents), where traditional monitoring falls short. Contact center AI observability is distinct from [contact center quality assurance software](https://www.g2.com/categories/contact-center-quality-assurance), which focuses on human agents, not AI behavior. It also differs from [application performance monitoring software](https://www.g2.com/categories/application-performance-monitoring-apm) and [observability software](https://www.g2.com/categories/observability-software) platforms that monitor infrastructure health rather than conversational AI quality. Finally, while [bot platforms](https://www.g2.com/categories/ai-agent-builders) are used to build AI agents, AI observability is used to assure their performance and safety once they are live and interacting with customers. To qualify for inclusion in the Contact Center AI Observability category, a product must: - Enable automated, at-scale testing of customer-facing large language models (LLM) by simulating realistic user interactions, including edge cases and stressful conditions - Capture and provide turn-by-turn diagnostics for all live conversations between the AI and customers - Automate scoring or flagging of AI performance based on specific metrics like intent accuracy, factual hallucinations, and adherence to compliance or safety protocols - Diagnose the source of an interaction failure, distinguishing between a model error, a data integration issue, or a technical problem - Report on key performance indicators (KPI) specific to automation, such as containment rates, task completion success, and escalation trends, not just general call metrics - Have the capability to assess the quality and performance of the communication infrastructure (e.g., telephony, network carriers) that supports the contact center AI ## How Many Contact Center AI Observability Software Products Does G2 Track? **Total Products under this Category:** 9 ### Category Stats (May 2026) - **Average Rating**: 4.73/5 (↑0.01 vs Apr 2026) - **New Reviews This Quarter**: 1 - **Buyer Segments**: Mid-Market 100% - **Top Trending Product**: Cyara Platform (+0.007) *Last updated: May 18, 2026* ## How Does G2 Rank Contact Center AI Observability Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 200+ Authentic Reviews - 9+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Which Contact Center AI Observability Software Is Best for Your Use Case? - **Best Free Software:** [Gridspace Contact Center AI](https://www.g2.com/products/gridspace-contact-center-ai/reviews) ## What Are the Top-Rated Contact Center AI Observability Software Products in 2026? ### 1. [Cyara Platform](https://www.g2.com/products/cyara-platform/reviews) Cyara is a customer experience (CX) assurance platform designed to help organizations optimize their customer interactions across every communication channel. As a leader in AI-powered CX assurance, Cyara provides a unified platform that enables continuous testing and monitoring of voice, digital, messaging, and conversational AI channels. This comprehensive approach allows businesses to ensure that every touchpoint in the customer journey functions flawlessly, ultimately enhancing the overall customer experience. Targeted primarily at enterprises and organizations that prioritize customer satisfaction, Cyara serves a diverse range of industries, including telecommunications, finance, retail, and healthcare. The platform is particularly beneficial for teams involved in software development, quality assurance, and customer service, as it supports the entire software development lifecycle. By focusing on the customer’s perspective, Cyara helps identify and resolve issues that may impact the customer experience, ensuring that businesses can deliver secure and high-quality interactions at scale. One of the key features of the Cyara platform is its ability to handle a comprehensive range of CX development and assurance needs. From the initial design phase to functional and regression testing, user acceptance testing, load testing, and production monitoring, Cyara provides a collaborative environment where team members can share and reuse scripts and data. This streamlined approach not only enhances efficiency but also fosters teamwork, enabling organizations to work more effectively toward common goals. Cyara's automation capabilities significantly enhance productivity by allowing users to automatically discover existing customer experiences and generate test scripts with minimal manual intervention. The platform employs Robotic Process Automation (RPA) to simulate real-world customer interactions, generating thousands of automated tests that replicate actual customer