The control layer becomes another boundary
A hosted control service can introduce another place where business context and execution evidence are processed. Your deployment model must account for that path.
Benefit / Efficiency & Deployment
The system that governs your AI
should run within your boundary.
Put Frozion in your cloud or data center. Keep your systems of record, choose the models that fit the work and define which connections are allowed to cross the deployment boundary.
Your infrastructure. Approved connections. The systems and models you choose.
FROZIONExecution FabricGoverned from request to outcome
- Place the execution fabric
Deploy in your data center or customer-controlled AWS, Azure or Google Cloud environment.
- Define the approved destinations
Connect identity, systems of record, model endpoints and evidence destinations according to your requirements.
- Govern the work across them
Keep authority, policy, context and outcomes connected as the application runs.
Placement is one decision. Every outbound data path is another.
01 / The challenge
You govern the AI.
Who governs where it runs?
A platform that mediates sensitive decisions becomes part of your operating boundary. Deployment location, model destinations and evidence storage should fit your organization’s requirements.
Model choice dictates the application
If a process is tightly tied to one model endpoint, changing privacy, region or task requirements can mean redesigning the surrounding work.
Placement gets mistaken for residency
Hosting in one region does not keep every connection there. Remote models, APIs and evidence destinations can move data across the boundary unless they are explicitly considered.
02 / How it works
Place the foundation.
Choose the connections.
Use your existing enterprise environment as the starting point. The deployment and its governed integrations become deliberate decisions you can review together.
Infrastructure that fits your requirements
Deploy Frozion in your data center or supported customer cloud environment. Align the placement with your network, identity, operational and data-handling requirements.
Model choices defined by the work
Use supported private and managed model routes according to each task’s eligibility rules. Keep classification, region and handling constraints ahead of availability and cost preferences.
Existing systems keep their records
Connect approved ERP, CRM, SaaS applications and APIs through defined integrations. Frozion coordinates the governed work while those systems retain their record-keeping responsibilities.
Evidence destinations are part of the plan
Decide where execution records and source payloads are retained, which references cross systems and who may inspect them. Include logging and support access in the deployment review.
03 / In practice
A clear boundary.
No hidden assumption about the next hop.
Explore three deployment planning views, each connecting an execution environment to its approved models, business systems and evidence destinations.
Your approved cloud or data-center environment
Frozion Execution Fabric
- Identity & authority
- Policy & review
- Workflows & context
- Connected evidence
Approved integrations · scoped identities · data-handling requirements
Agents & applicationsAuthorized work enters
Models & business systemsEligible destinations receive it
Evidence destinationsRetention and access are defined
Connected services may be inside or outside your environment. Review each actual data path.
Deployment planning views
Choose a deployment context to inspect what stays local and which connections need explicit approval.
Cloud deployment
Place governed execution in your environment.
Deploy in your customer-controlled AWS, Azure or Google Cloud environment. Connect enterprise identity and systems of record through approved integrations. A managed model remains a separate destination whose eligibility and handling terms must be reviewed.
Boundary decisions
- Execution
- Customer cloud environment
- Identity
- Approved enterprise identity integration
- Systems of record
- Approved ERP, CRM and APIs
- Model endpoints
- Private or managed · eligible per task
- Evidence
- Retention and access defined in the plan
Private deployment
Keep the execution foundation in your data center.
Use a private deployment where your infrastructure and network requirements call for it. A local model route can serve eligible tasks; any remote endpoint is still an explicit connection to evaluate. A private deployment is not, by itself, a claim of air-gapped operation.
Boundary decisions
- Execution
- Customer data center
- Model route
- Approved local endpoint where required
- Remote systems
- Only the integrations approved for the work
- Operations
- Access, updates and support responsibilities agreed
- Data handling
- Defined for each connection
EU-restricted example
Review the whole data path.
For an EU-restricted workload, plan the execution location, model route, connected business endpoints and evidence destinations together. An EU deployment that calls an unapproved overseas endpoint does not meet the same boundary merely because execution began in the EU.
Example requirements
- Execution location
- Approved EU environment
- Model endpoint
- Approved EU handling
- Business system
- Approved regional endpoint
- Evidence & logs
- Approved retention destinations
- Cross-boundary route
- Held unless permitted by the requirements
04 / By role
Keep control
where responsibility sits.
Infrastructure, security and business teams can plan deployment around their existing obligations and operating model.
CIO
Fit governed AI execution into the enterprise environment you already operate. Keep supported systems and model choices available as requirements evolve.
A foundation that fits your environment.CISO & privacy teams
Review placement, identities, data paths and evidence access together. Make the approved boundary explicit rather than inferring it from a hosting label.
A boundary you can examine.Infrastructure & platform teams
Plan the network, integrations and operational responsibilities before deployment. Make support and update access part of the same conversation.
A deployment with clear responsibilities.05 / Scope and questions
Your boundary.
An explicit operating plan.
Private deployment gives you placement control. A complete plan also defines the services used, the data they receive and the responsibilities for running the environment.
Deployment does not override provider terms
A managed model or remote API retains its own processing and retention terms. Eligibility rules must reflect those terms and the requirements of the task.
Portability is a planning requirement
Retain your systems of record and agree data retention, portability and exit requirements before deployment. Do not assume that infrastructure placement alone defines every export or migration capability.
Yes. Frozion supports deployment in your own cloud or data center. Choose the environment and operating arrangement that meet your requirements.
No. Review model endpoints, connected APIs, logs and evidence destinations as well as the execution location. The actual data path determines which boundaries are crossed.
Approved remote agents and systems can connect through defined integrations. Their identity, network reachability, resource permissions and data-handling constraints are part of that connection design.
Agree infrastructure ownership, updates, access, monitoring and support responsibilities as part of the deployment plan. The operating arrangement must match your organization’s requirements.
Start with one business process
Start with
the boundary you need to keep.
Bring your deployment, data-handling and integration requirements. We’ll map where Frozion runs, what it connects to and the operating responsibilities around it.