Overview

AI Studio is a centralized environment for building, managing, and governing enterprise AI.

It brings together AI Agents, intelligent workflows, enterprise integrations, communication channels, and governance capabilities in one place, enabling organizations to introduce AI-powered automation while maintaining control over security, data privacy, access, performance, and costs.

AI Studio is designed for both Builders, who create and configure intelligent automation, and IT Administrators, who manage its availability, security, performance, and governance.

By combining the flexibility of Agentic AI with the reliability of deterministic workflows, AI Studio helps organizations move beyond isolated AI experiments and deliver scalable, controlled, and cost-efficient AI-powered services.

What Can You Do with AI Studio?

• Build and manage AI Agents that understand requests, make decisions, and perform tasks using enterprise tools and information.
• Design intelligent workflows that combine AI reasoning with predictable, controlled automation.
• Connect enterprise systems using integrations and Model Context Protocol (MCP) tools.
• Deliver AI through multiple channels, including Microsoft Teams and web-based experiences.
• Configure agent behavior and access to define how agents operate, what they can do, and who can interact with them.
• Test, version, and publish agents and workflows to introduce changes in a controlled manner.
• Monitor agent performance and activity, identify issues, and understand how AI is being used.
• Manage budgets and AI consumption with detailed cost and token usage analytics.
• Control data privacy and retention through centralized tenant settings and configurable data-sharing policies.
• Maintain operational visibility and auditability through activity monitoring, execution records, and change tracking.

A Unified Workspace for Enterprise AI

AI Studio provides a single environment for managing the complete lifecycle of enterprise AI, from initial creation and configuration to deployment, monitoring, and optimization.

Rather than managing agents, workflows, integrations, and operational settings separately, Builders and Administrators can work within a consistent interface.

AI Studio Home – Stay Informed and in Control

The AI Studio Home page provides an overview of the AI environment and highlights information that may require attention.

It brings together operational notifications, budget information, and relevant updates, allowing users to quickly identify issues and navigate to the corresponding areas.

A built-in AI Studio Assistant provides a conversational way to interact with the environment.

For example, users can ask:

• What needs my attention?
• How are we doing this month?
• Help me set up my first agent.

This reduces the effort required to navigate between different administration and monitoring screens.

Build and Manage AI Agents

AI Studio provides a dedicated workspace for creating, configuring, deploying, and managing AI Agents that support enterprise business processes.

Agents can be designed for scenarios such as IT support, employee onboarding, password reset assistance, or other service management activities.

Builders can configure how agents interact with users, what information they use, and which tools or workflows they can execute.

Agent Workspace

The Workspace provides an overview of available AI Agents and their operational status.

It helps Builders and Administrators understand:

• Which agents are currently live, failing, or not yet published.
• How frequently agents are used.
• How many users interact with them.
• How helpful their responses are, based on available feedback.
• How much AI consumption and associated cost they generate.

The Workspace highlights potential problems requiring attention, such as failed deployments, missing channel assignments, restricted access, or declining response quality.

It also provides:

• Conversation trends: Visualize the volume of conversations over time and compare activity across agents.
• Agent performance comparison: Review agents side by side, including their status, conversation volume, helpfulness ratings, costs, and recent modifications.
• Recent changes: Track important events, such as agent publication and deployment.

These insights make it easier to identify agents that require attention and understand the overall adoption and effectiveness of AI-powered services.

Agent Overview – Everything About Your Agent in One Place

Each AI Agent has a dedicated overview that brings together its configuration, deployment status, user activity, and operational performance.

This provides Builders and Administrators with a complete picture of how an individual agent is configured, where it is available, and how effectively it performs.

The Agent Overview includes:

Operational status and deployment

See which version of the agent is currently active, whether unpublished changes exist, and which AI model is being used.

Usage and performance

Monitor key metrics for the selected period, including:

• Number of conversations.
• Number of people interacting with the agent.
• Percentage of responses rated as helpful.
• AI consumption costs.
• Conversation trends over time.

