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At a Glance
Market Segments
Mid-Market (52.6% of reviews)
Mid-Market (64.4% of reviews)
Entry-Level Pricing
Starting at $71.00 1 Agent Per Month
No pricing available
NiCE CXone Mpower
Star Rating
(1,726)4.3 out of 5
Market Segments
Mid-Market (52.6% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $71.00 1 Agent Per Month
Browse all 7 pricing plansObserve.AI
Star Rating
(238)4.6 out of 5
Market Segments
Mid-Market (64.4% 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.
- Users report that NICE CXone Mpower excels in Call Recording with a score of 9.6, providing high-quality recordings that are essential for compliance and training purposes. In contrast, Observe.AI's Call Recording feature, while still strong, has a slightly lower score of 9.2, indicating that NICE CXone may offer a more robust solution in this area.
- Reviewers mention that Observe.AI shines in Ease of Use with a score of 9.3, making it more user-friendly for agents compared to NICE CXone Mpower, which has a score of 8.8. This difference suggests that Observe.AI may require less training and onboarding time for new users.
- G2 users highlight the superior Quality of Support from Observe.AI, scoring 9.3, compared to NICE CXone Mpower's score of 8.4. This indicates that users may find more responsive and helpful support when using Observe.AI, which can be crucial for resolving issues quickly.
- Users on G2 report that NICE CXone Mpower offers better Database Management with a score of 9.4, which is essential for maintaining customer data integrity. Observe.AI, while still effective, has a lower score in this area, suggesting that NICE CXone may provide more comprehensive tools for managing customer information.
- Reviewers mention that Observe.AI's Generative AI capabilities, particularly in AI Text Summarization, are impressive with a score of 8.7, compared to NICE CXone Mpower's lower score of 6.7. This indicates that Observe.AI may offer more advanced AI features that can enhance productivity and efficiency.
- Users say that NICE CXone Mpower's Ticket Creation User Experience is rated at 8.6, which is competitive, but Observe.AI's focus on automation and user experience in ticketing may provide a more streamlined process, as indicated by its higher overall ratings in related areas.
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
1,191
8.8
185
Ease of Use
8.7
1,207
9.2
185
Ease of Setup
8.0
449
9.0
108
Ease of Admin
8.3
438
9.2
91
Quality of Support
8.3
1,111
9.2
181
Has the product been a good partner in doing business?
8.2
435
9.3
93
Product Direction (% positive)
8.2
1,108
9.7
177
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
43
Not enough data
8.9
44
Not enough data
9.1
44
Not enough data
9.0
40
Agent Performance Management
Not enough data
9.3
40
Not enough data
8.7
42
Not enough data
9.1
43
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
143
9.0
237
9.0
140
8.8
263
8.8
134
Engagement
9.0
238
9.1
144
9.0
250
9.1
137
8.8
238
8.8
133
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
625
|
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
691
|
Verified
Not enough data
8.9
547
|
Verified
Not enough data
8.7
386
|
Verified
Not enough data
8.8
457
|
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
642
|
Verified
Not enough data
9.0
513
|
Verified
Not enough data
8.9
430
|
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
8.9
24
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
7.0%
Hospital & Health Care
5.8%
Other
60.5%
Outsourcing/Offshoring
13.1%
Consumer Services
12.2%
Hospital & Health Care
7.2%
Telecommunications
6.8%
Financial Services
6.8%
Other
54.1%
Alternatives
Discussions
Does it ever pause or get frozen after a call
2 Comments
MG
Yep when we first cut over to CX One our Agents Max Client kept freezing, and dropping the call. OR calls would come in and the Agent Leg would not connect...Read more
Are you implementing a replacement for the Adobe Flash integration?
1 Comment
JJ
i dont have a comment for thatRead more
Is there a way to check the history os the calls that came in or dialed without the information disappering?
1 Comment
JF
Click on button "New" -> History tabRead more
Can I use this tool in promoting quality work to other people in our community?
2 Comments
Official Response from Observe.AI
Hi Larah, absolutely! Our platform is used by many organizations who gamify strong performance. As an example, some Observe.AI users will allow QA team leads...Read 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
Official Response from Observe.AI
The Observe.AI platform inherently enables greater efficiency of quality audits. By allowing users to see call transcripts, specific points of interests on...Read more
Is there a way every time a call is scored and email can be triggered to the agent to notify them ?
1 Comment
Official Response from Observe.AI
Hi Melissa,
Yes! It's possible to get an email sent to your agent letting them know they've had a call scored. Today, you can do this by leaving a...Read more
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