contact. This level of automation not only saves time but also ensures thorough testing across a wide range of digital and voice channels, including IVR, chat, and conversational AI. Moreover, Cyara is designed to support Agile and DevOps practices, enabling organizations to accelerate development cycles while improving quality. By facilitating the generation of test cases from the design phase, the platform encourages a shift-left approach, allowing teams to identify potential issues earlier in the development process. With visualization tools and capabilities tailored for different teams, Cyara enhances collaboration and ensures that all stakeholders are aligned in their efforts to deliver an exceptional customer experience. **Average Rating:** 4.7/5.0 **Total Reviews:** 39 **Who Is the Company Behind Cyara Platform?** - **Seller:** [Cyara](https://www.g2.com/sellers/cyara) - **Company Website:** https://cyara.com - **Year Founded:** 2006 - **HQ Location:** Redwood City, California - **Twitter:** @cyara (4 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/cyara/ (373 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Insurance, Financial Services - **Company Size:** 64% Enterprise, 24% Small-Business #### What Are Cyara Platform's Pros and Cons? **Pros:** - Automation (8 reviews) - Customer Support (8 reviews) - Ease of Use (6 reviews) - Helpful (6 reviews) - Time-saving (5 reviews) **Cons:** - Learning Curve (3 reviews) - Complexity (2 reviews) - Poor UI (2 reviews) - Slow Loading (2 reviews) - Slow Performance (2 reviews) ### 2. [Bespoken.ai](https://www.g2.com/products/bespoken-ai/reviews) Bespoken.ai offers a comprehensive Model Testing solution designed to validate and ensure the accuracy, functionality, and safety of Automatic Speech Recognition (ASR), Large Language Models (LLMs), and Natural Language Understanding (NLU) models. This service assists companies in integrating LLM-based chat and voice bots, providing confidence that their applications deliver correct information and protect users from misleading or harmful responses. Key Features and Functionality: - Automated Test Case Generation: Bespoken.ai automatically generates test cases to streamline the validation process. - Four-Stage Validation Pipeline: 1. Entity-Based Validation: Ensures the model accurately identifies and responds to entities like people, places, and objects. 2. Rules-Based Validation: Verifies the model adheres to predefined rules and guidelines. 3. LLM-Based Validation: Utilizes large language models to test and identify potential issues within the application. 4. Manual Validation: Involves human reviewers to confirm all tests are passed and to detect any additional problems. - Continuous Monitoring: Employs LLMs to repeatedly query and verify applications during development and post-deployment phases. - Detection of Hallucinations: Identifies and alerts users to incorrect or misleading responses generated by the model. Primary Value and Problem Solved: Bespoken.ai's Model Testing solution addresses the critical need for reliable and safe LLM implementations in chat and voice bots. By providing a thorough validation pipeline and continuous monitoring, it ensures that applications function correctly, deliver accurate information, and safeguard users from potential risks associated with incorrect or harmful responses. This comprehensive approach allows companies to confidently deploy LLM-based solutions, enhancing customer trust and satisfaction. **Who Is the Company Behind Bespoken.ai?** - **Seller:** [Bespoken](https://www.g2.com/sellers/bespoken) - **Year Founded:** 2016 - **HQ Location:** Orlando, US - **LinkedIn® Page:** https://www.linkedin.com/company/bespokenai/ (21 employees on LinkedIn®) ### 3. [Evalgent](https://www.g2.com/products/evalgent/reviews) Evalgent is an AI-powered voice agent evaluation platform designed to test, monitor, and improve conversational AI systems before and after deployment. Key features: - Scenario-based testing to validate end-to-end workflows - User behaviour-based stress testing (interruptions, accents, speech pace, etc.) - Evidence-based evaluations with actionable recommendations - Custom metrics to benchmark agent performance - Human-in-the-loop review for nuanced quality validation How it works? 1. Define: Create real-world scenarios and define clear success criteria 2. Run: Test them across diverse and unpredictable user behaviors 3. Measure: Understand successes, failures, and performance boundaries 4. Act: Identify what to fix, optimize, or scale with confidence Evalgent is for AI teams, product teams, and enterprises building voice agents for customer support, sales, and operations. Don’t ship agents that only work in demos. Test real-world reliability with Evalgent. **Who Is the Company Behind Evalgent?