Deployment
A practical path from one workflow to an operating layer.
Choose the deployment path, governance depth, and operating scope that match your enterprise environment and ambition.
Cloud
Private
Hybrid available
Hybrid available
Pilot
For one high-value workflow with clear outputs and human review.
workflow
What’s included
Approved context setup
Workflow configuration
Human approval gate
Audit-ready run logs
Expansion plan
Scale
Popular
For multiple teams standardizing reusable agent workflows on one governed platform.
teams
What’s included
Multiple workflows
Reusable workflow packs
SSO and role controls
Model routing
Production observability
Production observability
Enterprise
For company-wide agent operations with private infrastructure and advanced governance.
company-wide platform
What’s included
Private or hybrid deployment
Local model support
Granular ACE permissions
Controlled write-back
Dedicated support
Dedicated support
Cloud
Private
Hybrid available
Hybrid available
Pilot
For one high-value workflow with clear outputs and human review.
workflow
What’s included
Approved context setup
Workflow configuration
Human approval gate
Audit-ready run logs
Expansion plan
Scale
Popular
For multiple teams standardizing reusable agent workflows on one governed platform.
teams
What’s included
Multiple workflows
Reusable workflow packs
SSO and role controls
Model routing
Production observability
Production observability
Enterprise
For company-wide agent operations with private infrastructure and advanced governance.
company-wide platform
What’s included
Private or hybrid deployment
Local model support
Granular ACE permissions
Controlled write-back
Dedicated support
Dedicated support
Cloud
Private
Hybrid available
Hybrid available
Pilot
For one high-value workflow with clear outputs and human review.
workflow
What’s included
Approved context setup
Workflow configuration
Human approval gate
Audit-ready run logs
Expansion plan
Scale
Popular
For multiple teams standardizing reusable agent workflows on one governed platform.
teams
What’s included
Multiple workflows
Reusable workflow packs
SSO and role controls
Model routing
Production observability
Production observability
Enterprise
For company-wide agent operations with private infrastructure and advanced governance.
company-wide platform
What’s included
Private or hybrid deployment
Local model support
Granular ACE permissions
Controlled write-back
Dedicated support
Dedicated support
Compare the operating scope behind each deployment program.
Pilot
1
workflow
Scale
2
teams
Enterprise
1
company-wide platform
Platform foundation
Workbench access
Included
Included
Included
Library context
Selected scope
Multiple domains
Enterprise-wide
Studio workflows
One workflow
Multiple workflows
Portfolio scale
Admin control
Governance
File and folder permissions
Included
Included
Included
Human approval gates
Enterprise SSO
Audit and observability
Controlled write-back
Selected actions
Multiple systems
Policy-based
Cloud deployment
Deployment
Azure deployment
Optional
Available
Available
On-premises or hybrid
Local model support
Support
Workflow design
Reusable packs
Solution architecture
Partner-led delivery
Available
Pilot
1
workflow
Scale
2
teams
Enterprise
1
company-wide platform
Platform foundation
Workbench access
Included
Included
Included
Library context
Selected scope
Multiple domains
Enterprise-wide
Studio workflows
One workflow
Multiple workflows
Portfolio scale
Admin control
Governance
File and folder permissions
Included
Included
Included
Human approval gates
Enterprise SSO
Audit and observability
Controlled write-back
Selected actions
Multiple systems
Policy-based
Cloud deployment
Deployment
Azure deployment
Optional
Available
Available
On-premises or hybrid
Local model support
Support
Workflow design
Reusable packs
Solution architecture
Partner-led delivery
Available
Pilot
Scale
Enterprise
Pilot
1
workflow
Platform foundation
Workbench access
Included
Library context
Selected scope
Studio workflows
One workflow
Admin control
Governance
File and folder permissions
Included
Human approval gates
Enterprise SSO
Audit and observability
Controlled write-back
Selected actions
Cloud deployment
Deployment
Azure deployment
Optional
On-premises or hybrid
Local model support
Support
Workflow design
Reusable packs
Solution architecture
Partner-led delivery
Frequently asked questions.
Learn how BasilAOS connects enterprise context, governed execution, deployment, and approved learning. Still evaluating? Talk to contact@basilos.ai.
General
Getting Started
Platform
Integrations
Security and Governance
Where should an enterprise begin?
Begin with one frequent, context-heavy workflow that has a concrete output, an identifiable owner, an existing review point, and a measurable baseline. The first deployment should also create connectors, permissions, templates, and evaluation assets the next workflow can reuse.
