Sold by: Observe.AI
Deployed on AWS
Observe.AI Screen Recording provides contact center supervisors with full visibility into all customer conversations, captured via the agents desktop behaviors and activities. Screen Recording completes the picture by providing comprehensive understanding into the true challenges faced by agents, unlocking their performance through targeted coaching and performance feedback.
4.6
Overview
Contact center QA is often limited to call audio and transcript text when evaluating customer interactions. Without visibility into an agents on-screen activity, supervisors and managers are lacking scope of what happened during extended moments of silence, whether the agents followed standard protocols, or captured the right information during and after the call. This is especially the case when agents are working in hybrid or remote office environments, and walking the floor or seeing calls as they happen is not always an option.
Observe.AI Screen Recording gives supervisors and managers the comprehensive visibility they need into agent activities and behaviors with on-screen recordings for the agent desktop. Get the full picture to QA any conversation by pinpointing the exact moment in question on-screen with synchronized audio and transcripts, and identify new opportunities to improve agent performance, workflow efficiencies, and verify compliance through more targeted coaching and greater accountability.
Our Screen Recording app is a powerful yet lightweight solution that is built on AWS. With lean system requirements, easy installation and centralized administration, it is designed to be deployed efficiently across thousands of agents at scale without requiring additional engineering efforts or IT support. The app works seamlessly with your core tech stack, and captures on-screen activities for users of Windows OS, MacOS, or Chrome OS desktop or browser apps.
With Observe.AI, your agents remain focused on serving the customer, and not distracted with manipulating screen controls. With SSO and persistent login, automated redaction for PCI/PII data, and dual-screen monitoring, get continuous on-screen monitoring and video footage so that there is comprehensive transparency and accountability for upholding compliance as well as identifying more areas for performance improvement.
Observe.AIs Screen Recording app is a robust, secure, and efficient solution, and is designed to seamlessly integrate with your contact center operations through our Post-Interaction AI suite. Contact us today.
Highlights
- Light-weight, centralized administration: Efficiently deploy across thousands of agents with centralized installation, easy management, and auto-updates. No additional engineering effort is required to maintain this solution beyond the initial rollout and configuration, empowering IT administrators to stay focused on other pressing tasks at hand.
- Zero hassle for agents: From the moment agents log in, the app runs in the background to capture all screen recordings with no need to initiate or terminate the recordings on the agents part. They can remain logged in for extended periods with SSO and persistent login. Relevant screen recordings are attached to the interaction during the post-processing phase, making for a no-hassle experience for the agent.
- Automated redaction: Configure automated redaction rules per compliance requirements, so sensitive PCI and PII information can be fully masked on agent browser and desktop apps. Safeguard customer data for all on-screen recordings and ensure compliance without any manual intervention from the agent.
Details
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Delivery method
Deployed on AWS
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AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Number of Agents | Pricing is based on the number of Agents per month. | $144.00 |
Vendor refund policy
After the end date of the subscription, the customer may cancel or amend the terms. During the term of an active subscription, no refunds will be provided.
Custom pricing options
Request a private offer to receive a custom quote.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
A ticket with the Technical Support team can be created via the Help Center: Visit the Observe.AI Help Center (https://help.observe.ai/hc/en-us ) to create a support ticket.
Once a ticket is created, the respective user can track updates directly via the Help Center.
Our team is available globally, spread across NA, EU, and APAC via different channels i.e. email, phone, and help center. Delivering well-defined operational processes and SLA, and a Customer Satisfaction score of > 94%.
Observe.AI offers comprehensive implementation support to ensure clients maximize the platform benefits beyond onboarding. This entails a dedicated project-team that assists with setup, training, and addressing technical issues, facilitating a smooth transition and ongoing operation. Clients also have access to tutorials, webinars, and documentation to optimize platform utilization. A dedicated Customer Success Manager and Technical Success Manager are assigned to provide assistance centered on technical help - including integrated channel updates and changes, change management, and ROI opportunities.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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VoiceAI agents automates your most complex customer conversations in an authentic and personalized way. Built using existing customer interactions, VoiceAI agents replicate your best human agents to think, act, and deliver action for customers at scale with no hold times. Create new agents in days and continually refine them with Observe.AIs industry-leading conversational intelligence platform that automatically QAs every customer interaction.
Customer reviews
Tim W.
Knowledgeable Account Managers and a Flexible Platform Built for Any Business
Reviewed on Feb 23, 2026
Review provided by G2
What do you like best about the product?
The account managers are extremely knowledgeable about the product. The platform is a tool that allows any given business to build it out for their specific needs.
What do you dislike about the product?
You will likely need a dedicated staff member to maintain it and educate other stakeholders on how to use it.
What problems is the product solving and how is that benefiting you?
Lowering AHT, improving trainings for agents due to data being visible now. Training opportunities with proof attached thanks to the Coaching section of the product.
Elizabeth H.
