Microsoft Copilot Features

Uses LLMs to generate dynamic responses within defined boundaries and business-safe content rules.

Maintains context across user turns in a single session to provide coherent, relevant responses.

Understands varied user phrasing and infers intent without relying solely on keywords or scripts.

Supports building conversational flows using predefined paths, rules, and decision trees.

Provides fallback messages or guidance when the bot cannot understand or fulfill a query.

Checks for grammar errors like misspellings, sentence run-on, etc.

Evaulates emotional tone of words written.

Ensures sentences are formatted properly.

Checks for instances of plagirism.

Evalutes that work has been done within the guildlines of a given writing style (MLA, APA, Chicago, etc.).

Finds and formats citations for works mentioned.

Input different types of content and edit text formats, fonts, font sizes, and colors

Assists in the ideation process for creating new content, including themes, content types, titles and more

Generates sentences, paragraphs, or papers based on sample text or a topic.

Generates a form based on information presented.

Application is available as a standlone product.

Application is available as a plugin used with another document creation product.

Provides API access to connect with proprietary business systems or internal data sources.

Offers embeddable widgets or SDKs for integration into websites, apps, or third-party tools.

Allows non-developers to configure and design chatbot flows via visual or no-code interfaces.

Gives user ability to parse text by parts of speech

Provides user with a summary of inputted text

Gives user ability to parse text by named entities

Outputs the sentiment (positive or negative) of a given text

Provides user with emotion (e.g. sad, happy, etc.) of text

Detects language of a given text

Gives user ability to import a variety of data sources for immediate use

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Offers the ability for developers to drag and drop pieces of code or algorithms when building language models

Provides users with pre-built algorithms for simpler model development

Allows user to build custom language models

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Offers the ability for developers to drag and drop pieces of code or algorithms when building language models

Provides users with pre-built algorithms for simpler model development

Allows user to build custom language models

Evaluates the chatbot's ability to provide flexible APIs for custom integrations and functionality expansions.

Regularly receives updates that contribute to continuous improvement of the product.

Assesses the chatbot's ability to function seamlessly across various platforms and devices.

Seamlessly integrates with other platforms or software systems, enhancing overall utility.

Set up connections to third-party platforms to improve business processes

Processes large data sets

Processes unstructured data

Gives user ability to upload or process various types of files

Outputs fluent reports based on the inputted data

Outputs easy to read charts and graphs based on the inputted data

Grants ability to change generated content based on audience

Provides personalized responses to interlocator based on segmentation or past responses.

Has tools (e.g. dashboards and reports) to better understand conversations Intelligent Virtual Assistants have had.

Can have a natural, human-like conversation with an interlocator.

Manage and support multiple languages

Allows business to edit conversations to meet the unique needs of one's business.

Gives users the ability to update systems, like CRM, based on conversations.

Allows users to maintain and observe the accuracy and viability of Intelligent Virtual Assistants.

Editing tool that allows users to drag and drop images, icons, widgets, or other components

Agents pause for human input at key steps and hand off tasks when beyond their confidence or authority.

Ensures consistent performance, delivering reliable outputs based on user prompts.

Implements stringent measures to protect user data and ensure privacy.

Shows adeptness in comprehending and responding to complex or multi-part queries.

Facilitates natural and human-like conversations, delivering engaging interaction experiences.

Demonstrates a sophisticated understanding of both written and spoken user commands.

Collecting, analyzing, and utilizing feedback from users or customers to improve a product or service

Offers a high degree of customization to meet individual user or business requirements.

Manage inventory, communication, marketing, orders & more across warehouses, stores and online channels

Manage and track all internal and external communication conducted via calls, email, text, or chat

Create, design and manage workflows for repetitive tasks

Manage, store and organize emails within the system or via third-party apps

Manage a repository of information that includes articles, FAQs, or tutorials used for self-service support

Features robust learning mechanisms, improving responses over time based on past user interactions.

Showcases the ability to recognize, correct, and learn from its own mistakes.

Displays creativity in generating diverse, interesting, and contextually relevant responses.

Produces content that is accurate, factually correct, and relevant to the user's query.

Utilizes artificial intelligence algorithms to generate high-quality images.

