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Observe.AI - Customer Interaction Intelligence
Observe.AI combines Interaction Intelligence and Operations Agents to analyze every customer interaction, automate quality and performance management, and uncover insights that improve customer experience and contact center operations. Teams can identify trends, evaluate performance, coach more effectively, and turn conversation data into action at scale.
Reviews (297)
Sanjay A.
Easy Call Monitoring, Could Improve Onboarding
Reviewed on Oct 20, 2026
Review provided by G2
What do you like best about the product?
Observe.AI makes call reviews and quality checks easier.. automated transcription and insights seem really useful and can save lot of manual work.
What do you dislike about the product?
initial setup can be a bit confusing, and it takes some time to get familiar with all the features. reporting could little more flexible too.
What problems is the product solving and how is that benefiting you?
Earlier we had to spend lot of time reviewing calls manually. it's easier to track call quality and spot issues using AI insights. It helps save time and makes the overall review process much smoother.
KULDEEP G.
AI Agent That Elevates Customer Support
Reviewed on Oct 20, 2026
Review provided by G2
What do you like best about the product?
It's AI agent for customer support...
What do you dislike about the product?
inaccuracies in automated call scoring, transcription struggles
What problems is the product solving and how is that benefiting you?
Resolves customer requests across voice and chat automatically
Shilpa C.
Observe.AI Brings Clarity to Customer Support Conversations
Reviewed on Oct 20, 2026
Review provided by G2
What do you like best about the product?
What I like about Observe.AI is that it helps teams understand what’s really happening in customer support conversations, rather than relying only on call volumes or basic performance reports. In organisations where service desks or contact centres handle a high volume of enquiries, it can be hard to spot repeated issues when everything has to be reviewed manually.
From an IT operations management perspective, I can see how it’s relevant for teams that provide customer facing technical support or work closely with a contact centre. Conversation insights can surface recurring complaints and communication gaps that may need deeper investigation. Overall, it gives managers an additional source of information to use when assessing service quality.
From an IT operations management perspective, I can see how it’s relevant for teams that provide customer facing technical support or work closely with a contact centre. Conversation insights can surface recurring complaints and communication gaps that may need deeper investigation. Overall, it gives managers an additional source of information to use when assessing service quality.
What do you dislike about the product?
The platform is primarily geared toward contact centre operations, so it isn’t a substitute for tools used to monitor servers, manage incidents, or track IT service requests. How much value it delivers really depends on the type of support environment the organisation runs. I ’d also want the reporting to slot into existing operational reviews and routines, rather than creating extra work for the team.
What problems is the product solving and how is that benefiting you?
When a support team keeps receiving the same kinds of complaints, it can be hard to spot the underlying pattern if you only look at cases one by one. Observe.AI helps analyse conversations and surface recurring issues that deserve closer attention.
This can be especially useful for customer-facing support teams, where service quality and communication are part of the operational targets. That said, for core IT service management work—such as incident prioritisation, change management, and infrastructure monitoring—a dedicated ITSM or observability platform would be more directly relevant.
This can be especially useful for customer-facing support teams, where service quality and communication are part of the operational targets. That said, for core IT service management work—such as incident prioritisation, change management, and infrastructure monitoring—a dedicated ITSM or observability platform would be more directly relevant.
Don A.
Great Contact Centre Optimisation and AI, but Online Support Needs Improvement
Reviewed on Oct 20, 2026
Review provided by G2
What do you like best about the product?
Great optimisation for the contact centre. Decent user interface, clear and easy to use. Good price plan also. The AI works well at refining agent activity.
What do you dislike about the product?
Online support is somewhat lacking. Improvements can be made here.
What problems is the product solving and how is that benefiting you?
Sales and business development.
Pratik K.
Smooth Setup and Strong CX, but Costly with Transcription Gaps
Reviewed on Oct 20, 2026
Review provided by G2
What do you like best about the product?
I had a great experience with Observe.AI for our customers’ needs. The customer experience was handled well and given priority. I also appreciated the strategic partnership with AWS and Zoom. Setup was easy and smooth.
What do you dislike about the product?
I had some challenges with transcription and audio nuances. Observe.AI seemed to struggle with local and multiple accents, as well as technical inputs. The pricing also felt high for beginners, and it was the reason I didn’t go ahead after the trial period.
What problems is the product solving and how is that benefiting you?
I value Observe.AI’s strategic partnership with AWS and Zoom.
Jeffrey A.
