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At a Glance
Market Segments
Small-Business (40.5% of reviews)
Small-Business (41.4% of reviews)
Entry-Level Pricing
No pricing available
$1.00 2000 Sessions Month
IBM watsonx.ai
Star Rating
(122)4.4 out of 5
Market Segments
Small-Business (40.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about IBM watsonx.aiMicrosoft Copilot Studio
Star Rating
(124)4.4 out of 5
Market Segments
Small-Business (41.4% of reviews)
Pros & Cons
Entry-Level Pricing
$1.00 2000 Sessions Month
Learn more about Microsoft Copilot StudioSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Reviews say that both Microsoft Copilot Studio and IBM watsonx.ai excel in ease of use, with scores of 8.7 and 8.8 respectively. However, users report that IBM's interface feels slightly more intuitive, making it easier for new users to get started quickly.
- Users mention that IBM watsonx.ai outperforms Microsoft Copilot Studio in terms of tone customization, scoring 9.0 compared to Copilot's 7.6. Reviewers appreciate IBM's ability to tailor responses to fit specific brand voices, which enhances customer engagement.
- G2 users highlight the superior security features of IBM watsonx.ai, with a score of 9.0 for security guardrails versus Copilot's 7.8. Reviewers emphasize the importance of robust security measures, especially for businesses handling sensitive data.
- Users on G2 report that IBM watsonx.ai provides better analytics and reporting capabilities, scoring 9.0 compared to Microsoft Copilot Studio's 7.8. Reviewers appreciate the detailed insights and actionable data that help in decision-making processes.
- Reviewers mention that while both products have strong API usage capabilities, IBM watsonx.ai's score of 9.0 indicates a more seamless integration experience, allowing for better customization and functionality within existing workflows.
- Users say that IBM watsonx.ai shines in workflow automation, scoring 9.0 compared to Copilot's 8.2. Reviewers highlight the efficiency gained through automated processes, which significantly reduces manual workload and enhances productivity.
Pricing
Entry-Level Pricing
IBM watsonx.ai
No pricing availableMicrosoft Copilot Studio
Power Virtual Agents
$1.00
2000 Sessions Month
NA
- Create and maintain intelligent chatbots - 1,000 bots Sessions - 2,000 per month3 Use Common Data Service} - 10 GB database capacity } 420 GB file capacity4 Enable your bot to take action - Power Automate use rights5 Sessions add-on - Sessions add-on$450
Free Trial
IBM watsonx.ai
Free Trial is available
Microsoft Copilot Studio
No trial information availableRatings
Meets Requirements
8.8
77
8.3
109
Ease of Use
8.9
109
8.7
111
Ease of Setup
8.5
100
8.6
90
Ease of Admin
8.7
36
8.6
34
Quality of Support
8.8
76
8.3
103
Has the product been a good partner in doing business?
