AI EXECUTION & GOVERNANCE
Give your teams AI that helps — while your company stays in control.
Quantivus Nexus turns approved AI assistants into reliable support for everyday work. Teams can find information, prepare tasks and take defined actions; your organization decides the boundaries, approvals and proof needed for each step.
- Model-neutral
- shared capability layer
- OAuth 2.1
- PKCE and scoped access
- Win · Linux · macOS
- outbound execution clients
One control plane across AI clients
ChatGPT and Codex, Claude, Gemini, local models and custom agents can consume the same governed capability layer. Changing the model does not require rebuilding identity, permission and audit controls.
- Authenticated MCP and API surfaces
- Workspace-scoped tokens and tool permissions
- Tenant, workspace, group and user context
- Consistent policy independent of the model
- Central customer and system administration
- Usage metering, quotas and subscriptions
Example: let a support agent help — without giving it broad system access
An IT team can allow an approved AI assistant to look up a device status and create a draft service request, but not change production settings. Nexus identifies the user and workspace, exposes only the approved semantic tools and records the exact policy, skill version and execution result.
- Give service-desk teams a narrow, task-specific tool profile
- Require approval before a sensitive or external action
- Keep model choice separate from access and execution policy
- Review what was requested, permitted and completed
Governed skills with immutable history
The effective skill definition is resolved by scope: user, group, workspace, tenant and global. Canonical skill edits and scoped assignments create immutable versions, so behavior cannot change silently.
- Canonical definitions with version snapshots
- Pinned versions or controlled update inheritance
- Partial overrides for rules, knowledge and tools
- Assignment revision history and restore-as-new-version
- Effective-skill preview for users and workspaces
- Separate tenant and central governance surfaces
Semantic tools before unrestricted control
Quantivus Nexus favors typed, bounded operations with explicit schemas. Capability profiles keep file, network, development, SaaS and desktop operations narrower than a generic remote shell.
- Standard visibility and safe operational profiles
- IT administration and developer profiles
- Git, .NET, Docker and GitHub capabilities
- Microsoft 365 and specialized enterprise adapters
- Explicitly privileged desktop operations only where required
- Independent file roots, network boundaries and credentials
Policy, approval and execution
Before execution, scopes, profiles, skill requirements, role restrictions and tenant policy narrow what is allowed. Sensitive actions can require explicit approval and are dispatched only to an approved runtime.
- OAuth 2.1 Authorization Code with PKCE
- Bearer validation and organization membership
- Policy and approval gates
- Windows, Linux and macOS Quantivus Tools clients
- Dedicated MCP providers and SaaS integrations
- Outbound connection without a public inbound customer port
Verification, audit and governed learning
Dispatch is not treated as success. Invocation state, terminal results and domain-specific postconditions can be tied to tenant, workspace, identity, exact skill version, tool and execution provider.
- Terminal-state and postcondition verification
- Attributable audit information
- SignalR presence, reconnect and live telemetry
- Traffic analytics and abuse detection
- Reviewable knowledge and skill-learning proposals
- No silent rewrite of production governance
Architecture and rollout
The platform is built on .NET 10 with separate API/MCP, customer portal, central administration, persistence and execution-client surfaces. SQL Server and Redis support multi-tenant distributed operation.
- Streamable HTTP MCP
- Customer portal and OAuth authorization UI
- EF Core tenant-aware persistence
- Health, observability and incident surfaces
- Build, smoke, vulnerability and secret scanning
- Rollout can begin with narrow profiles and expand by policy
MCP gateway, AI governance and controlled tool access
An MCP server exposes tools to an AI client. Quantivus Nexus, formerly QMCPProxy, adds a shared governance and execution layer for connecting AI assistants to approved tools and company systems. It addresses access policies, skill versions, approvals and auditability across clients.
- Connect AI assistants through controlled MCP and API interfaces
- Define which users and workspaces may execute which tools
- Assess identity, approval and audit requirements before expanding automation
FAQ
Questions, answered clearly
Scope, deployment and commercial terms are confirmed for your use case.
Is Quantivus Nexus tied to one AI vendor?
No. Its core purpose is to separate enterprise execution policy from model choice.
Do customer machines need an inbound MCP port?
No. Quantivus Tools clients establish authenticated outbound SignalR or WebSocket connections.
Can skills be different by team or user?
Yes. Resolution supports global, tenant, workspace, group and user assignments with immutable versions and controlled overrides.
Does a successful dispatch mean the task succeeded?
No. Quantivus Nexus models terminal results and domain-specific verification so dispatch alone is not reported as completed work.
How do I choose the right scope?
Start with one use case, the people involved and the evidence you need. In a demo, agree on integrations, access permissions and the operational scope before rollout.
NEXT STEP
Start with one useful AI workflow — and build confidence from there.
Bring one recurring task your team wants to improve. Together we define the helpful actions, the people involved and the safeguards needed before wider adoption.