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Microsoft Corporation

Microsoft 365 Copilot AI Agents

Composite Score

6.9 /10

CX Score

8.1 /10

14 Reviews Write a Review

What is Microsoft 365 Copilot AI Agents?

Agents extend the capability of Microsoft 365 Copilot by enabling you to customize your Copilot experience through connecting to your organization’s knowledge and data sources, as well as by automating and executing business processes. These AI-driven agents can perform a variety of tasks, working alongside you to offer suggestions, automate repetitive tasks, and provide insights to help you make informed decisions. You can use pre-built agents, agents created by others in your organization, or create your own.

Company Details

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Microsoft 365 Copilot AI Agents Ratings

Real user data aggregated to summarize the product performance and customer experience.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

75 Likeliness to Recommend

100 Plan to Renew

77 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+93 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Microsoft 365 Copilot AI Agents?

0% Negative

0% Neutral

100% Positive

Pros

Continually Improving Product
Performance Enhancing
Trustworthy
Unique Features

Feature Ratings

Average 62

Analytics and Reporting

Security and Privacy Compliance

Autonomous Decision Making

Data Integration & Connectivity

Natural Language Processing

Workflow Automation

Context-Aware Decision Making

Explainable AI (XAI)

Real-Time Data Processing and Operations

Adaptive Learning / Training

Orchestration of Multi-System Workflows

Vendor Capability Ratings

Average 67

Ease of Customization

Quality of Features

Ease of Implementation

Product Strategy and Rate of Improvement

Breadth of Features

Ease of Data Integration

Vendor Support

Business Value Created

Availability and Quality of Training

Ease of IT Administration

Usability and Intuitiveness

Microsoft 365 Copilot AI Agents Reviews

Rahul S.

Role: Human Resources
Industry: Consulting
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Aug 2025

It's the future of business process automation.

Likeliness to Recommend

8 /10

What differentiates Microsoft 365 Copilot AI Agents from other similar products?

We used to use complex automation tools. Now, we can just build a simple ai agent in copilot studio to do the same thing.

What is your favorite aspect of this product?

I love how easy it is to get started. If you can describe your process in plain english, you can build an agent to automate it. It's very accessible to non-developers.

What do you dislike most about this product?

It is not as powerful as a dedicated automation platform like uipath.

What recommendations would you give to someone considering this product?

This is going to democratize automation for every business user.

Pros

Helps Innovate
Enables Productivity
Inspires Innovation
Fair

Cons

Less Effective Service
Leverages Incumbent Status

How We Deliver

Microsoft 365 Copilot AI Agents

What is Microsoft 365 Copilot AI Agents?

Company Details

Need Assistance?

Microsoft 365 Copilot AI Agents Ratings

75 Likeliness to Recommend

100 Plan to Renew

77 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+93 Net Emotional Footprint

How much do users love Microsoft 365 Copilot AI Agents?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Analytics and Reporting Includes historical & real-time dashboard visualizations, detailed & summary reporting and easy data extraction for data analysis.

Security and Privacy Compliance Ensure data privacy, security, and regulatory compliance requirements are met, especially when handling sensitive data (GDPR, PII, CCPA, HIPAA)

Autonomous Decision Making The AI platform must be capable of making decisions independently based on input data and predefined rules.

Data Integration & Connectivity Ability to connect with multiple external systems (CRMs, ERPs, databases, APIs) and integrate diverse data sources whether structured and unstructured data.

Natural Language Processing Allows chatbot to “understand” voice/text inputs relayed by a human in conversational vernacular, and be able to process & relay feedback in natural speech.

Workflow Automation Offers a rules and routing engine to automate business workflows

Context-Aware Decision Making Ability to take into account the current environment, user behavior, and real-time data to make decisions dynamically.

Explainable AI (XAI) Ability to provide transparency into how and why decisions were made by the AI, offering insights into the models’ decision-making process.

Real-Time Data Processing and Operations Ability of the platform to process real-time data to make immediate decisions and take actions.

Adaptive Learning / Training The platform should support the training of AI models that can learn from data and adapt over time to improve decision-making.

Orchestration of Multi-System Workflows The platform must be able to orchestrate and coordinate multiple systems, bots, or models working together to complete end-to-end tasks.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Microsoft 365 Copilot AI Agents Reviews

Rahul S.

It's the future of business process automation.

Likeliness to Recommend

Pros

Cons

Title

Feature Ratings

Analytics and Reporting

Security and Privacy Compliance

Autonomous Decision Making

Data Integration & Connectivity

Natural Language Processing

Workflow Automation

Context-Aware Decision Making

Explainable AI (XAI)

Real-Time Data Processing and Operations

Adaptive Learning / Training

Orchestration of Multi-System Workflows

Vendor Capability Ratings

Ease of Customization

Quality of Features

Ease of Implementation

Product Strategy and Rate of Improvement

Breadth of Features

Ease of Data Integration

Vendor Support

Business Value Created

Availability and Quality of Training

Ease of IT Administration

Usability and Intuitiveness