Turns Customer Conversations into Actionable Coaching Insights
Reviewed on Jan 27, 2026
Review provided by G2
What do you like best about the product?
Observe.AI stands out because it treats customer conversations as a real data asset—turning insights into coaching and performance improvements teams can act on right away, not just dashboards to look at.
What do you dislike about the product?
Some features can feel complex at first, and it takes time to fully learn and configure the platform to get the most value out of it.
What problems is the product solving and how is that benefiting you?
Observe.AI solves the problem of understanding and improving customer conversations at scale. Instead of relying on manual QA or gut feel, it surfaces real insights from every interaction and connects them directly to coaching and quality improvements—helping teams move faster, stay consistent, and improve customer experience without adding manual work.
Ifeoma E.
Powerful Analytics and Global Reach, But Complex Setup Requires Careful Management
Reviewed on Oct 20, 2025
Review provided by G2
What do you like best about the product?
Observe.AI has an impressive customer interactions analytical capabilities, which gives us 100% visibility on efficiency and reliability.
The program has modern capabilities that includes AI Copilot which provides real time agent guides and conversation intelligence for brilliant sentiment analysis
Observe.AI has solid compliance and integration emphasis and this creates solid scalability
The program has a powerful global footprint that includes any country in the world
Observe.AI has a diverse range in supporting multiple industries including technology, healthcare, insurance, and others
The program has modern capabilities that includes AI Copilot which provides real time agent guides and conversation intelligence for brilliant sentiment analysis
Observe.AI has solid compliance and integration emphasis and this creates solid scalability
The program has a powerful global footprint that includes any country in the world
Observe.AI has a diverse range in supporting multiple industries including technology, healthcare, insurance, and others
What do you dislike about the product?
Observe.AI is a powerful tool, but high complexity is experienced and calls for high precision in management
The program has hidden dependencies or prerequisites and this makes it hard to understand it actual value and capabilities
The program has hidden dependencies or prerequisites and this makes it hard to understand it actual value and capabilities
What problems is the product solving and how is that benefiting you?
Observe.AI gives a precise visibility on how we engage and value our customers and it also transcribes all chats and calls for simplicity
The evaluation of our interactions is made efficient and professional through a consistent and automated approach
We get real time performance metrics and any compliance risks and this includes real time calls analysis and monitoring all compliance standards
Observe.AI ensures we improve our calls and the way we handle our interactions through the solid coaching process from the app
Our sales aggressively improved where we ensures our insights are positive and effective
The evaluation of our interactions is made efficient and professional through a consistent and automated approach
We get real time performance metrics and any compliance risks and this includes real time calls analysis and monitoring all compliance standards
Observe.AI ensures we improve our calls and the way we handle our interactions through the solid coaching process from the app
Our sales aggressively improved where we ensures our insights are positive and effective
James G.
Lying, deception, and a crappy product
Reviewed on Aug 09, 2025
Review provided by G2
What do you like best about the product?
It's a good name, good marketing, and effective salespeople.
What do you dislike about the product?
Three years since signing up for Observe AI all I have to show for it is a lower bank balance, a loss of trust with our revenue operations and customer support operations team about, fewer hairs on my head and more of my nails bitten.
The initial implementation was a ton of work over a three month period, which they happily charged us for, and then we never ended up seeing any value from the product at all. We all stopped using it pretty quickly after that. Their keyword matching is broken, it regularly would not ingest all calls, and it would regularly deliver wrong answers. It regularly underperformed compared to a human QA team paired with a small in-house script written by engineering plus or minus some UI functionality. The interface is slow and clunky and completely unlike any of their shiny marketing. I thought that would be the end of it but since then they hired lawyers at Observe AI to begin calling our frontline support people throughout the day harassing them because I am refusing to pay for another year of service for a product that absolutely does not work as advertised on a contract that expired more than a year ago and for service that wasn't rendered as described. They are scaring my workers and they are unwilling to enter a dialogue with me about the ethics of this.
I am in the process of doing a full retroactive with my team about how this went so wrong, and how I made such a mistake in procuring this vendor, and I will be updating this review with much more specific product detail about how they have fallen short compared to what they promised. As a former engineer myself I am completely embarrassed to have made a mistake like this and I would strongly caution any reader to think twice and consider many of the other available options. Please check back here on this review as I continue to update it with more detail.
Update: August 29th (here is what I received from my implementation team)
The quality of the product shoddy if not misleading:
Implementation took almost 6 months more than originally estimated because they couldn’t figure things out. We had to escalate and have the implementation team (initial one didn’t knew how to connect to our zendesk account and pull the recordings with the API keys and documentation in front of them)Their “AI” product is a scam. It’s nothing more than a voice to text service (transcription) and a glorified CTRL+F. If they couldn’t find the “moment” (moment = phrase for the “AI”) in the transcript, there was no contextual knowledge of the scanned text. So when “training” their AI, we had to account for all the variations of a specific word or phrase.
