Summary: Global AI Charter is selective about partnerships, prioritizing strategic alignment and complementary capability over volume. It considers six partnership models — strategic, research, technology, education and workforce, institutional, and delivery — with organizations including companies, universities, research institutions, think tanks, industry associations and development organizations. Submitting an inquiry starts a conversation and does not guarantee acceptance.
Partnerships · Collaboration · Ecosystem
Build what comes next, together.
Global AI Charter works with organizations across industry, research, education, and the wider AI ecosystem to advance practical, responsible, and scalable AI adoption. We're open to selected partnerships where there's a clear opportunity to create meaningful value together.
Collaboration should create more than a logo.
We believe strong partnerships combine complementary capabilities, networks, knowledge, and resources to create outcomes that neither organization could achieve as effectively alone.
Collaboration can take many forms:
- Joint research
- Knowledge development
- AI education
- Workforce enablement
- Strategic initiatives
- Technology ecosystem collaboration
- Industry programs
- Thought leadership
- Client delivery
- Events & convenings
- Capacity building
Partnerships should have a clear purpose, defined responsibilities, and mutually understood outcomes.
Partnership models
Strategic partnerships
Longer-term initiatives involving AI strategy, transformation, responsible adoption, or ecosystem development — joint initiatives, strategic programs, market development, knowledge exchange, industry engagement, joint events.
Research partnerships
Collaborate on evidence, research, and knowledge products — joint research, reports, frameworks, comparative studies, expert contributions, knowledge dissemination.
Technology partnerships
Connect advisory expertise with relevant technology capabilities — ecosystem collaboration, product research, technology evaluation, workflow innovation, technical knowledge exchange. Advisory work remains vendor-neutral.
Education & workforce partnerships
Build AI capability together — corporate training, executive education, workforce development, workshops, AI literacy programs, curriculum development.
Institutional partnerships
With universities, research institutions, think tanks, industry associations, development organizations, professional networks, and civil society organizations — on research, policy dialogue, capacity building, events, and knowledge exchange.
Delivery partnerships
For organizations with complementary capabilities that may contribute to larger engagements — technology implementation, data, cybersecurity, change management, training, industry expertise. Roles and responsibilities are always clearly defined.
What Global AI Charter can bring to a partnership
Depending on the collaboration, we can contribute:
- AI Advisory
- Readiness, strategy, transformation, and responsible adoption expertise.
- Research
- Evidence-based analysis, frameworks, comparative research, and knowledge products.
- AI Governance
- Responsible AI, governance, risk, accountability, and adoption frameworks.
- Workforce Enablement
- AI literacy, role-based training, executive education, and workforce capability development.
- Industry Perspective
- Practical analysis of how organizations can adopt AI effectively.
- Global South Perspective
- Research and advisory perspectives relevant to emerging markets and developing AI ecosystems, where appropriate.
We look for complementary strengths.
A strong partnership may involve one or more of:
- Expertise
- Deep knowledge that complements our capabilities.
- Technology
- Relevant technology, infrastructure, or implementation capability.
- Research
- Research capacity, evidence, data, or domain expertise.
- Distribution
- Relevant professional or industry networks.
- Education
- Training, learning, or workforce development capabilities.
- Institutional Reach
- Access to organizations or communities where collaboration can create legitimate value.
- Shared Purpose
- A clear commitment to practical and responsible AI adoption.
How we approach partnerships
Mutual value
Both organizations should have a clear reason to collaborate.
Clear scope
Responsibilities, deliverables, and expectations should be defined.
Independence
Partnerships should not automatically compromise the independence of advisory or research outputs.
Transparency
Material conflicts or commercial interests should be appropriately disclosed.
Quality
We prioritize meaningful collaboration over a high volume of partnerships.
Responsible AI
Where AI systems or services are involved, responsible adoption remains a core consideration.
What could we build together?
Examples of potential collaboration — not claims of existing programs or partnerships.
Joint research
Develop research reports, frameworks, or evidence-based studies.