Agent configuration

Access the configuration areas that define how the agent operates:

Channel availability

Understand where the agent is currently available and access its configured chat experience.

Testing and publishing

Use the Test Chat capability to validate agent behavior before making changes available to users.

Once the configuration is ready, the agent can be published through a controlled deployment process.

This brings together agent development and operational management in one consistent experience.

Design Intelligent Workflows

AI Studio enables organizations to combine Agentic AI with deterministic workflow execution.

While AI Agents can interpret requests, reason about information, and select appropriate actions, workflows provide structured execution paths for specific business operations.

This combination allows organizations to introduce intelligent automation without losing control over how critical processes are performed.

Visual Workflow Designer

The visual workflow editor allows Builders to define automation logic using connected steps and execution paths.

Workflows can include:

• AI Nodes: Use AI reasoning to interpret information, make decisions, or determine the next action.
• Tool Calls: Execute available operations through connected enterprise tools.
• Conditional execution paths: Direct execution based on outcomes and predefined conditions.
• Defined completion states: Specify how a workflow concludes or escalates a request.

For example, a password reset workflow can gather information about the user’s issue, determine whether additional actions are required, and initiate an appropriate support operation.

Testing, Versioning, and Publishing

AI Studio supports a controlled workflow lifecycle.

Builders can work with drafts, test workflow behavior, and publish versions when changes are ready.

Version comparison helps identify modifications between published workflows and current drafts, including changes to instructions, execution logic, and workflow structure.

This provides greater transparency and makes it easier to understand the potential impact of modifications before publishing.

Connect AI to Enterprise Systems and Channels

AI becomes more valuable when it can interact with enterprise applications and perform meaningful operations.

AI Studio brings together integrations, tools, and communication channels so organizations can connect AI-powered automation with their existing business environment.

Enterprise Integrations and MCP

Through integrations and Model Context Protocol (MCP), AI Agents can access available tools and interact with connected enterprise systems.

This enables agents to move beyond answering questions and support operational scenarios, such as retrieving information, initiating requests, or executing predefined actions.

Administrators can govern access to available capabilities to ensure that AI Agents operate within appropriate organizational boundaries.

Communication Channels

AI Studio enables organizations to deliver AI-powered experiences through channels familiar to their employees.

These include Microsoft Teams and web-based interfaces.

By separating the configuration of AI Agents from the channels through which they are accessed, organizations can reuse intelligent automation across different user experiences.

Monitor AI Usage, Performance, and Costs

As AI adoption grows, organizations need visibility into how AI capabilities are used, how effectively they operate, and what they cost.

AI Studio includes monitoring and governance capabilities that help organizations understand and manage their AI environment.

Agent Performance Monitoring

AI Studio provides operational insights at both the workspace and individual agent levels.

At the workspace level, organizations can monitor the overall health of their AI environment and compare activity across available agents.

At the individual agent level, Builders and Administrators can review conversation volumes, user engagement, helpfulness ratings, and associated costs.

This information helps organizations identify:

• Agents with growing adoption.
• Agents requiring configuration or quality improvements.
• Deployment or availability issues.
• Changes in usage and operational costs.

By combining configuration and performance information, AI Studio makes it easier to continuously improve AI-powered services.

Usage Analytics

The Usage area provides detailed insights into AI consumption and associated charges.

Administrators can analyze usage across different dimensions, including:

• Departments
• AI Agents
• Workflows
• Channels
• Individual users
• AI models

Usage can be examined over different periods, with visibility into token consumption, included allowances, and additional charges.

AI Studio also highlights notable changes in consumption, helping administrators identify unexpected costs, unusual activity, or areas requiring attention.

Usage information can be exported for further analysis.

Budget Management

AI Studio provides budget visibility to help organizations maintain control over AI spending.

Administrators can monitor consumption against defined budgets and understand how costs develop over time.

This helps organizations adopt AI responsibly while balancing functionality, performance, and operational expenses.

