AI-CHATBOT / ENTERPRISE AI
Deploy AI agents on infrastructure your organization controls. Bring your data, systems, and security requirements together in an AI environment designed around the way you operate.
Plan Your On-Premise DeploymentStart with your infrastructure, security needs, and AI goals.
YOUR AI PLATFORM. YOUR ENVIRONMENT.
On-Premise Deployment
AI capabilities within your chosen environment
Your Infrastructure
Your network, your policies, and your AI platform
AI capabilities built around your infrastructure.
Conceptual illustration, not a product screenshot.
THE OPPORTUNITY
Organizations want the benefits of AI while maintaining control over their infrastructure, information, and security practices. For some teams, that means deploying the platform within their own cloud account, data center, or restricted network.
On-Premise Deployment provides a way to run the AI platform in your chosen environment. Configure agents, connect approved systems, and apply your organization’s policies to the infrastructure supporting your AI initiatives.
Your team can work with deployment engineers to plan the architecture, integrate existing systems, and develop the capabilities needed to operate the platform.
Illustrative on-premise deployment workflow
Infrastructure and network
Security requirements
Users and AI objectives
Install the platform
Configure access and models
Integrate approved systems
Launch AI agents
Monitor and update
Expand your use cases
KEY CAPABILITIES
Bring together AI agents, integrations, and deployment tools in an environment selected by your organization.
Deploy within your own cloud environment, private data center, or other supported infrastructure.
Receive a source code license so your team can inspect, customize, and extend the platform.
Configure pre-built and custom agents for learning, support, administration, and other use cases.
Connect compatible organizational systems and approved information sources to your AI environment.
WHY ON-PREMISE DEPLOYMENT
On-premise deployment gives your team a way to incorporate AI into existing infrastructure and operating practices.
Deploy in infrastructure selected by your organization and incorporate your existing network and security tools.
Focus: infrastructure control.
Establish how information is stored, accessed, and shared based on your deployment configuration and policies.
Focus: data governance.
Use source code access, documentation, and knowledge transfer to support ongoing operation and development.
Focus: organizational ownership.
DEPLOYMENT OPTIONS
Your deployment can be planned around your infrastructure, network policies, security needs, and operational responsibilities.
Deploy within your organization’s cloud account, including supported AWS, Microsoft Azure, or Google Cloud environments.
Run the platform in infrastructure located in your own facility or private data center.
Discuss deployment in a government cloud environment based on applicable agency and project requirements.
Plan a disconnected deployment using locally hosted models and components where required.
WHAT IS INCLUDED
On-Premise Deployment combines platform software, deployment resources, AI agent capabilities, and engineering support.
Receive platform source code and a perpetual license that allows your team to inspect, modify, and extend the software under the applicable license terms.
Use deployment materials such as container images, Kubernetes configurations, and infrastructure templates as appropriate to your environment.
Configure agent templates for use cases such as tutoring, advising, enrollment, compliance, and IT support.
Connect compatible learning, student information, CRM, enterprise, and collaboration systems.
Work with engineers to plan deployment, integrate systems, and configure the platform for your organization.
Help your team develop the skills to operate the platform and build additional agents and integrations.
AI AGENTS AND MODELS
Use pre-built agent templates as a starting point or customize agents around your organization’s content and workflows.
Support learners with agents configured around approved course content and educational resources.
Help users navigate programs, processes, policies, and other organizational information.
Provide access to approved workplace knowledge, technical information, and internal support resources.
Connect supported models from providers such as OpenAI, Anthropic, Google, and others when permitted by your policies.
Use supported locally hosted language models when your deployment requires control over the model environment.
Configure agents, permissions, and connected tools around specific responsibilities and organizational needs.
SYSTEM INTEGRATIONS
Integrations help agents use relevant information while respecting the access rules established for your environment.
Connect compatible platforms such as Canvas, Blackboard, Moodle, D2L, Banner, PeopleSoft, and Workday.
Plan integrations with supported platforms such as Salesforce, SAP, Oracle HCM, and other enterprise systems.
Connect compatible workplace tools and content repositories such as Microsoft Teams, Slack, and SharePoint.
SECURITY AND GOVERNANCE
Your deployment can be designed around the identity, network, access, and audit requirements that matter to your organization.
Plan deployment around your firewalls, network boundaries, and infrastructure policies.
Integrate compatible identity providers and configure authentication and access based on organizational roles.
Incorporate logging and monitoring into your organization’s operational and governance processes.
Compliance depends on your complete deployment, configuration, policies, and operating practices. Requirements should be reviewed with your security and compliance teams.
FLEXIBLE DEPLOYMENT
Some organizations are ready to deploy in their own infrastructure. Others prefer to begin with a managed cloud environment and evaluate a self-managed deployment later.
Start with a managed environment where platform infrastructure and routine hosting operations are handled for you.
Deploy the platform in an environment your organization selects and manages according to its requirements.
Discuss a move from hosted deployment to your own infrastructure as your needs and capabilities develop.
GETTING STARTED
Begin with your organization’s priorities, infrastructure, and the users you want to support.
Identify your AI goals, deployment environment, security needs, users, and system connections.
Plan the architecture, AI models, integrations, permissions, and operational responsibilities.
Install and configure the platform, launch initial agents, and prepare your team for ongoing operations.
FREQUENTLY ASKED QUESTIONS
On-Premise Deployment allows your organization to run the AI platform in infrastructure it controls, such as a private data center or its own cloud environment.
Yes. Deployment can be planned for supported cloud environments within your organization’s own account or tenancy, subject to your infrastructure and security requirements.
An air-gapped deployment can be planned using compatible local models and components. The architecture, installation process, updates, and operational requirements should be reviewed for your environment.
Yes. On-premise deployment includes source code access under a perpetual license. The applicable license terms and deliverables should be reviewed as part of your agreement.
The platform supports integrations with compatible learning, student information, CRM, enterprise, and collaboration systems. The appropriate connections depend on your systems and project scope.
Yes. Supported self-hosted models can be considered alongside other model options based on your infrastructure, performance, security, and use-case requirements.
Your deployment can be configured to keep data within your environment. If you choose external model providers or other services, information sent to those services depends on the integrations and data flows you configure.
Yes. A move from hosted deployment to your own infrastructure can be discussed when your requirements change. The migration plan and applicable licensing should be reviewed for your project.
LET'S GET STARTED
Explore how On-Premise Deployment can help your organization bring AI agents, data, and systems together in your own environment.
Discuss Your On-Premise DeploymentWe can discuss your infrastructure, AI goals, integrations, security requirements, and deployment options.
