Compare NiCE CXone Mpower and Observe.AI 
At a Glance
Market Segments
Mid-Market (52.7% of reviews)
Mid-Market (65.0% of reviews)
Entry-Level Pricing
Starting at $71.00 1 Agent Per Month
No pricing available
NiCE CXone Mpower
Star Rating
(1,728)4.3 out of 5
Market Segments
Mid-Market (52.7% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $71.00 1 Agent Per Month
Browse all 7 pricing plansObserve.AI
Star Rating
(236)4.6 out of 5
Market Segments
Mid-Market (65.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Observe.AISummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Observe.AI excels in conversation analysis, with users praising its AI-enhanced capabilities for capturing insights and sentiments from customer interactions. One user highlighted its ability to conduct detailed call analysis with high accuracy, making it a valuable tool for quality assurance.
- Users say that NiCE CXone Mpower provides a robust set of features for performance review, allowing teams to efficiently pull calls from reports. Reviewers appreciate the various options for sorting and accessing calls, which enhances situational awareness and helps improve customer service.
- According to verified reviews, Observe.AI stands out for its ease of use, with a higher rating than NiCE CXone Mpower. Users find the interface intuitive, which facilitates quick adoption and effective utilization of the software in daily operations.
- Reviewers mention that NiCE CXone Mpower offers a customizable dashboard that helps users keep track of incoming calls and agent activities. This feature is particularly appreciated for its role in enhancing overall service levels and operational transparency.
- G2 reviewers highlight that Observe.AI's focus on quality assurance is a significant advantage, with users noting its ability to analyze agent interactions and transcripts effectively. This capability aids in identifying key topics and sentiments, which is crucial for improving customer engagement strategies.
- Users report that while NiCE CXone Mpower has a solid feature set, it faces challenges in implementation compared to Observe.AI, which boasts a smoother setup process. This difference can impact how quickly teams can start leveraging the software for their needs.
Pricing
Entry-Level Pricing
NiCE CXone Mpower
CXone Mpower Digital Agent
Starting at $71.00
1 Agent Per Month
Digital first package supports 30+ digital channels
- Common data sets and models
- Unified administration and user interface
- Digital Agent routing for 30+ channels
Observe.AI
No pricing availableFree Trial
NiCE CXone Mpower
Free Trial is available
Observe.AI
No trial information availableRatings
Meets Requirements
8.7
1,192
8.8
183
Ease of Use
8.7
1,209
9.2
183
Ease of Setup
8.0
451
9.0
106
Ease of Admin
8.3
439
9.2
92
Quality of Support
8.3
1,112
9.2
179
Has the product been a good partner in doing business?
8.2
436
9.3
94
Product Direction (% positive)
8.2
1,109
9.7
175
Features by Category
Ticket and Case Management
8.6
7
Not enough data
8.3
7
Not enough data
8.6
7
Not enough data
8.8
7
Not enough data
7.9
7
Not enough data
8.6
7
Not enough data
8.6
7
Not enough data
8.8
7
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Help Desk
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Communication Channels
9.4
6
Not enough data
9.5
7
Not enough data
9.0
7
Not enough data
7.8
6
Not enough data
8.8
7
Not enough data
Platform
8.3
7
Not enough data
9.1
11
Not enough data
8.8
7
Not enough data
8.8
7
Not enough data
8.8
7
Not enough data
8.3
7
Not enough data
Dialing Options
8.9
311
|
Verified
Not enough data
9.0
287
|
Verified
Not enough data
Not enough data
Not enough data
Agent Tools
9.0
263
|
Verified
Not enough data
8.9
276
|
Verified
Not enough data
9.2
313
|
Verified
Not enough data
Automation
8.8
230
|
Verified
Not enough data
9.0
247
|
Verified
Not enough data
8.9
210
|
Verified
Not enough data
Agentic AI - Auto Dialer
Not enough data
Not enough data
Not enough data
Not enough data
AI Capabilities - Auto Dialer
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
9.0
7
Not enough data
8.8
7
Not enough data
8.3
7
Not enough data
Knowledge Management
8.8
7
Not enough data
7.6
7
Not enough data
8.1
7
Not enough data
Compliance
8.1
7
Not enough data
8.1
7
Not enough data
9.0
7
Not enough data
7.4
7
Not enough data
Customer Support
7.9
7
Not enough data
8.1
7
Not enough data
7.6
7
Not enough data
Data Security
8.3
7
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
8.8
7
Not enough data
Administration
8.8
7
Not enough data
8.8
7
Not enough data
8.6
7
Not enough data
Generative AI
Not enough data
Not enough data
Call Analytics
Not enough data
9.5
44
Not enough data
8.9
45
Not enough data
9.1
45
Not enough data
9.0
40
Artificial Intelligence - Conversation Intelligence
Not enough data
9.3
40
Not enough data
8.7
43
Not enough data
Not enough data
Generative AI
Not enough data
8.9
17
Agentic AI - Conversation Intelligence
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Quality Assurance
9.0
253
9.2
144
9.0
237
9.0
140
8.8
263
8.8
135
Engagement
9.0
238
9.1
145
9.0
250
9.1
138
8.8
238
8.8
134
Performance
8.9
238
9.0
126
9.2
256
9.3
134
Generative AI
5.2
18
8.8
28
5.4
18
8.8
28
Channels
9.1
626
|
Verified
Not enough data
8.5
326
|
Verified
Not enough data