** - **Seller:** [Evalgent](https://www.g2.com/sellers/evalgent) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/evalgent/ (1 employees on LinkedIn®) ### 4. [Gridspace Contact Center AI](https://www.g2.com/products/gridspace-contact-center-ai/reviews) Gridspace makes conversational care readily available by providing superior machine talent to patients, customers, and businesses. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **Who Is the Company Behind Gridspace Contact Center AI?** - **Seller:** [Gridspace](https://www.g2.com/sellers/gridspace) - **Year Founded:** 2012 - **HQ Location:** Los Angeles, US - **LinkedIn® Page:** https://www.linkedin.com/company/gridspace-inc (49 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business, 100% Enterprise ### 5. [Observe.AI](https://www.g2.com/products/observe-ai/reviews) Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations. Each AI agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work. Built on a CX-native foundation, Observe.AI works with global brands, like DoorDash, Transcarent, Affordable Care, Signify Health, and Verida, to improve customer satisfaction, boost productivity, and deliver consistent, scalable performance across every customer interaction. **Average Rating:** 4.6/5.0 **Total Reviews:** 217 **Who Is the Company Behind Observe.AI?** - **Seller:** [Observe.AI](https://www.g2.com/sellers/observe-ai) - **Company Website:** https://observe.ai - **Year Founded:** 2017 - **HQ Location:** San Francisco, California - **Twitter:** @observeAI (1,513 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/18090845/ (403 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Assistant Quality Assurance, Quality Analyst - **Top Industries:** Outsourcing/Offshoring, Consumer Services - **Company Size:** 66% Mid-Market, 22% Small-Business #### What Are Observe.AI's Pros and Cons? **Pros:** - Ease of Use (26 reviews) - Efficiency (20 reviews) - Helpful (19 reviews) - Artificial Intelligence (16 reviews) - Coaching (16 reviews) **Cons:** - Accuracy Issues (16 reviews) - Inaccuracy (15 reviews) - Inaccurate Data Analysis (12 reviews) - Call Issues (7 reviews) - Missing Features (7 reviews) ### 6. [PumpCX](https://www.g2.com/products/pumpcx/reviews) PumpCX was founded in 2013 to help organisations with automated, continuous testing and quality assurance systems for contact centres. Our origin moment was triggered watching a valuable customer struggle to execute their transformation project. They needed to perform regression testing, load testing, and operate a large dynamic platform that is in a state of agile flux in a safe and secure way, their existing toolset did not enable this. **Who Is the Company Behind PumpCX?** - **Seller:** [PumpCX](https://www.g2.com/sellers/pumpcx) - **Year Founded:** 2013 - **HQ Location:** Stanmore, AU - **LinkedIn® Page:** https://www.linkedin.com/company/pump-cx (6 employees on LinkedIn®) ### 7. [Sherlock Calls](https://www.g2.com/products/sherlock-calls/reviews) Sherlock Calls is a voice AI observability platform that helps engineering and operations teams diagnose call failures, correlate incidents across multiple telephony and AI speech providers, and conduct root-cause investigations directly from Slack. In production voice AI systems, the evidence behind a failed call is often distributed across multiple independent vendors. Telephony logs may exist in platforms such as Twilio or Genesys, speech synthesis records may reside in tools like ElevenLabs or Vapi, and additional information may appear in webhook payloads or CRM interaction histories. Each provider uses different identifiers, timestamps, and definitions of completion. A call that one provider records as successfully completed may have delivered silence to the caller because upstream latency prevented audio from being transmitted in time. In many cases, no single system records this as a failure. As a result, diagnosing incidents requires engineers to manually correlate logs across several dashboards, a process that can take hours per incident. Sherlock Calls addresses this problem by connecting to a team’s existing voice and communication infrastructure using OAuth authentication. The platform aggregates and correlates call-level data from multiple providers without requiring SDK installation, code changes, or additional agents. When a failure pattern is detected, or when a team member submits a natural-language query in Slack, the system generates a structured case file containing a unified