AI-CHATBOT / ENTERPRISE AI

Reduce Vendor Dependence with an AI Platform You Can Control

Give your organization more options for how its AI platform is deployed, reviewed, and developed. With source code access and flexible infrastructure choices, your team can plan for greater long-term control.

Plan Your AI Platform Strategy

Build an AI foundation around your organization’s priorities.

THE OPPORTUNITY

Give your organization more control over its AI investment

As AI becomes part of daily operations, organizations need to think about how their platforms will be supported, customized, and maintained over time.

Source code access, deployment choices, and flexible model options can help your organization reduce dependence on a single provider’s infrastructure or product roadmap.

With the appropriate license and technical resources, your team can inspect the platform, develop custom capabilities, and plan how the technology operates within your environment.

From platform access to a more flexible AI strategy.

Illustrative AI platform ownership workflow

Receive the platform

Source code access

AI agents and components

Deployment resources

Configure your environment

Choose infrastructure

Connect approved systems

Apply your policies

Develop over time

Customize workflows

Choose supported models

Build team capabilities

Built around your organization: your code access, data, infrastructure, people, and AI goals.

KEY BENEFITS

Create more choices for your organization

Build an AI strategy that gives your team visibility, flexibility, and a path for long-term development.

01

Source Code Access

Give your technical team the ability to inspect the platform’s underlying software.

02

Customization

Adapt agents, workflows, and integrations to support your organization’s needs.

03

Deployment Choice

Choose a managed environment or discuss deployment on your own infrastructure.

04

Model Flexibility

Consider supported AI models from different providers or compatible self-hosted models.

SOURCE CODE ACCESS

Understand and extend the platform behind your AI

A Full Code License gives your organization access to the source code under the terms of its license agreement.

FOR TECHNICAL TEAMS

Inspect the code

Review the platform’s components and architecture as part of your technical and security processes.

Focus: visibility.

FOR DEVELOPERS

Extend capabilities

Develop or adapt features, agents, and integrations to support your organization’s workflows.

Focus: customization.

FOR LEADERSHIP

Plan for continuity

Develop internal capabilities and make informed decisions about the platform’s future.

Focus: long-term planning.

PLATFORM CAPABILITIES

Work with the components that support your AI

The licensed platform can include access to the components your organization uses to build and operate AI experiences.

01

AI Agents

Configure and extend agents for the roles and workflows your organization supports.

02

System Connectors

Work with integration components that connect compatible applications and information sources.

03

Policy and Access Controls

Review platform components that support permissions, policies, and governance.

04

User Interfaces

Adapt supported user and administrative interfaces to your organization’s needs.

05

Deployment Resources

Use applicable configuration and deployment resources to operate the platform.

06

Documentation and Training

Build your team’s understanding of how to operate and extend the environment.

DEPLOYMENT CHOICES

Choose where your AI platform operates

Select a deployment approach that aligns with your organization’s infrastructure and operational resources.

MANAGED

Hosted Environment

Use managed cloud hosting while discussing source code licensing and your long-term plans.

YOUR INFRASTRUCTURE

Cloud or On-Premises

Deploy in your own cloud account or data center based on your organization’s requirements.

RESTRICTED

Air-Gapped Environment

Plan a disconnected deployment using compatible locally hosted models and components where needed.

AI MODEL FLEXIBILITY

Choose models that fit your use cases

Your organization can consider supported AI models based on capabilities, cost, performance, and data requirements.

01

Commercial Models

Work with supported models from different providers when external services fit your policies.

02

Self-Hosted Models

Consider compatible locally hosted models when your deployment requires additional control.

03

Adjust Over Time

Revisit model choices as your organization’s needs and available technology change.

BUILD YOUR TEAM'S CAPABILITY

Keep important platform knowledge within your organization

Technology independence also depends on the people who understand, operate, and maintain the platform.

01

Knowledge Transfer

Help your team understand the platform, architecture, and operating procedures.

02

Documentation

Provide resources that support administration, troubleshooting, and future development.

03

Ongoing Support Choices

Decide what your team will manage internally and where additional support is useful.

PLAN FOR THE LONG TERM

Make informed decisions about your AI environment

Reducing vendor dependence involves planning for the technology and services your organization will need over time.

01

Licensing

Review the rights, deliverables, and terms associated with your source code license.

02

Infrastructure

Plan the cloud, servers, network, storage, and operating resources needed for your deployment.

03

Updates and Maintenance

Define who will apply updates, manage security, and maintain the platform over time.

04

Connected Services

Review dependencies on AI model providers, integrations, and other third-party services.

05

Team Responsibilities

Identify the internal skills and external support your organization may need.

06

Future Changes

Plan how your organization can adapt its deployment and AI strategy as needs evolve.

GETTING STARTED

Plan an AI platform strategy with your team in mind

Begin with your organization’s goals, resources, and expectations for long-term platform control.

STEP 01 Review your priorities

Identify your AI goals, technical resources, security needs, and deployment preferences.

STEP 02 Explore your options

Review source code licensing, infrastructure, model choices, and support requirements.

STEP 03 Build your plan

Define how your team will deploy, operate, customize, and support the platform.

FREQUENTLY ASKED QUESTIONS

Questions about reducing vendor dependence

What does reduced vendor dependence mean?

It means giving your organization more options for how its AI platform is inspected, deployed, customized, maintained, and supported.

Does source code access mean we can modify the platform?

A Full Code License provides rights to inspect, modify, and extend the licensed platform under the terms of the applicable agreement.

Can we deploy the platform on our own infrastructure?

Yes. Deployment in your own cloud or on-premises infrastructure can be discussed based on your technology and security requirements.

Can we use managed hosting and still receive source code?

A source code license can be discussed alongside a managed hosted deployment. The applicable terms and services should be reviewed for your organization.

Can we choose which AI models to use?

The platform supports multiple model options. Supported commercial and self-hosted models can be reviewed based on your deployment and use cases.

Will our platform have any outside dependencies?

That depends on your architecture. Cloud infrastructure, model providers, integrations, updates, and other services may be supplied by third parties. These dependencies should be reviewed during planning.

Can our team manage the platform independently?

Your team can plan to operate and extend the platform with the appropriate license, infrastructure, documentation, and technical capabilities.

How can our organization get started?

Begin by discussing your goals, deployment requirements, source code licensing, and the capabilities your team wants to manage internally.

LET'S GET STARTED

Build an AI foundation with more options for your organization

Explore how source code access, deployment choices, and model flexibility can support your long-term AI strategy.

Discuss Your AI Platform Strategy

We can discuss your AI goals, licensing, infrastructure, security requirements, and support options.