8.5
352
|
Verified
Not enough data
8.3
296
|
Verified
Not enough data
8.5
350
|
Verified
Not enough data
Generative AI
7.0
48
Not enough data
Functions
8.8
653
|
Verified
Not enough data
9.0
692
|
Verified
Not enough data
8.9
547
|
Verified
Not enough data
8.7
386
|
Verified
Not enough data
8.8
458
|
Verified
Not enough data
8.9
553
|
Verified
Not enough data
8.8
556
|
Verified
Not enough data
8.7
497
|
Verified
Not enough data
Agentic AI - Contact Center
8.1
6
Not enough data
7.8
6
Not enough data
8.3
6
Not enough data
7.8
6
Not enough data
Administrative
8.6
516
|
Verified
Not enough data
8.9
546
|
Verified
Not enough data
8.6
643
|
Verified
Not enough data
9.0
513
|
Verified
Not enough data
8.9
431
|
Verified
Not enough data
Responses
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Automation - AI Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Autonomy - AI Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Workforce Management
9.3
289
|
Verified
Not enough data
9.2
280
|
Verified
Not enough data
8.9
226
|
Verified
Not enough data
9.0
227
|
Verified
Not enough data
8.6
177
|
Verified
Not enough data
Administration
8.9
230
|
Verified
Not enough data
9.2
271
|
Verified
Not enough data
9.0
295
|
Verified
Not enough data
8.7
220
|
Verified
Not enough data
9.0
227
|
Verified
Not enough data
Messaging Channels
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
8.6
32
Not enough data
7.5
27
Not enough data
8.8
34
Not enough data
9.2
38
Not enough data
8.6
35
Not enough data
9.4
31
Not enough data
9.3
37
Not enough data
Generative AI
Feature Not Available
Not enough data
Workforce Management
9.4
36
Not enough data
9.0
33
Not enough data
Call Center Infrastructure (CCI)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administrative
9.4
38
Not enough data
8.8
39
Not enough data
Customer Support
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Artificial Intelligence
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Self-Service Experience
8.1
7
Not enough data
7.5
8
Not enough data
7.5
8
Not enough data
7.5
8
Not enough data
7.3
8
Not enough data
Self-Service Platform
8.3
8
Not enough data
8.3
8
Not enough data
7.9
8
Not enough data
8.1
7
Not enough data
Agentic AI - Customer Self-Service
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
6.7
5
8.8
22
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Testing - Contact Center AI Observability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analytics - Contact Center AI Observability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Infrastructure - Contact Center AI Observability
Not enough data
Not enough data
Customer Query Resolution - AI Customer Support Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Customer Interaction Automation - AI Customer Support Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Autonomy
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - AI Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
NiCE CXone Mpower and Observe.AI are categorized as Contact Center Quality Assurance, Speech Analytics, and AI Customer Support Agents
Unique Categories
NiCE CXone Mpower is categorized as Customer Service Automation, Digital Customer Service Platforms, Contact Center Knowledge Base, Auto Dialer, Help Desk, Contact Center Workforce, Call Center Infrastructure (CCI), Contact Center, Customer Self-Service, and Proactive Notification
Observe.AI is categorized as AI Agents For Business Operations, Conversation Intelligence, and Contact Center AI Observability
Reviews
Reviewers' Company Size
NiCE CXone Mpower
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Observe.AI
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Consumer Services
10.4%
Information Technology and Services
8.3%
Financial Services
7.9%
Telecommunications
7.1%
Hospital & Health Care
5.8%
Other
60.5%
Outsourcing/Offshoring
13.2%
Consumer Services
12.7%
Hospital & Health Care
7.3%
Telecommunications
6.8%
Health, Wellness and Fitness
6.4%
Other
53.6%
Alternatives
Discussions
Does it ever pause or get frozen after a call
2 Comments
AA
In three months of use, 40 hours a week.... Not that often thankfullyRead more
What is NICE CXone used for?
1 Comment
SI
NICE CXone is basically an customer interaction tool that can help you manage the customer interactions from the platform, via Calls, Emails, etc. An good...Read more
Can I use this application for auto dialed jobs?
1 Comment
LH
Yes. This software has a option with chat, email and voice dailRead more
What is the best way to use this tool to have more accurate and quality results in a short matter of time ?
2 Comments
AT
The best way to use this tool to have more accurate and quality results in a short matter of time is having a job like mine as quality assurance analyst. Read more
Can I use this tool in promoting quality work to other people in our community?
2 Comments
BI
Yes definitely!! it would make your evaluations more accurate!!Read more
Is there any other way to retrieve of find the date of the call back?
1 Comment
Official Response from Observe.AI
Thanks for your question, Beberly. You can use your metadata to search for calls with the same phone number, same customer, or other parameters that are...Read more
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