Generate images based on specific text prompts or keywords.

Provides customization options for users to control the style, composition, or color palette of the generated images.

Create different variations inspired by an original image

Supports different aspect ratios for image generation.

Software program that continuously adjusts its behavior based on observed data

Create images based on given inputs or prompts

Provides tools for adjusting the balance between image prompts and text prompts.

Provides negative prompting features to remove specific elements, such as plants, from the generated images.

Gives the user the ability to specify a seed number for consistent image generation.

Produces high quality images.

Has options available to switch between different image generation models.

Has options to add or select image styles.

Generates seamless tileable images for creating patterns or textures.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Use AI to generate content in the form of text, images, videos, etc.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Allows users to automate responses to customer inquiries across various channels.

Allows users to automate responses to customer inquiries across various channels.

Allows users to automate the process of generating and qualifying sales leads.

Allows users to automate the handling, processing, and management of documents.

Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.

Process and analyze human language in text or audio form

Generative AI can generate synthetic data and simulate scenarios for training and testing purposes.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Provides the AI agent the ability to execute tasks without requiring constant user input.

Allows the AI agent to identify and resolve issues without user intervention.

Provides users with the ability to test and optimize prompts to improve LLM output quality and efficiency.

Gives users a collection of reusable prompt templates for various LLM tasks to accelerate development and standardize output.

Offers tools for users to compare multiple LLMs side-by-side based on performance, speed, and accuracy metrics.

Provides users with a user-friendly interface for fine-tuning LLMs on their specific datasets, allowing better alignment with business needs.

Gives users tools to integrate LLM functionality into their existing applications through SDKs and APIs, simplifying development.

Offers users the capability to deploy models quickly to production environments with minimal effort and configuration.

Provides users with tools to automatically scale LLM resources based on demand, ensuring efficient usage and cost-effectiveness.

Gives users the ability to set boundaries and filters to prevent inappropriate or sensitive outputs from the LLM.

Offers users tools to ensure their LLMs adhere to compliance standards such as GDPR, HIPAA, and other regulations, reducing risk and liability.

Gives users notifications when the LLM performance deviates significantly from expected norms, indicating potential model drift or data issues.

Provides users with live insights into model accuracy, latency, and user interaction, helping them identify and address issues promptly.

Provides users with encryption capabilities for data in transit and at rest, ensuring secure communication and storage when working with LLMs.

Offers users tools to set access permissions for different roles, ensuring only authorized personnel can interact with or modify LLM resources.

Provides users with middleware to route requests efficiently to the appropriate LLM based on criteria like cost, performance, or specific use cases.

Gives users tools to process multiple inputs in parallel, improving inference speed and cost-effectiveness for high-demand scenarios.

Helps in understanding different accents, dialects, and speech patterns.

Helps to generate human-like speech responses.

Provides customizable speech speed and intonation.

Provides multiple voice options like gender, tone and style.

Allows communications to be secure and authenticated.

Aids in syncing with multiple devices.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Enables tuning or updating chatbot behavior based on user feedback or admin input (non-live learning).

Includes safeguards to restrict inappropriate responses and ensure compliant language use.

Allow users to generate images with rights cleared for commercial use (e.g., marketing, resale, business use).

Clearly state the type of license associated with generated images (e.g., royalty-free, CC0, restricted use).

Retrieves information from integrated enterprise systems in response to conversational queries

Identifies user intent and maps requests to predefined system actions, queries, or workflows

Initiates tasks, processes, or system workflows based on interpreted user requests

Interprets user requests expressed in natural language to identify intent and relevant entities

Maintains dialogue continuity across multiple messages to support contextual back-and-forth interactions

Enables users to interact with agents through chat, messaging platforms, or voice commands

Maintains contextual information across interactions to support coherent multi-turn conversations

Adjusts responses and available actions based on the user’s identity, role, and system permissions

Connects conversational agents with enterprise systems such as CRM, ERP, ITSM, or collaboration tools

Enforces authentication, authorization, and governance policies for conversational interactions

Records chatbot interactions, administrative actions, and response histories for review