The initial implementation was a ton of work over a three month period, which they happily charged us for, and then we never ended up seeing any value from the product at all. We all stopped using it pretty quickly after that. Their keyword matching is broken, it regularly would not ingest all calls, and it would regularly deliver wrong answers. It regularly underperformed compared to a human QA team paired with a small in-house script written by engineering plus or minus some UI functionality. The interface is slow and clunky and completely unlike any of their shiny marketing. I thought that would be the end of it but since then they hired lawyers at Observe AI to begin calling our frontline support people throughout the day harassing them because I am refusing to pay for another year of service for a product that absolutely does not work as advertised on a contract that expired more than a year ago and for service that wasn't rendered as described. They are scaring my workers and they are unwilling to enter a dialogue with me about the ethics of this.
I am in the process of doing a full retroactive with my team about how this went so wrong, and how I made such a mistake in procuring this vendor, and I will be updating this review with much more specific product detail about how they have fallen short compared to what they promised. As a former engineer myself I am completely embarrassed to have made a mistake like this and I would strongly caution any reader to think twice and consider many of the other available options. Please check back here on this review as I continue to update it with more detail.
Update: August 29th (here is what I received from my implementation team)
The quality of the product shoddy if not misleading:
Implementation took almost 6 months more than originally estimated because they couldn’t figure things out. We had to escalate and have the implementation team (initial one didn’t knew how to connect to our zendesk account and pull the recordings with the API keys and documentation in front of them)Their “AI” product is a scam. It’s nothing more than a voice to text service (transcription) and a glorified CTRL+F. If they couldn’t find the “moment” (moment = phrase for the “AI”) in the transcript, there was no contextual knowledge of the scanned text. So when “training” their AI, we had to account for all the variations of a specific word or phrase.
What problems is the product solving and how is that benefiting you?
It has only created problems and headache. We have seen no benefits.
Sammy P.
Observe.AI has been a welcome addition to my business
Reviewed on Jul 23, 2025
Review provided by G2
What do you like best about the product?
As a QA leader in healthcare, where empathy and compliance are both critical, Observe.AI has helped us completely rethink how we define and measure quality. In the past, quality was often limited to manual audits focused on script adherence and regulatory checkboxes. But with Observe.AI, we’ve been able to look deeper, analyzing every interaction for both clinical accuracy and emotional intelligence.
This is especially important in healthcare, where patients are often in vulnerable situations. Observe.AI allows us to ensure that agents aren't just meeting HIPAA and regulatory standards, but also delivering compassionate, patient-centered communication, and at scale. We're no longer relying on limited call samples; we're capturing insights across 100% of interactions, which gives us a much clearer picture of quality across the board.
It’s helped us shift from reactive quality assurance to proactive performance coaching — guiding agents with real-time feedback and trend data. And because healthcare is such a trust-based industry, this ability to balance empathy and compliance in every conversation is truly invaluable.
This is especially important in healthcare, where patients are often in vulnerable situations. Observe.AI allows us to ensure that agents aren't just meeting HIPAA and regulatory standards, but also delivering compassionate, patient-centered communication, and at scale. We're no longer relying on limited call samples; we're capturing insights across 100% of interactions, which gives us a much clearer picture of quality across the board.
It’s helped us shift from reactive quality assurance to proactive performance coaching — guiding agents with real-time feedback and trend data. And because healthcare is such a trust-based industry, this ability to balance empathy and compliance in every conversation is truly invaluable.
What do you dislike about the product?
One area we’ve experienced some challenges with is the accuracy of moment detection, particularly when it comes to profanity. We've seen instances where the system flags false positives, often due to words that sound similar to profanity but are actually appropriate in context. This creates some noise in our QA process and requires additional manual review to validate.
Additionally, while the platform does a strong job of identifying QA themes, there’s an opportunity to go further by pairing those insights with more actionable recommendations. Currently, once a theme is surfaced, there ’s limited support in terms of built-in suggestions or coaching strategies that QA or supervisors can use to drive improvement. Having more guidance or automated next steps would help bridge the gap between insight and execution.
Additionally, while the platform does a strong job of identifying QA themes, there’s an opportunity to go further by pairing those insights with more actionable recommendations. Currently, once a theme is surfaced, there ’s limited support in terms of built-in suggestions or coaching strategies that QA or supervisors can use to drive improvement. Having more guidance or automated next steps would help bridge the gap between insight and execution.
What problems is the product solving and how is that benefiting you?
We recognized early on that successful navigation requires more than just information sharing, it’s about building trust and removing friction. So, we focused on tracking and reinforcing behaviors that support that goal. For example, we were able to train agents to use motivational interviewing techniques and empathetic listening, which significantly improved our conversion rates for appointment scheduling. We used call analytics and post-call outcomes to correlate specific behaviors like asking open-ended questions, confirming understanding, or expressing empathy, with actions taken by the member. This allowed us to coach agents in real-time.