Universal Content Manager
AI Productivity and Governance Platform
Govern, secure, and operationalise AI across people, teams, and agents.
The Universal Context Manager gives your organisation a unified foundation for AI — shared memory, policy enforcement, secure connections, and governed agents. All in one platform.
User
Personal AI memory and knowledge management for individual users.
- ✓ Personal workspace
- ✓ 1 repository
- ✓ Local & Remote MCP server
- ✓ API key access
Team
Shared AI for small businesses and growing teams. Free for up to 4 members.
- ✓ Organisation workspace
- ✓ Up to 4 members free
- ✓ External connections (SharePoint, Atlassian, GitHub)
- ✓ Policies & governance rules
- ✓ Team collaboration tools
Enterprise
Governed AI for regulated organisations. Full feature access from day one.
- ✓ Unlimited members
- ✓ Full policy engine & conversation tracking
- ✓ SSO / enterprise identity
- ✓ UCM Guardian — audit & compliance
- ✓ Custom pricing
Platform Features
Everything you need to govern AI at scale.
Memory & RAG
Context retention
Policy & Compliance
Governance rules
Team Spaces
Organised knowledge by team, function, and project
Model Agnostic
LLM independence
Chat Agents
AI assistants
Workflow Agents
Task automation
MCP Servers
Local & remote
Remote Connections
External access
SharePoint Integration
Native knowledge
AI Optimisation
Guidance that makes AI smarter, not just safer
Memory & RAG
Memory & RAG
Build on existing knowledge — connect once, remember forever.
The UCM connects to your existing knowledge sources — SharePoint, repositories, documentation — without migration. Context is structured by team, function, and use case, then automatically loaded into AI interactions based on user intent and role.
AI responses grounded in approved organisational knowledge reduce hallucinations and deliver consistent, accurate outputs. And unlike static prompts, context improves over time as artefacts are refined and reused.
- Connect to existing knowledge sources — no migration required
- Organise context by team, function, and project
- Auto-load the right context based on user intent and role
- Institutional memory that survives team turnover
Context loaded
Active policies
Policy & Compliance
Policy & Compliance
Turn AI policies into automatic compliance — no user intervention required.
Stop relying on users to remember governance rules. The UCM converts your existing policy documents into enforceable, machine-readable rules that are automatically injected into every AI interaction.
Policies are applied in real time, guiding AI behaviour without disrupting workflows. Every conversation is logged, creating the audit foundation your organisation needs for compliance and risk management.
- Digitise existing governance policies into enforceable rules
- Automatic injection into every AI conversation — zero user friction
- Context-aware policy targeting: apply rules to specific teams, agents, or repositories
- Comprehensive conversation logging for UCM Agents
Team Spaces
Team Spaces
Turn individual AI use into shared organisational capability.
Team Spaces give every team, function, and project their own organised knowledge environment within the UCM. Shared artefacts, approved agents, and versioned prompts mean teams stop reinventing the wheel and start building on each other's work.
New team members inherit accumulated knowledge from day one. Consistent, high-quality AI outputs come from proven shared templates — not individual prompt engineering.
- Shared spaces for AI artefacts and workflows — break down silos
- Versioning and reuse of successful prompts across teams
- New team members get up to speed faster through inherited knowledge
- Approved agents operating safely within policy guardrails
Workspaces
Connected models
Model Agnostic
Model Agnostic
LLM independence — govern any model with one platform.
The UCM is not tied to any AI vendor. Connect seamlessly to Claude, ChatGPT, Microsoft models, or deploy local and sovereign models — and switch between them as the landscape evolves.
One workflow might use Claude, another GPT, tomorrow something new. Utaba governs underneath, not on top. Your AI strategy stays future-proof without rewriting your entire stack every time a new model emerges.
- Connect to Claude, ChatGPT, Azure OpenAI, Gemini, and local/sovereign models
- No vendor lock-in — switch models as pricing and performance shift
- One governance layer applies consistently regardless of model
- Supports Copilot Studio, GitHub Copilot, Manus, Teams, and more
Chat Agents
Chat Agents
AI assistants grounded in your organisation's knowledge.
Deploy governed AI chat agents that answer questions, draft content, and assist teams — grounded in your real organisational knowledge and constrained by your policies.
Unlike public AI tools, UCM chat agents operate within your defined boundaries. They know your business, respect your governance rules, and log every conversation. Deploy them across Microsoft Teams, SharePoint, or the UCM's built-in chat interface.
- Chat agents grounded in approved organisational knowledge
- Policies automatically injected — no shadow AI risk
- Multi-channel deployment: Teams, SharePoint, UCM Chat, OpenWebUI
- Conversation logging from day one
Agent sessions
Task log
Workflow Agents
Workflow Agents
Task automation — deploy agents that scale productive work, not risk.
Workflow agents execute defined tasks autonomously — processing documents, enriching metadata, triggering actions across connected systems — all within UCM's governance guardrails.
Service accounts enable background processing that runs on schedule or on event. From enriching SharePoint document libraries to orchestrating multi-step business processes, workflow agents deliver automation with built-in policy control.
- Autonomous task execution within policy guardrails
- Service accounts for background and scheduled processing
- Integrates with SharePoint, Jira, and external systems
- From 1-day quick-win automations to full multi-agent workflows
MCP Servers
MCP Servers
Local & remote — the open standard for AI tool connectivity.
The UCM supports the Model Context Protocol (MCP) — the emerging open standard that lets AI agents discover and use tools dynamically. Run MCP servers locally for development, or connect to remote MCP servers hosted by any provider.
Through the UCM's Unified Connection Gateway, AI agents access dozens of enterprise tools through lightweight proxy connections — keeping the AI's context window efficient regardless of how many systems are connected.
- Local MCP server for development and self-hosted deployments
- Remote MCP server for cloud and enterprise access
- Unified Connection Gateway — connect dozens of tools without context overhead
- Full tool schemas loaded on demand, not upfront
Active connections
Connected systems
Remote Connections
Remote Connections
External access — connect your enterprise systems without disrupting existing workflows.
The UCM's Unified Connection Gateway connects AI agents to your existing enterprise systems — SharePoint, Jira, Confluence, GitHub, and any MCP-compatible service — through a single, governed access layer.
Connections are managed centrally with fine-grained permissions. AI agents only access the systems and data they are authorised to use. Instructions and policies can be applied directly to each connection, giving you precise control over how AI agents interact with each system. Full tool schemas are loaded on demand, keeping conversations efficient and cost-effective at scale.
- Single access layer for all enterprise system connections
- Supports SharePoint, Jira, Confluence, GitHub, and custom MCP servers
- Fine-grained permission control per connection
- Apply instructions and policies per connection — govern and optimise AI behaviour at the connection level
- Scales to dozens of connections without degrading AI performance
Guidance in action
AI Optimisation
AI Optimisation
Guidance that makes AI smarter, not just safer.
Out of the box, an AI assistant knows nothing about your specific environment. It doesn't know your Atlassian tenant ID, how your SharePoint libraries are organised, or which project keys your teams use. It has to figure these things out through trial and error — wasting time, sometimes making avoidable mistakes.
UCM lets you encode that institutional knowledge once, at the right level — a connection, an agent, a team, or your whole organisation — so it is delivered automatically to every relevant AI interaction.
- Attach guidance at any level: organisation, team, agent, or connection
- Pre-load identifiers and context so the AI does not need to discover them each time
- Correct known model behaviour for specific tools or services
- Reduce unnecessary steps — guidance replaces trial and error
- Works alongside governance policies — optimisation and compliance in one system