Sold by: Observe.AI
Deployed on AWS
Observe.AI Real-time AI helps contact centers improve conversations as they happen. AI listens to live calls, understands context, and delivers real-time guidance and next-best action, so agents stay on track, compliant, and resolve issues faster. Supervisors get live alerts for risks like long hold times and customer frustration, allowing them to step in before issues escalate. AI-generated call summaries reduce after-call work (ACW) and keep CRM records accurate. With real-time coaching, live monitoring, and continuous optimization, your team works smarter and delivers better customer experiences, every time.
4.6
Overview
Image
Observe.AI - Agent Assist
Image
Observe.AI - Knowledge AI
Image
Observe.AI - Summarization AI
Video
Product video
Conversations move fast, and contact centers need to keep up. Observe.AI Real-time AI empowers teams with live agent guidance, real-time supervisor oversight, and automated post-call documentation, so agents resolve issues faster, supervisors can step in when needed, and customer experiences improve across the board. Agent Assist listens in real time, analyzing conversation context to deliver AI-driven scripts, dynamic prompts, and instant answers exactly when agents need them. No more guesswork or scrambling for information, AI detects customer intent, monitors sentiment, and adapts guidance based on metadata and agent experience level, ensuring agents always know what to say next. Knowledge AI surfaces the most relevant, policy-compliant answers by pulling from internal knowledge bases, support articles, and documentation. AI-powered search and real-time updates eliminate the need for manual lookups, so agents can provide accurate, up-to-date responses without hesitation. Supervisor Assist provides real-time visibility into live interactions, alerting supervisors to compliance risks, long hold times, and negative sentiment before they escalate. With live dashboards and intervention tools, supervisors can coach in the moment, correct mistakes before they happen, and optimize agent performance in real time. Summarization AI automates after-call work by generating structured, accurate, and compliant call summaries. AI eliminates tedious manual entry, ensuring CRM records are updated instantly while redacting sensitive PII/PCI data and extracting key insights like competitor mentions or product inquiries. Customizable templates allow businesses to standardize documentation and improve efficiency. Beyond individual calls, Real-time AI enables continuous optimization through real-time reporting and AI-powered analytics. Out-of-the-box and custom dashboards track agent performance trends, script adherence, and coaching opportunities, helping teams refine training and drive long-term improvements. With live guidance, real-time alerts, and AI-driven reporting, Observe.AI helps contact centers work smarter, reduce risk, and improve outcomes, one conversation at a time.
Highlights
- Dynamic, Context-Aware AI for Real-time Coaching: Agent Assist delivers real-time prompts, AI-driven scripts, and contextual guidance, adapting dynamically based on conversation metadata, agent skill level, and call queue. Supervisor Assist provides live AI-powered alerts for compliance risks, negative sentiment, and long hold times, allowing supervisors to monitor interactions in real time and intervene proactively before issues escalate.
- Knowledge AI: Instant, Accurate Answers Without Manual Search: GenAI-powered knowledge access enables agents to instantly retrieve policy-compliant answers from support articles, legacy systems, and internal documents. Observe.AI dynamically delivers context-aware responses with multi-format support, including text, images, and structured data. AI-generated answers come with source links, ensuring clarity, compliance, and accuracy for a seamless customer experience.
- Summarization AI: Automated Post-Call Documentation: Reduce after-call work with AI-generated call summaries, CRM updates, and compliance controls. Summarization AI automates ACW, ensuring structured, accurate documentation while redacting PII/PCI data and extracting key insights like competitor mentions. Customizable templates let businesses format summaries to fit their needs, streamlining post-call workflows and boosting agent efficiency.
Details
Sold by
Categories
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
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 based on number of Agent per month | $828.00 |
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.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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.
Similar products
Real-time observability for AWS: per-second metrics, unsupervised ML anomaly detection on every metric, and Netdata AI for troubleshooting, investigations, and reports. Includes network monitoring with live topology, NetFlow and sFlow analysis, and SNMP devices and traps. Deploys in minutes with 850+ auto-discovered integrations.