Executive programs
Deliver executive AI education and strategic workshops.
Industry initiatives
Develop sector-specific AI adoption programs.
Workforce programs
Build practical AI capability across organizations.
AI governance programs
Help organizations establish responsible AI practices.
Knowledge events
Co-host roundtables, briefings, webinars, or conferences.
Technology ecosystems
Connect advisory, technology, and implementation capabilities.
Development programs
Support responsible AI capacity-building initiatives where there's strategic alignment.
From conversation to collaboration
- IntroduceTell us who you are, what you do, and why you think collaboration makes sense.
- ExploreWe discuss the opportunity, objectives, and potential value for both organizations.
- AlignWe determine scope, responsibilities, resources, timeline, expected outcomes, commercial considerations, and governance.
- DefineWhere appropriate, we establish a written partnership or project agreement.
- BuildLaunch the agreed initiative.
- ReviewEvaluate progress, outcomes, and opportunities for future collaboration.
Discuss a partnership
Tell us who you are, what you'd like to build, and what your organization could bring to the collaboration.
You don't need to prepare a formal partnership proposal before contacting us. A concise description of the opportunity is enough to begin the conversation.
Thank you. We've received your partnership inquiry.
We've received your information and will review the proposed collaboration. If there's a potential fit, we'll determine the appropriate next step.
We couldn't submit your inquiry
Something went wrong while sending your partnership inquiry. Please check your information and try again.
We prefer meaningful partnerships over more partnerships.
We don't aim to maximize the number of organizations we work with. We prioritize collaborations where there's:
- Strategic alignment
- Complementary capability
- Clear mutual value
- Defined objectives
- Appropriate transparency
- A credible path to execution
Submitting a partnership inquiry does not guarantee acceptance or collaboration.
Explore a specific collaboration track
Exploring a commercial partnership?
Potential commercial collaboration may include advisory delivery, training, technology ecosystems, implementation support, joint programs, industry initiatives, research commercialization, or strategic market collaboration. All commercial arrangements are subject to appropriate scope, due diligence, and agreement.
Have a research idea?
We're open to selected research collaborations involving AI governance, responsible AI, AI policy, AI adoption, AI transformation, AI workforce, emerging AI risks, Global South AI ecosystems, and comparative AI research — potentially resulting in research papers, reports, frameworks, briefs, events, or knowledge products. We don't imply guaranteed publication.
Build AI capability together.
Potential collaboration includes executive education, corporate training, AI literacy, professional programs, workforce development, curriculum development, workshops, and institutional learning initiatives.
Connect technology with responsible adoption.
Technology partnerships may explore AI platforms, enterprise tools, workflow technology, AI infrastructure, model ecosystems, implementation capabilities, and technical research. Global AI Charter remains vendor-neutral in advisory recommendations — a technology partnership doesn't automatically mean endorsement of that partner's products.
A good partnership starts with clarity.
We'll want to understand:
- Why
- Why should we work together?
- What
- What are we trying to create?
- Who
- Who will be responsible?
- How
- What resources and capabilities are required?
- When
- What is the expected timeline?
- Value
- What does success look like?
Frequently asked questions
No. Partnerships are considered based on strategic alignment, relevance, capability, and practical feasibility.
Not necessarily. Some collaborations may be research, education, institutional, or knowledge partnerships. Commercial arrangements depend on the scope and nature of the engagement.
Yes. Technology ecosystem partnerships may be considered where there's clear value and appropriate separation between partnership activity and independent advisory recommendations.
Yes. Potential areas include research, education, workforce development, events, and knowledge exchange.
Yes. Provide a concise description of the research question, proposed contribution, expected output, and potential participants.
This isn't a default offering. If a potential delivery partnership requires this model, it can be discussed and evaluated separately.
No. The form starts a conversation. Any formal partnership requires appropriate review and agreement.
Let's build together
Have an idea worth exploring?
Tell us what you want to build, what you can contribute, and why you think the collaboration could create value.