Restricts chatbot access and responses based on user identity and permissions

Supports regional or customer-defined data storage and processing requirements

Applies governance policies and safety controls to chatbot outputs

Pulls current information from connected systems during conversations

Integrates with external systems and proprietary data sources through APIs

Connects to internal documentation, wikis, and knowledge management systems

Accesses and interacts with customer and operational data from business systems

Grounds responses in connected enterprise knowledge sources and live data

Interprets user intent and conversational context from freeform natural language queries

Maintains conversational memory and context across multiple user interactions

Generates context-aware responses using LLMs and organizational data sources

Executes predefined business actions and workflows from conversational requests

Routes unresolved or high-risk interactions to human agents or teams

Monitors chatbot usage, interaction quality, and operational performance metrics

Deploys chatbot experiences across web, messaging, intranet, and support channels

Generative AI models can create personalized recommendations for users based on their preferences and behavior.

Application programming interface that allows for integration with other systems/databases

Generative AI models can be used for image and video editing tasks that can automatically enhance images, remove noise or change styles

Edit, touch up, and convert images for publishing

Use artificial intelligence (AI) to turn photos into professional headshots for CVs, resumes, etc.

Create a higher resolution version, or enlarge image or video, without loss in quality

Pre-designed layouts or themes

Generative AI can aid in creative design tasks by generating novel and innovative designs

Use AI to generate content in the form of text, images, videos, etc.

Erase, replace, or add elements to images/photos

Representation of any object in 3D

Remove backgrounds from images or other types of content

Review the style of written or visual content

Content policy to prevent users from generating harmful, violent, or explicit content

Use AI to expand images/photos beyond their original borders

Manage and support multiple languages

Generative AI can be employed to create virtual characters, avatars, or digital personas

Drawing and modeling designs within 2D flat dimensions

Use a brush, or other tool, to remove and add new objects to images

Process and analyze human language in text or audio form

Popular class of generative models that use a two-player adversarial game between a generator and a discriminator.

Upload images, videos, and other types of media

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Access the system via a mobile application

Process of carefully designing and constructing prompts or input instructions to achieve desired behaviors or outputs from AI models

Designer tool for creating color combinations that work together well

Generative AI can be employed to generate content in different forms, such as text, images, music, and videos

Multiple agents work together, share tasks, and coordinate to achieve common goals.

Collection of processes, policies, and standards to manage the storage & usability of enterprise data

Process of carefully designing and constructing prompts or input instructions to achieve desired behaviors or outputs from AI models

Collecting, analyzing, and utilizing feedback from users or customers to improve a product or service

Build applications without the use of code

Track revisions and updates made to files and navigate between different versions

Set & manage permission levels based on user roles and restrict access to only authorized individuals

Model the varying behavior of a system over time through diagrams

Application programming interface that allows for integration with other systems/databases

Store and save retrievable data

Observe and track the demand, usage, progress or quality of a system, product, or user

Manage a growing amount of work to meet increased demand without compromising performance

Manage budgets, track and optimize spending and align capacity to workload demand

Plan availability and assign specific time slots for tasks and resources

Interact with agents using conversational language

Define levels of authorization for access to specific files or systems

Ability to interact with various large language models, such as GPT-4, Claude 3, Gemini, Llama 3, and more

Identify which applications need to exchange data and enable these data connections

Flexible architecture allowing tailored configurations

Pre-defined templates within a library for common cases such as contracts, websites, emails, and more

Tools for the systematic analysis of various types of data or statistics

Helps understand a user's intentions/actions

Interprets what a user is doing based on context and helps guide them through the process.

Automates and streamlines business processes by creating a sequence of predefined rules and actions that govern the flow of work

Bots that work alongside humans on tasks that cannot be fully automated

Assemble applications and processes by dragging over and arranging pre-built components

Used as a promotional or demonstration tool in sales and marketing presentations

Use AI to generate content in the form of text, images, videos, etc.

Helps automate and manage information, tasks, and procedures by establishing routines and patterns associated with processes

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Set up connections to third-party platforms to improve business processes

Allows communication with customers or users via multiple channels such as phone, email, live chat, etc.

Categorize emotions expressed in written text or images and identify if they are positive, negative or neutral

Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data.