Dynatrace is advancing observability for digital businesses of the future, helping to transform the complexity of modern digital ecosystems into powerful business assets. By leveraging AI-powered insights, Dynatrace enables organizations to analyze, automate, and innovate faster to drive their business forward.
The Dynatrace platform and flexible pricing model are designed to grow with your business and scale based on your demands.
Learn more at www.dynatrace.com
VeloDB Cloud: The Real-Time Analytical Database Built for Analytics and AI. VeloDB Cloud is the fully managed, cloud-native real-time analytical database powered by Apache Doris - the fastest open-source OLAP engine trusted by 5,000+ enterprises worldwide. Deliver sub-second analytics, hybrid search, and AI-ready data infrastructure from a single unified platform.
Note: The public offer supports only Pay-As-You-Go (PAYG) subscriptions. If you prefer a discounted contract, please request a private offer.
FutureAGI is an all-in-one AI agent engineering and optimization platform that lets developers easily build, test, deploy, and optimize AI applications. It surpasses traditional testing methods by using proprietary, research-driven evaluation models (patent pending) designed to rigorously benchmark and ensure real-world reliability and performance.
Customer reviews
Mohit S.
Streamlined Call QA with Room for Improvements
Reviewed on Jul 21, 2026
Review provided by G2
What do you like best about the product?
I really appreciate how easy Observe.AI makes it to monitor call quality at scale. The automated QA is something we use a lot, along with call transcriptions and coaching insights. The initial setup was fairly easy and the integrations were smooth, which is definitely a plus. We use it with CRM, contact center software, and collaboration tools, which helps streamline workflows.
What do you dislike about the product?
I find the learning curve to be a bit steep for new users, and I feel that the report customization could be more intuitive. The onboarding process could be improved with more interactive product walkthroughs and product-based tutorials.
What problems is the product solving and how is that benefiting you?
I use Observe.AI to review customer calls, automate QA, and coach agents more effectively. It eliminates the manual effort of reviewing calls, ensures consistent quality evaluations, and helps improve agent performance.
Muskan A.
Streamlines Call Analysis with Easy Insights
Reviewed on Jul 20, 2026
Review provided by G2
What do you like best about the product?
I like how Observe.AI provides easy-to-use, clear insights from customers. It's also really helpful that it makes finding important conversations quick and easy. The quick search and filter features help me find specific calls in seconds instead of doing it manually. The initial setup was straightforward and easy to log in.
What do you dislike about the product?
The dashboard could be more customizable. I would like to have more filtering options and more customizable reports.
What problems is the product solving and how is that benefiting you?
I use Observe.AI to analyze support calls, improving agent performance with clear insights. It enhances call quality, saves time on manual reviews, and the quick search filters help find important conversations in seconds.
Legal Services
Revolutionized Compliance Workflow, Minor Offline Access Issues
Reviewed on Jul 20, 2026
Review provided by G2
What do you like best about the product?
My favorite feature of Observe.AI is its legal-specific sensitive data detection paired with purpose-built audit logging, two capabilities that directly address the core compliance burdens we face at Hoffmann Legal Solutions while adhering to state bar rules and GDPR for international clients. Unlike generic business call recording software that only flags basic emails and phone numbers, this tool scans live transcribed client calls to single out legally protected information including full client legal names, medical injury records, undisclosed settlement amounts, EU residential addresses, and confidential opposing party details. Before this automation, I would spend three hours every day manually reading hundreds of transcript pages to redact these details, carrying constant risk of human error that could trigger regulatory penalties. Its specialized audit trail system transforms our quarterly inspection preparation entirely. Every recorded consultation stores complete staff usernames, precise timestamps, case reference links, and data risk labels, all filterable and exportable in a few clicks. During our last bar audit, regulators requested full proof of our client communication data governance, and I generated a complete, structured report within minutes—something that once required two full workdays of sorting disjointed audio files and Excel trackers. I also value its intuitive auto-categorization tagging, which automatically groups calls by civil litigation, cross-border GDPR intake, and contract consultations. Our paralegals can retrieve case-related transcripts without complex setup, and the platform avoids bloated irrelevant enterprise features common on the market. By centering confidentiality and traceability for legal teams, Observe.AI drastically cuts repetitive administrative labor and delivers permanent, inspector-ready evidence of secure client data handling all year long.