8.9
36
8.5
34
Product Direction (% positive)
9.9
79
9.3
106
Features by Category
Deployment
9.1
9
Not enough data
8.5
9
Not enough data
7.8
9
Not enough data
8.7
9
Not enough data
8.7
9
Not enough data
Deployment
9.3
9
Not enough data
8.7
9
Not enough data
8.3
9
Not enough data
8.9
9
Not enough data
9.1
9
Not enough data
Management
8.0
9
Not enough data
8.5
9
Not enough data
8.5
9
Not enough data
9.3
9
Not enough data
Operations
9.1
9
Not enough data
8.7
9
Not enough data
9.3
9
Not enough data
Management
8.5
9
Not enough data
9.0
8
Not enough data
8.5
8
Not enough data
Generative AI
9.1
9
Not enough data
9.3
9
Not enough data
System
8.2
31
Not enough data
Model Development
8.6
32
Not enough data
8.2
32
Not enough data
8.7
31
Not enough data
8.4
32
Not enough data
Model Development
8.5
32
Not enough data
Machine/Deep Learning Services
Feature Not Available
Not enough data
8.9
32
Not enough data
8.6
32
Not enough data
8.1
32
Not enough data
Machine/Deep Learning Services
8.5
32
Not enough data
8.8
32
Not enough data
Deployment
8.2
32
Not enough data
8.6
32
Not enough data
8.8
32
Not enough data
Generative AI
8.8
31
Not enough data
8.8
31
Not enough data
Feature Not Available
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
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
Data Type
8.8
13
Not enough data
Feature Not Available
Not enough data
8.5
12
Not enough data
Synthesis Type
9.0
12
Not enough data
9.2
12
Not enough data
Data Transformation
8.6
12
Not enough data
9.3
12
Not enough data
9.7
12
Not enough data
9.2
12
Not enough data
9.2
12
Not enough data
Generative AI
Not enough data
8.1
34
Not enough data
8.5
34
Agentic AI - Bot Platforms
Not enough data
8.0
25
Not enough data
7.7
25
Not enough data
7.7
25
Not enough data
7.9
25
Not enough data
7.9
24
Not enough data
7.6
24
Not enough data
7.4
24
Scalability and Performance - Generative AI Infrastructure
9.3
7
Not enough data
8.8
7
Not enough data
9.3
7
Not enough data
Cost and Efficiency - Generative AI Infrastructure
8.3
7
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
Integration and Extensibility - Generative AI Infrastructure
9.5
7
Not enough data
8.6
7
Not enough data
8.8
7
Not enough data
Security and Compliance - Generative AI Infrastructure
8.3
7
Not enough data
8.8
7
Not enough data
8.6
7
Not enough data
Usability and Support - Generative AI Infrastructure
9.3
7
Not enough data
9.0
7
Not enough data
Content Generation - AI Content Creation Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management - AI Content Creation Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - Machine Learning
9.0
21
Not enough data
Learning - Machine Learning
9.2
22
Not enough data
9.1
22
Not enough data
9.0
21
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
9.2
6
Not enough data
8.1
6
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
8.9
6
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
8.9
6
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
8.1
6
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
8.3
6
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
8.3
6
Not enough data
8.6
6
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
9.4
6
Not enough data
8.6
6
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
8.6
6
Not enough data
8.9
6
Not enough data
Security - Large Language Model Operationalization (LLMOps)
9.4
6
Not enough data
9.2
6
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
8.9
6
Not enough data
Customization - AI Agent Builders
8.8
7
8.1
56
9.0
7
7.7
57
9.0
7
7.8
57
Functionality - AI Agent Builders
8.6
7
7.8
54
9.0
7
7.9
54
9.3
7
8.0
53
8.8
7
8.1
53
Data and Analytics - AI Agent Builders
9.0
7
7.8
52
8.8
7
7.7
53
9.0
7
8.1
52
Integration - AI Agent Builders
9.0
7
8.2
53
9.0
7
8.0
52
9.0
7
7.9
51
8.6
7
7.9
52
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
IBM watsonx.ai and Microsoft Copilot Studio are categorized as AI Agent Builders
Reviews
Reviewers' Company Size
IBM watsonx.ai
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Microsoft Copilot Studio
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
Information Technology and Services
18.9%
Computer Software
11.7%
Consulting
7.2%
Banking
6.3%
Marketing and Advertising
5.4%
Other
50.5%
Information Technology and Services
19.8%
Computer Software
9.5%
Financial Services
6.0%
Automotive
5.2%
Computer & Network Security
4.3%
Other
55.2%
Alternatives
Discussions
IBM watsonx.ai has no discussions with answers
How soon will this bot be able to answer customer questions flawlessly?
1 Comment
RJ
It depends on the question being asked.For example, if we ask the hi/hello the response will be faster.If the api are used then based on the time it takes to...Read more
What can power virtual agents do?
1 Comment
AD
Power Virtual Agent is a no-code chatbot deployment software that helps you set up a chatbot on your website with the predefined topics that you configure in...Read more
Microsoft Copilot Studio has no more discussions with answers
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