Map the Workflow
Identify users, systems, documents, decisions, approvals, exceptions and required outcomes.
Deployment
Run AI Where Your Data and Operations Need It
Medha and MedhaOS can be arranged across cloud, private-cloud, hybrid and customer-controlled environments according to data sensitivity, integrations, identity systems, approved models and who needs to control the operation.
Start with the requirement
Let Work Define Boundaries
A regulated document workflow, an internal knowledge assistant and a public product feature do not have the same data, latency, integration or authority requirements.
Data Sensitivity
Decide what may leave customer infrastructure, what should be filtered and what must remain locally controlled.
Identity and Access
Connect the platform to customer roles, groups, tenants, service identities and approval authority.
Where Integrations Live
Choose where enterprise APIs, databases, document stores and execution tools should be accessed.
Approved Models
Select commercial or private model endpoints according to capability, policy and data requirements.
Operational Ownership
Define who monitors, updates, approves, interrupts and supports each deployed component.
Deployment choices
Choose the Right Boundary
The patterns can be combined. The exact arrangement should be confirmed against the workflow, security requirements and operating model.
Managed Cloud
Use tenant-isolated services with encryption, policy controls, observability and audit evidence.
Private Cloud
Use dedicated or customer-scoped infrastructure where stricter network, data or operational control is required.
Hybrid
Combine cloud reasoning or control with customer-side data handling, integrations and selected execution components.
Customer-Controlled Components
Keep sensitive-data processing, Edge Guard controls, connectors or selected services inside customer infrastructure.
Private Model Endpoints
Use approved local or privately hosted models where policy, latency or data boundaries require them.
Phased Migration
Begin with one bounded workflow and expand only after controls, evidence and ownership are verified.
How deployment is planned
Design Around Operating Needs
Start with the workflow and control requirements before choosing infrastructure products or model endpoints.
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Classify Data and Authority
Define sensitive information, retention, permitted actions and accountable decision owners.
Place the Components
Position reasoning, control, retrieval, memory, integrations and Edge Guard functions inside suitable boundaries.
Choose Models and Tools
Select endpoints, APIs and operations according to policy, capability, latency and cost.
Validate the Controls
Test identity, tenant isolation, route permissions, approvals, audit evidence and operational override.
Operate and Improve
Monitor quality, usage, exceptions, cost and control effectiveness before expanding scope.
Day-to-day operation
Plan Beyond Initial Deployment
Infrastructure choices are incomplete without monitoring, recovery, cost control and clear ownership after launch.
See What Is Happening
Monitor service health, reasoning and tool routes, policy outcomes, approvals, exceptions and model usage.
Keep the Evidence
Retain audit information according to customer policy, operational need and applicable obligations.
Control Changes
Review model, prompt, policy, tool, integration and infrastructure changes before production use.
Plan for Recovery
Define backup, restore, failover and graceful degradation for critical workflow components.
Manage Usage and Cost
Use model routing, semantic reuse, quotas and review to manage ongoing AI and infrastructure cost.
Keep an Override Path
Maintain interruption, rollback and kill-switch paths under authorised human control.
Adoption
Fit Deployment to Work
Deployment choices should be verified against data sensitivity, integrations, control requirements and operational ownership.
Fit the Workflow
Let the actual users, systems, data, approvals and operating constraints shape the topology.
Verify the Environment
Confirm infrastructure, identity, models, integrations and data boundaries before deployment.
Own the Operations
Keep monitoring, support, change control, recovery and override responsibilities explicit.
Continue exploring
Connect Deployment to Platform
Deployment choices should support governance and workflow responsibilities rather than exist as an isolated infrastructure diagram.
Architecture
See how Medha, MedhaOS, Edge Guard, enterprise systems and approved models relate.
Governance and Security
Review identity, tenant, policy, privacy, approval, audit and override controls.
MedhaOS
Explore the control plane around platform access, authority and execution.
Start with the operating need