Assemble applications and bots from pre-made building blocks without having to write software code or knowing a programming language

Track and manage adherence to policies for any service, product, process, or supplier

Automatic reply functionality for incoming messages

Gather, organize, share, and analyze knowledge in terms of resources, documents, and people skills

Transfer queries and organize messages between agents

Adjust communications based on previous interactions or personal preferences

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Track and understand a customer's overall satisfaction with a product or service to identify areas of improvement.

Program systems that assist users with their daily administrative responsibilities

AI-based platform which conducts a conversation via auditory or textual methods

Train your system to interpret and transcribe voice messages

View and track pertinent metrics to find patterns and gain insights from data

Create, manage and track all task activities and progression

Initiate interactions with customers by proactively starting conversations or providing informational content

Software program that continuously adjusts its behavior based on observed data

Configure existing workflows to meet your organization's needs

Automate processes from start to finish without human assistance

Recording, transcription, and analysis of sales calls for the purpose of training and generating insights

Streamlining repetitive tasks and activities through automated and predefined workflows

Managing and resolving errors that occur during program execution to maintain stability

Track what was updated, who made the changes, compare two revisions, and revert or perform another revision

Utilizes artificial intelligence to provide content suggestions to users as they type

Provides a channel for team members to share media files, communicate, and work together

Sample files or documents that could be customized as needed or used as is

Search and/or filter for items using names, keywords, descriptions, tags, metadata, etc.

Choose the desired tone for content to be generated

Manage and support multiple languages

Attach digital tags to documents and assets for identification, search, or monitoring purposes

Autocompletion of a word or phrase that the user is typing

Export content in multiple document formats such as .pdf, .txt, .doc, .xls, and more based on requirements

Dictionary/Thesaurus

Create and save approved content for re-use across the team or business

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Set up connections to third-party platforms to improve business processes

View and track pertinent metrics to find patterns and gain insights from data

Create, design and manage workflows for repetitive tasks

Pre-designed layouts that can be customized to match preferences and requirements

Rules followed by the software/AI can be configured by users to suit their specific needs

Application programming interface that allows for integration with other systems/databases

Automatic correction of spelling and/or grammatical mistakes

Process and analyze human language in text or audio form

Identify different languages

Platforms that assist marketers in identifying relevant keywords for their content, websites, or advertising campaigns

Edit text as needed

Automatically saves entered text/data

Provides centralized location and shareable capabilities for storage, distribution, and editing of brand guidelines

Create and automatically send premade copy in response to customer messages

Configure existing workflows to meet your organization's needs

Process and analyze human language in text or audio form

Add customized logos and colors to align with company branding

Categorize emotions expressed in written text or images and identify if they are positive, negative or neutral

Analyze and gain insights into data in real-time

Existing bot models for AI-based tools commonly used for auditory and textual conversation methods

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Ability to chat online in real time

Active monitoring of systems, applications, or networks

Assemble applications and bots from pre-made building blocks without having to write software code or knowing a programming language

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Train your system to interpret and transcribe voice messages

Assemble applications and processes by dragging over and arranging pre-built components

View and track pertinent metrics to find patterns and gain insights from data

Use AI to generate content in the form of text, images, videos, etc.

AI-based platform which conducts a conversation via auditory or textual methods

Helps understand a user's intentions/actions

Automatically identify and save contact information of potential customers

Allows communication with customers or users via multiple channels such as phone, email, live chat, etc.

Search and filter data across systems to locate required information by entering keywords or certain criteria

Interact with data visualization elements, such as charts and graphs, to drill down into data

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Communicate using direct chat or messages within the system

Built-in customer relationship management (CRM) capabilities or integration with a third-party CRM system

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Interprets what a user is doing based on context and helps guide them through the process.

Ability to interact with the application using human languages such as English

Observe and track the demand, usage, progress or quality of a system, product, or user

The ability of a bot to respond to user queries in synthesised voice

Notifications that are delivered to users as soon as an event occurs

A collection of customer information such as contact details, demographics, previous interactions, etc.

Application programming interface that allows for integration with other systems/databases

For the intention to be used by developers

Process of dividing customers into groups based on common characteristics

System alerts about the need to escalate an issue or request

Tracks metrics that provide insight into how a user interacts with any interface or product