What makes a good first workflow?
A good first workflow is valuable enough to matter and bounded enough to govern. It usually crosses several sources, produces a report, diagnosis, proposal, record, or approved action, and has clear measures such as turnaround time, effort, error rate, or service capacity.
How much data preparation is required?
It depends on the workflow. BasilAOS can begin with selected folders, records, systems, and business rules rather than a company-wide data migration. The important work is defining authoritative sources, permissions, metadata, and the context needed for the chosen outcome.
Can BasilAOS work with cloud and local models?
Yes. Admin can manage model groups across cloud APIs and local serving. Enterprises can route tasks to approved models based on capability, sensitivity, cost, latency, or infrastructure requirements.
Can employees use local files?
Yes. BasilAOS supports in-chat uploads and encrypted two-way synchronization between selected local folders and approved agent cloud resources, with scope, read-only state, and agent permissions visible.
Can agents write back to business systems?
Yes, when the connector and workflow are configured for it. Write-back should be limited by identity, permissions, validation, policy, approval gates, and audit rather than enabled as an unrestricted agent capability.
Frequently asked questions.
Learn how BasilAOS connects enterprise context, governed execution, deployment, and approved learning. Still evaluating? Talk to contact@basilos.ai.
General
Getting Started
Platform
Integrations
Security and Governance
Where should an enterprise begin?
Begin with one frequent, context-heavy workflow that has a concrete output, an identifiable owner, an existing review point, and a measurable baseline. The first deployment should also create connectors, permissions, templates, and evaluation assets the next workflow can reuse.
What makes a good first workflow?
A good first workflow is valuable enough to matter and bounded enough to govern. It usually crosses several sources, produces a report, diagnosis, proposal, record, or approved action, and has clear measures such as turnaround time, effort, error rate, or service capacity.
How much data preparation is required?
It depends on the workflow. BasilAOS can begin with selected folders, records, systems, and business rules rather than a company-wide data migration. The important work is defining authoritative sources, permissions, metadata, and the context needed for the chosen outcome.
Can BasilAOS work with cloud and local models?
Yes. Admin can manage model groups across cloud APIs and local serving. Enterprises can route tasks to approved models based on capability, sensitivity, cost, latency, or infrastructure requirements.
Can employees use local files?
Yes. BasilAOS supports in-chat uploads and encrypted two-way synchronization between selected local folders and approved agent cloud resources, with scope, read-only state, and agent permissions visible.
Can agents write back to business systems?
Yes, when the connector and workflow are configured for it. Write-back should be limited by identity, permissions, validation, policy, approval gates, and audit rather than enabled as an unrestricted agent capability.
Frequently asked questions.
Learn how BasilAOS connects enterprise context, governed execution, deployment, and approved learning. Still evaluating? Talk to contact@basilos.ai.
Where should an enterprise begin?
Begin with one frequent, context-heavy workflow that has a concrete output, an identifiable owner, an existing review point, and a measurable baseline. The first deployment should also create connectors, permissions, templates, and evaluation assets the next workflow can reuse.
What makes a good first workflow?
A good first workflow is valuable enough to matter and bounded enough to govern. It usually crosses several sources, produces a report, diagnosis, proposal, record, or approved action, and has clear measures such as turnaround time, effort, error rate, or service capacity.
How much data preparation is required?
It depends on the workflow. BasilAOS can begin with selected folders, records, systems, and business rules rather than a company-wide data migration. The important work is defining authoritative sources, permissions, metadata, and the context needed for the chosen outcome.
Can BasilAOS work with cloud and local models?
Yes. Admin can manage model groups across cloud APIs and local serving. Enterprises can route tasks to approved models based on capability, sensitivity, cost, latency, or infrastructure requirements.
Can employees use local files?
Yes. BasilAOS supports in-chat uploads and encrypted two-way synchronization between selected local folders and approved agent cloud resources, with scope, read-only state, and agent permissions visible.
Can agents write back to business systems?
Yes, when the connector and workflow are configured for it. Write-back should be limited by identity, permissions, validation, policy, approval gates, and audit rather than enabled as an unrestricted agent capability.
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Move enterprise AI from pilots into production.
Built for enterprise teams.
Move enterprise AI from pilots into production.
Built for enterprise teams.
Move enterprise AI from pilots into production.
Built for enterprise teams.