Bring AI tools, models, company knowledge, and autonomous workflows into one company control plane. Give your teams room to work—and your enterprise a clear view of usage, risk, and control.
Visibility across connected toolsPolicies tied to your companyOpen integration architecture
Familiar tools. A governed connection.
Approved AI tools
Claude Code
Codex
Cursor
Cowork
ChatGPT
Others
Microsoft Copilot
GitHub Copilot
Google Gemini
Perplexity
n8n
Super Amplify
Company identity, policies, approved context, and oversight.
AI gatewayModel access + routing
MCP / tool gatewayScoped knowledge + actions
Approved models
Provider choice within policy
Company knowledge + tools
Only the permitted context and actions
Reference architecture, not a live connection. Client compatibility and control coverage are confirmed for your deployment.
See the control plane
A clear picture of enterprise AI.
Take a guided tour, explore the dashboard, and follow an activity from context to decision. Choose the scenario that matters to your team, then request a demo around your priorities.
Super Amplify
AI Governance
Example CompanyFictional · Read only
Choose an enterprise priority, then step through how scope, evidence, decisions, and review work together.
What would you like to explore?
Choose a priority. Walk through four steps at your own pace.
1Scope
2Observe
3Decide
4Review
Review AI risk · Step 1 of 4 · Scope
Start with the tool, the team, and the policy.
Define which activity belongs to your company and the control boundary that applies. In this example, a research assistant uses the governed Gateway.
Connect every investigation to an application identity and company scope.
Sample investigation scope
Scope selected
Application
Research assistant
Custom app through the Gateway
Company
Example Company
Fictional company workspace
Policy
Outbound allowlist
Permitted destinations are defined
Fictional walkthrough. These controls change the example only; they do not connect, pause, or modify any app.
Interactive product previewChoose a scenario and use Next to explore
Fictional sample data. Available telemetry and control depend on each tool’s integration and your company’s settings.
See the activity
Understand reported usage, tools, and connection health.
Understand the risk
Review policy decisions, permitted context, and visibility gaps.
Manage the response
Set policies and verify how connected applications apply them.
Breadth without fragmentation
Six capabilities. One governance experience.
A shared operating view for IT, security, engineering, finance, and business leaders—from access and model usage to context, action, and company rollout.
Know who has access
Connect people, applications, and agents to company-scoped identity and policies.
Company and application permissions
Scoped credentials and access revocation
Enterprise identity integration, agreed for your environment
See usage and spend
Bring model activity into view so teams can understand where AI resources go.
Reported input, output, and cache tokens
Provider usage and estimated cost
Model routing and configured runtime budget policies
Understand the context
Connect company knowledge with the permissions and source references behind the work.
Permission-aware retrieval and approved knowledge
Separate personal and company context
Policy-controlled prompts, responses, and context references
Control the next action
Apply policy to managed requests and make consequential actions reviewable.
Allow and deny decisions on governed paths
Pause, quarantine, and disable policies
Human approval in supported execution workflows
Review activity and risk
Give security and operations one place to investigate activity and gaps in visibility.
Attributable activity, decisions, and risk findings
Redacted, encrypted content capture where supported
Evidence exports and signed webhook delivery
Roll out with confidence
Connect a company through an approved onboarding path, then verify each deployment.
Employee enrollment and administrator approval
Background connectors, local queues, and service health
Company deployment packages and staged qualification
The strength of the platform
Connect knowledge. Choose models. Govern execution.
Super Amplify brings governance together with the capabilities teams need to put AI to work across the business.
Company knowledge
Approved documents, organization context, and permission-aware retrieval.
The right context for the task
Model Factory
Provider choice, model routing, and visibility into reported usage and cost.
Model access within policy
Agent execution
Autonomous workflows with run visibility, checkpoints, and supported approval gates.
Reviewable work from start to finish
Governance control plane
Company policies, application identities, activity records, and risk oversight.
One place to understand control
Company context, model activity, and autonomous workflows in a connected operating model.
Connect approved tools through the integration path that fits the environment. Combine model access, company knowledge, and application telemetry under a shared governance model.
01
Central AI gateway
Configured model-request paths check identity, policy, model permissions, and runtime budgets; supply approved context; route to approved providers; and record governed activity.
02
MCP and tool gateway
Company knowledge and business actions are exposed through permission-aware retrieval and approved tools. Sensitive actions can require human approval before execution.
03
Native integrations where useful
Configuration packages, connectors, or extensions make supported clients easier to use. They improve the experience without becoming the only place governance lives.