Activity Monitoring and Audit

The Activity area provides access to operational information about the AI environment, including usage, audit information, and execution runs.

These capabilities help administrators investigate behavior, understand execution history, and maintain oversight of AI-powered operations.

Enterprise AI Governance and Administration

AI Studio provides centralized administration capabilities to help organizations manage enterprise AI securely and responsibly.

Administrators can configure access, privacy policies, retention settings, and operational controls at the tenant level.

Access and Role Management

AI Studio includes dedicated administration areas for managing:

• People: Manage users who can access the AI environment.
• Service Accounts: Support integrations and automated operations using dedicated service identities.
• Roles: Define administrative and operational responsibilities.
• Role Assignments: Assign available roles to the appropriate identities.

These capabilities support controlled access to AI Studio and its resources.

Data Privacy and Regional Control

AI Studio provides centralized privacy settings that allow organizations to control how data is processed and shared across AI services.

The Privacy administration area displays available data-sharing controls, their current state, and an explanation of what data is released when each option is enabled.

Privacy controls cover different areas of the environment, including:

Model endpoints

Control whether requests to AI model endpoints may be processed outside the configured region.

AI-assisted authoring

Manage the availability of AI assistance for creating and configuring workflows.

AI Studio Assistant

Control the availability of the conversational administration assistant and the data it can access.

Communication channels

Configure how messages are routed between communication channels and the AI infrastructure, including available relay options.

Model providers and workflows

Review applicable privacy controls associated with configured model providers and workflow execution.

By making these controls visible in one place, AI Studio helps organizations understand where data may be processed and apply appropriate data-handling policies.

Changes to privacy settings are subject to the corresponding administrative permissions.

Tenant Settings and Data Retention

AI Studio provides tenant-level settings for managing operational policies and data retention.

Administrators can view tenant information, including its identifier, region, and operational state.

Configurable retention periods cover different categories of information, including:

These settings help organizations align AI operations with internal data-management and retention requirements.

The Tenant Settings area also provides visibility into usage allowances and operational limits, including request limits configured by Matrix42.

Operational Administration

AI Studio includes administration capabilities for managing the underlying AI infrastructure and operational environment.

Dedicated areas provide access to:

• Deployments: Manage the deployment of AI capabilities.
• Edge Nodes: Manage infrastructure components supporting AI execution.
• Tenant Settings: Configure tenant-wide operational policies and settings.

These capabilities complement the agent-level configuration and monitoring features available to Builders.

AI Studio and Neo Agentic Assistant

AI Studio and Neo Agentic Assistant serve complementary purposes within the Matrix42 AI ecosystem.

AI Studio is where enterprise AI capabilities are built and governed. Neo Agentic Assistant is one of the experiences through which users benefit from AI-powered assistance.

Why Use AI Studio?

AI Studio helps organizations establish a structured approach to enterprise AI adoption.

Accelerate AI development

Enable Builders to create intelligent automation using reusable agents, workflows, and enterprise integrations.

Reduce operational complexity

Manage AI capabilities through a common environment rather than disconnected tools and configurations.

Improve AI reliability

Combine AI reasoning with deterministic workflows, controlled deployments, and operational monitoring.

Maintain enterprise control

Manage access, data privacy, retention policies, and operational settings through centralized administration.

Optimize AI spending

Understand consumption across the organization and use budgets and analytics to manage costs.

Improve transparency and accountability

Monitor AI activity, track changes, and maintain visibility into how AI-powered services operate.

Scale AI adoption

Make intelligent automation available across business processes and interaction channels while maintaining consistent governance.

Summary

Matrix42 AI Studio provides a unified foundation for building, operating, and governing enterprise AI.

It empowers Builders to create intelligent agents and workflows while giving IT Administrators the visibility and controls needed to operate AI securely and cost-effectively.

By combining Agentic AI, deterministic automation, enterprise connectivity, centralized governance, and operational monitoring, AI Studio helps organizations transform AI from isolated use cases into scalable, controlled, and cost-efficient enterprise automation.