Observe.AI Makes It Easy to Understand Call Effectiveness and Improve Fast
Reviewed on Oct 20, 2026
Review provided by G2
What do you like best about the product?
I really love this one, Observe.AI aids me in comprehending the effectiveness of my calls without manually reading each one. I can easily identify what I've done right, what I should do better, and what I should do differently the next time I have a customer conversation.
What do you dislike about the product?
The only thing I don't like about Observe.AI is that some of the suggestions and ideas need to be reviewed before I can take action on them. While it can be a great help to understand the conversations between customers, I find getting up to speed with the platform's interface can also take time, and locating specific call details or reports isn't always as easy as I'd like.
What problems is the product solving and how is that benefiting you?
The task of customer service review is difficult when there are so many customer calls to process, and AI can help address this challenge by determining where customer service can be improved. It will allow you to quickly identify common customer issues, assess the performance of your agents, and find coaching opportunities without having to listen to each one of your calls individually. This really saves time and allows me to see what is working and what areas I need to work on with my team.
Anonymous
AI-Powered Call Monitoring Streamlines QA, but Reports Need Flexibility
Reviewed on Oct 20, 2026
Review provided by G2
What do you like best about the product?
I like how Observe.AI simplifies calls and quality assurance through AI insights. I value automated call scoring, conversation analytics, and call transcription. It helps with the challenge of manually reviewing calls and improves the efficiency of call monitoring.
What do you dislike about the product?
I’d like the reports and dashboards to be more customizable and provided faster.
What problems is the product solving and how is that benefiting you?
Observe.AI helps me solve the challenge of manually reviewing calls.
Meera A.
Better Visibility Into Customer Conversations and Performance
Reviewed on Oct 19, 2026
Review provided by G2
What do you like best about the product?
Another part of my role is reviewing performance data for financial services to spot trends and understand what affects the customer experience and how the business operates. Observe.AI helps with this by making customer conversations much easier to review and evaluate, without having to manually sample calls end to end. I especially like the conversation analytics, automatic call summaries, and searchable interaction records when I’m digging into common customer complaints, quality assurance work, or broader call trends.
What do you dislike about the product?
I can narrow things down to a few products of interest using the reports and analytics views I’ve seen, but it would be helpful to have more ways to dig into how a specific business segment performed during my selected period. In some cases, I still have to export the data and break it down further in spreadsheets to get the precise view I need. I’d like more flexibility to build my own dashboards for finance reporting, and to connect conversation-level insights back to my existing financial analysis tools.
What problems is the product solving and how is that benefiting you?
Observe.AI speeds up the review of customer interactions and the aggregation of call-quality insights. This is useful for surfacing recurring customer service challenges, tracking operational metrics, and connecting customer insights to broader business trends. For my workflow, the biggest benefit is having more systematic information for reporting and decision-making, instead of relying on anecdotes or scrolling through sample calls. It also gives teams a more consistent foundation for conversations about performance gaps, prioritization, and identifying areas that need improvement. The time savings are definitely valuable, especially given reporting cadence and delivery frequency, though the overall impact will still depend on data quality and how well the platform is implemented.
Ashish G.
Helpful Call Insights and Quality Monitoring
Reviewed on Oct 17, 2026
Review provided by G2
What do you like best about the product?
I like very much how Observe.AI helps to us streamlined the call monitoring and quality analysis. The calling reports and automated insights make it easier to identify important points in customer side without spending too much time reviewing everything manually. Also, It help us lot about to keep track the performance of team and customer interactions.
What do you dislike about the product?
The interface could be more intuitive, especially for new users. Navigation and filtering options could be improved to make it easier to find specific calls and review details quickly.
What problems is the product solving and how is that benefiting you?
This tool helps us to reduce the time spent on manual call reviews and makes it easier to identify issues in customer interactions. Having call summaries and quality insights in one place helps teams work more efficiently, provide better feedback, and maintain consistent service quality.
Vaibhav G.
Improves Customer Experience and Speeds Up Issue Resolution with Powerful Analytics
Reviewed on Oct 17, 2026
Review provided by G2
What do you like best about the product?
It helps in improving customer experience without compromising with contact center operations more efficient manner, as analytics provided by product helps us to resolve customer issues faster.
What do you dislike about the product?
Implementation is hard with existing systems and training employees on it.
What problems is the product solving and how is that benefiting you?
It helps in quality monitoring, reducing customer wait time and identifying difficult insights from customer conversation.