Gateways enforce. Webhooks report.
Live authorization, model routing, streaming, and tool results belong in synchronous gateways or APIs. Events can then flow to archives, SIEM, analytics, and downstream workflows. An event notification is not a substitute for blocking an unauthorized request.
Enterprise foundations
Control you can inspect. Access you can explain.
Company boundaries, scoped permissions, controlled capture, and reviewable evidence are part of the operating model. Integration coverage is verified for your environment.
Company-bound access
Tie applications and employee connections to the right company, identity, and scope.
Controlled data capture
Choose what supported integrations may capture, with redaction and encrypted content storage.
Reviewable evidence
Inspect decisions, source reports, receipt checks, and unknown coverage in the same view.
Open integration paths
Connect through APIs, SDKs, MCP, supported hooks, and authenticated webhook delivery.
Super Amplify’s governed layer
Identity, model allowlists, approved context, and tool permissions
Policy checks and approvals on managed request paths
Governed activity records, retention, archiving, and usage visibility
Client and endpoint controls
The user interface, editor, and local project experience
Local files, execution, secret scanning, and repository controls
Device management, network egress, and prevention of unmanaged bypass paths
Approved access
Fully governed
Clients that meet the agreed identity, gateway, tool, audit, and data-handling requirements can receive their approved model, context, and tool access.
Restricted access
Partially governed
Where control coverage is limited, restrict use to non-sensitive projects, exclude confidential source code and organization memory, and limit available tools.
No company data
Unmanaged
Clients that cannot meet minimum controls are blocked from company data and enterprise tools. Tool choice does not mean unrestricted access.
Supported clients, versions, plans, identity protocols, SCIM provisioning, and deployment methods are confirmed during scoping. Product names identify their respective owners, not an endorsement or partnership.
From the first employee to the wider company
A practical path to enterprise rollout.
Start with one team, establish the evidence, and expand with the right identity, device, and operational controls. We work with your administrators through design, integration, and qualification.
01
Define the boundary
Review your AI stack, identity provider, data classifications, devices, and security requirements. Agree platform compatibility, control ownership, and a pilot success scorecard.
02
Prove one governed connection
Start with one team and one approved platform. Configure identity, model access, the gateway, and audit events, then verify onboarding and revocation.
03
Connect context and actions
Add scoped company knowledge, managed tools, and approval workflows. Test the permitted paths and the actions that should be denied.
04
Expand with evidence
Extend to more teams and approved clients. Add the agreed provisioning, device management, SIEM, retention, and departmental controls, and review usage and cost.
Agree what success looks like.
Before expanding, verify that users can connect through company identity, receive only permitted capabilities, and leave an attributable record for governed requests under the agreed archival policy.
Do we have to replace the AI tools our teams already use?
Not necessarily. The service is designed to preserve familiar client experiences while connecting approved capabilities to a governed enterprise layer. Claude Code, Codex, Cursor, Cowork, and other tools can be assessed for your environment. Supported features, versions, plans, and integration depth are confirmed during scoping; these names are not a promise of universal, prebuilt connectors.
Does an approved tool get access to all our company knowledge?
No. Organization knowledge is exposed through scoped, permission-aware retrieval. Personal and company context remain separate and permissioned. The governed request receives the context needed for the task, rather than a blanket copy of your organization's knowledge.
What does the gateway control, and what stays on the endpoint?
Central controls apply to requests and tools routed through the managed services. The client still owns its interface and local editor experience. Local files, execution, and direct-provider or other bypass paths also require client, endpoint, and network policies. A gateway or event webhook alone does not control every action on a desktop.
How are logging, retention, and provider data use handled?
We agree what is captured, redacted, retained, archived, and exported for your deployment. Provider and client data-use terms, including model training restrictions, are part of the approval process. Logging can include prompts, responses, tools, and usage under that policy; it is not a blanket promise to capture sensitive content or retain everything indefinitely.
How do we get started?
Bring your current AI tools, team structure, identity setup, and governance priorities. We will help define a focused pilot, its integration scope, the control owners, and the evidence needed before expanding. Delivery scope and commercial terms are agreed for your organization.
Explore with MyAgent
Talk through your enterprise AI priorities.
Ask about the platform, map a workflow, or prepare a governance conversation. Our public assistant can help you explore a starting point and request follow-up.
Build your enterprise AI operating model
Bring your AI stack. We’ll help you govern it.
Show us your tools, teams, knowledge, and workflows. We’ll map the integrations, define the control boundaries, and shape a focused pilot with clear success measures.