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Welcome to Axoma, your unified AI orchestration and automation platform built to design, govern, deploy, and scale intelligent enterprise solutions. Axoma enables organizations to build advanced AI agents, manage model ecosystems, automate workflows, and enforce responsible AI practices all within a structured and centralized environment. The platform is designed around modular capabilities that support enterprise-grade governance, automation, and multi-agent intelligence. From model lifecycle management and safety governance to workflow orchestration and agent collaboration, Axoma empowers teams to build secure, scalable, and production-ready AI systems. This documentation serves as your guide to understanding Axoma’s architecture, navigating its modules, and maximizing its features to deliver smarter automation and AI-driven outcomes across your organization. Axoma Light Logo

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Platform Module Architecture

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Global Settings

Global Settings provide centralized administrative control over organizational structure, users, and platform-wide configurations. This area ensures secure governance, licensing management, and operational oversight across tenants and users.
  • Organization Settings – Configure organization-level preferences and system defaults.
  • Billing & Licensing – Manage subscription plans, usage tracking, and license allocation.
  • User Console – Create and manage users, roles, and permissions.
  • Tenant Management – Oversee multi-tenant structures and workspace configurations.
  • The AI Platform module governs the full lifecycle of AI models, ensuring operational performance, governance, and secure deployment.
  • Model Gateway – Centralized hub for connecting, managing, and routing AI model providers.
  • Model Safety & Governance – Configure responsible AI policies, guardrails, risk controls, and compliance settings.
  • Model Master – Maintain model catalogs, versions, configurations, and metadata.
  • Model Performance – Monitor model usage, accuracy, evaluation metrics, and performance insights.
  • Agent Studio is the development and orchestration environment for building intelligent agents and collaborative AI systems.
  • Agent Development – Create, configure, and deploy AI agents with tools, prompts, and capabilities.
  • Multi-Agent Orchestration – Design systems where multiple agents collaborate to perform complex tasks.
  • Tools & Integrations – Connect agents to enterprise systems, APIs, and external services.
  • Automation enables workflow design and operational task orchestration to streamline enterprise processes.
  • Workflow – Build automated workflows triggered by events, AI decisions, or integrations.
  • Schedules – Configure time-based automation, recurring tasks, and operational pipelines.

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Role-Based Feature Access

Axoma uses a role-based access control (RBAC) system to ensure secure, efficient, and responsibility-driven platform usage. There are three primary roles:
The Super Admin holds the highest level of authority within the Axoma platform. This role governs organizational settings, AI infrastructure, and system-wide configurations.Global Platform Governance
  • Manage Organization Settings
  • Control Billing & Licensing
  • Administer User Console and access rights
  • Create and manage tenants/workspaces
AI Platform Administration
  • Configure Model Gateway and provider connections
  • Define Model Safety & Governance policies
  • Manage Model Master catalog
  • Monitor Model Performance analytics
Agent & Automation Oversight
  • Access and oversee all Agent Studio modules
  • Review Multi-Agent orchestration systems
  • Manage Tools & Integrations globally
  • Monitor Automation workflows and schedules
System Governance
  • Enforce compliance policies
  • Maintain platform security controls
  • Configure system-wide integrations
  • Monitor operational health and activity
Super Admins act as platform governors, ensuring stability, security, and compliance across all environments.
Admins are responsible for operational configuration and AI solution development within a tenant or workspace.Agent Studio Management
  • Build and manage AI agents
  • Configure prompts, logic, and behaviors
  • Manage Multi-Agent workflows
  • Connect tools and external services
AI Platform Usage
  • Select and configure approved models
  • Monitor performance metrics
  • Apply governance policies defined by Super Admins
Automation Management
  • Create and maintain workflows
  • Configure automated schedules
  • Implement operational processes
Workspace Operations
  • Manage team-level access
  • Configure application settings
  • Oversee integrations and automation pipelines
Admins focus on execution, development, and operational delivery without full organization-level authority.
The User role is designed for individuals interacting with AI applications and agents without administrative privileges. Capabilities
  • Use AI applications and deployed agents
  • Interact with automation-driven systems
  • Access assigned workflows or processes
  • Manage personal profile and usage settings
  • Consume AI-powered features within allowed scope
Users operate within a secure, restricted interface that prioritizes usability while preventing system-level changes.
Each role is designed to interact with modules relevant to their responsibilities while maintaining system security and operational clarity.