What do you dislike about the product?
The most disruptive limitation of Observe.AI for my field compliance work is its full cloud dependency with no offline access of any kind, creating consistent workflow delays when I travel to meet remote clients across multiple U.S. states. Many of these meeting locations are rural or private office suites with unreliable cellular service and limited Wi-Fi connectivity. On a recent trip, I discovered conflicting details in a client’s injury claim paperwork and intended to cross-reference past recorded intake calls inside Observe.AI to verify prior settlement conversations. Without internet, I could not pull up any historical transcripts or scan stored recordings at all. I had to rely on unorganized handwritten notes and postpone formal case file revisions until returning to our office, pushing back our compliance review timeline by an entire business day. A lightweight offline desktop agent with encrypted local log caching would eliminate this major bottleneck. A second recurring pain point is inconsistent transcription accuracy during complex legal dialogue. The AI frequently mislabels speaker attribution between attorneys and clients, misinterprets niche legal statutes, and fails to catch nuanced confidential manufacturing or settlement language. Even after the automatic privacy scan finishes, I must proofread every transcript batch to fix misattributed lines and manually mark overlooked sensitive data, adding roughly two hours of mandatory corrective work each week during our busiest audit quarters. These two gaps force unnecessary manual labor and slow down our client intake compliance processes whenever I work outside our firm’s stable office network.
What problems is the product solving and how is that benefiting you?
Observe.AI eliminates two major pain points that once dominated my daily compliance records workflow at our small legal firm, while ensuring full adherence to U.S. bar privacy standards and GDPR for cross-border clients. Before adopting this platform, our team captured client consultations on outdated Avaya recording hardware, and I was tasked with fully manual transcription, line-by-line redaction of protected client information, and disjointed audit logging tracked across separate Excel spreadsheets. This repetitive administrative work consumed multiple full workdays ahead of every annual regulatory audit and created constant risk of accidental exposure of confidential settlement figures, medical records, and personal client data. Now, Observe.AI automatically transcribes all intake calls and runs real-time privacy screening to flag regulated sensitive content, cutting nearly all manual redaction labor and lowering the risk of costly compliance violations. The platform generates unified, timestamped audit trails tied to individual case files and staff accounts, which I can filter and export instantly for inspectors without sorting through scattered archives. Its auto-grouping feature sorts transcripts by legal practice area, streamlining long-term case file archiving for our paralegal team. While the lack of offline access and imperfect legal transcription accuracy create minor weekly bottlenecks requiring manual fixes, the platform delivers transformative overall value: it reduces my repetitive paperwork burden, standardizes secure client communication governance firm-wide, and lets our small compliance team shift focus to high-priority legal risk management instead of tedious manual document sanitization and log tracking.
Shawez A.
Streamlined Call Analysis, Effective Coaching
Reviewed on Jul 20, 2026
Review provided by G2
What do you like best about the product?
I use Observe.AI to analyze customer support calls and improve agent performance. It makes reviewing calls much easier and saves us time on manual call reviews. I also find that it helps us identify coaching opportunities and monitor call quality, making coaching much more effective. The setup was straightforward, which was a nice bonus.
What do you dislike about the product?
I find that sometimes the insights need a quick manual check, but overall it works well.
What problems is the product solving and how is that benefiting you?
Observe.AI helps us analyze support calls, improve agent performance, and maintain quality. It identifies coaching opportunities, monitors call quality, and saves time on manual reviews. It makes call reviewing easier and coaching more effective.
Telecommunications
Automated Call Grading That Clarifies CSR Performance Trends
Reviewed on Jul 17, 2026
Review provided by G2
What do you like best about the product?
It grades our calls for us instead of manually listening to each call. It gives us a better picture about a CSR performance if a problem is a one-off or is a pattern.
What do you dislike about the product?
I don't have anything I dislike at this time.
What problems is the product solving and how is that benefiting you?
Efficiency. Ability to search for specifics. Able to breakdown calls into moments that are trackable.