AI Governance Interface
AI Governance is Prisme.ai’s enterprise-grade platform for monitoring, managing, and securing your entire AI ecosystem. It provides comprehensive visibility across all workspaces, users, and activities, enabling organizations to implement effective governance policies while optimizing resource utilization and ensuring compliance.

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Key Features

Centralized Analytics

Track usage, performance, and costs across all AI products and workspaces

User Management

Manage permissions, roles, and access controls for all users

Workspace Management

Create, monitor, and control AI workspaces across the organization

Workspace Observability

Detailed visibility into interactions and performance of each workspace

Products Management

Administer all Prisme.ai products from a single dashboard

System Configuration

Customize platform appearance, languages, and global settings

News Management

Create and distribute announcements to all platform users

API Monitoring

Track API interactions and performance across the platform

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Who Uses AI Governance?

AI Governance is designed for teams responsible for managing, securing, and optimizing AI operations across the organization.
IT administrators use AI Governance to:
  • Manage user access and permissions
  • Monitor system performance and usage
  • Configure platform settings and integrations
  • Implement security policies and controls

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Core Capabilities

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Platform Analytics

Gain comprehensive visibility into your AI ecosystem with detailed analytics:
  • Usage Metrics: Track interactions, users, and activity patterns
  • Performance Monitoring: Measure response times and system efficiency
  • Cost Tracking: Monitor resource consumption and associated costs
  • Trend Analysis: Identify patterns and changes over time
  • Workspace Ranking: See which workspaces have the highest usage

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User and Permission Management

Implement robust access controls and user management:
  • User Administration: Create, edit, and manage user accounts
  • Role-Based Access Control: Define and assign roles with specific permissions
  • Group Management: Organize users into functional groups
  • Authentication Controls: Implement secure login policies
  • Activity Monitoring: Track user actions for security and compliance

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Workspace Management

Effectively manage and control all AI workspaces:
  • Workspace Creation: Create and configure new AI workspaces
  • Resource Allocation: Assign computing resources and set limits
  • Usage Monitoring: Track workspace activity and performance
  • Template Management: Create and apply workspace templates
  • Lifecycle Management: Control workspace activation and deactivation

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Workspace Observability

Gain deep insights into workspace activities and performance:
  • Interaction Tracking: Monitor events, API calls, and user interactions
  • Performance Metrics: Track execution times and resource utilization
  • Automation Monitoring: Observe automated processes and workflows
  • Graphical Analysis: Visualize workflows and interaction paths
  • Anomaly Detection: Identify unusual patterns or potential issues

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Product and Template Management

Administer all Prisme.ai products from a single interface:
  • Product Configuration: Manage settings for all Prisme.ai products
  • Integration Control: Configure connections between products
  • Template Administration: Create and manage templates across products
  • Deployment Management: Control product deployments and updates
  • Feature Enablement: Activate and deactivate product features

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Integration with Other Prisme.ai Products

AI Governance works seamlessly with all other Prisme.ai products:
  • AI Knowledge: Monitor agent usage, performance, and costs
  • AI SecureChat: Track conversations and resource utilization
  • AI Collection: Observe data processing and analysis activities
  • AI Insights: Integrate governance controls with conversation analysis
  • AI Store: Manage agent deployments and utilization

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Getting Started with AI Governance

1

Access AI Governance

Log in with administrator credentials to access the AI Governance dashboard.
2

Review analytics

Begin by exploring the Analytics dashboard to understand your current AI ecosystem.Pay special attention to overall interactions, user counts, and workspace rankings.
3

Manage users and permissions

Configure users, roles, and access permissions to ensure proper governance.Create appropriate roles and groups based on your organizational structure.
4

Configure workspaces

Set up and manage workspaces for different teams and use cases.Implement appropriate limits and monitoring for each workspace.

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Best Practices for AI Governance

Regular Audits

Schedule monthly governance reviews to ensure compliance

Role Standardization

Create standardized roles aligned with job functions

Usage Quotas

Implement appropriate usage limits to control costs

Monitoring Automation

Set up automated alerts for unusual activity

Documentation

Maintain up-to-date governance policies and procedures

Regular Training

Ensure administrators understand governance tools

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Next Steps

Explore more detailed guides for AI Governance features:

Analytics

Comprehensive usage and performance monitoring

User Management

Managing access controls and permissions

Workspace Management

Creating and administering AI workspaces

Workspace Observability

Monitoring workspace activities and performance

Product Management

Administering Prisme.ai products