cross-provider timeline, a root-cause hypothesis supported by layered evidence, and prioritized triage steps. The resulting report is delivered directly to the Slack thread associated with the alert or investigation. Key capabilities include: \* Cross-provider correlation across telephony and voice AI systems including Twilio, ElevenLabs, Vapi, Retell AI, Genesys, Amazon Connect, Aircall, and HubSpot, with additional CRM integrations such as Salesforce and Dynamics 365 under development \* Natural-language investigation queries in Slack that allow engineers to request incident analysis and receive structured case files within seconds \* Automated anomaly detection that alerts teams to spikes in call failures or degradations in speech synthesis latency \* Scheduled operational digests that summarize call volumes, failure rates, and usage trends on a daily or weekly basis \* Per-call cost attribution across providers, breaking down expenses by telephony usage, speech synthesis, and large language model inference Sherlock Calls is designed for voice AI engineering teams, customer experience operations groups, and product teams responsible for AI-powered phone agents, IVR systems, and outbound voice campaigns. It is particularly relevant for organizations that operate multiple voice AI providers simultaneously and require a single investigation surface instead of navigating several independent dashboards. A free tier provides 100 investigation credits per Slack workspace. Paid plans start at $50 per month. **Who Is the Company Behind Sherlock Calls?** - **Seller:** [UseSherlock.ai](https://www.g2.com/sellers/usesherlock-ai) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/sherlock-calls/ (1 employees on LinkedIn®) ### 8. [TekVision](https://www.g2.com/products/tekvision-tekvision/reviews) TekVision's Automated Web Chat Testing solution is designed to optimize automated chat systems, ensuring seamless digital customer interactions without the need for live agent support. By thoroughly emulating live customer interactions, this solution identifies and addresses shortcomings in chatbot programming, enhancing both customer satisfaction and organizational efficiency. Key Features and Functionality: - Comprehensive Testing: Accurately emulates live customer interactions to identify issues such as invalid prompts, inaccurate data returns, poor intent prediction, and incorrect agent routing. - Intuitive User Interface (UI): Facilitates easy creation of test cases, reducing the time and guesswork associated with manual testing methods. - Pinpoint Accuracy: Determines the exact location, timing, and nature of issues within the conversation flows of NLU-based web chat systems. - Limitless Scalability: Allows testing and verification of every possible interaction scenario, regardless of the size of the knowledge base. - Actionable Insights: Captures precise data to correct issues or adjust training promptly, fostering continuous customer experience improvement. Primary Value and Problem Solved: The Automated Web Chat Testing solution empowers organizations to deliver flawless, 24/7 customer support through automated website chatbot services. By proactively identifying and rectifying issues, it ensures that customers receive accurate and timely responses, reducing frustration and enhancing trust in the brand. This leads to faster service for customers, reduced workloads for live agents, and improved operating costs, ultimately resulting in increased positive self-service outcomes and a superior overall customer experience. **Who Is the Company Behind TekVision?** - **Seller:** [Tekvision](https://www.g2.com/sellers/tekvision) - **Year Founded:** 1995 - **HQ Location:** Markham, CA - **LinkedIn® Page:** https://www.linkedin.com/company/tekvision (12 employees on LinkedIn®) ### 9. [Wayfound](https://www.g2.com/products/wayfound/reviews) Wayfound is the Agentic Success Platform. We go beyond basic dashboards, offering comprehensive AI agent supervision and intuitive supervision tools, covering any and all AI agents in your organization. Gain immediate access to agent behavior scorecards, detailed transcripts, and real-time insights into what your agents are doing — and why — so you can optimize their performance to meet your goals. **Who Is the Company Behind Wayfound?** - **Seller:** [Wayfound](https://www.g2.com/sellers/wayfound) - **Year Founded:** 2023 - **HQ Location:** SAN FRANCISCO, US - **LinkedIn® Page:** https://www.linkedin.com/company/wayfound-ai/ (9 employees on LinkedIn®) ## What Is Contact Center AI Observability Software? [Call & Contact Center Software](https://www.g2.com/categories/call-contact-center)