Your organisation subscribed to AI. Your team still isn’t using it.
We fix that — in ways that protect your mana, your data, and your people.
At Making Everything Achievable (MEA), we help Māori organisations build real AI capability — grounded in tikanga, designed for your reality, and led by someone who’s spent 15 years inside organisations like yours.
✔ Understand AI risks and opportunities
✔ Identify practical use cases for your organisation
✔ Build internal capability so your team can use AI confidently
No obligation. No tech jargon. Just a yarn about what AI could mean for your organisation.
Ngāti Porou, Ngāti Konohi, Ngāti Irish
Travis brings three things most AI consultants can’t:
"AI, applied correctly, can be a genuine multiplier for your people.” — Travis O’Keefe
Hear directly from those who have worked alongside our AI Consultant Travis and experienced the impact of values-led strategy, innovation, and delivery grounded in real-world outcomes.
"Travis is a consistently out-of-the-box driver of human potential, inspiring people to set transformative, limitless goals that truly push the dial forward. He has personally helped myself and now thousands of Māori and Indigenous entrepreneurs and change makers around the world." via Travis’ LinkedIn profile
“What sets Travis apart is his innate ability to identify and prioritise key areas for growth and improvement. His approach to business growth is both innovative and practical, masterfully integrating standard operating procedures with cutting-edge solutions like AI." via Travis’ LinkedIn profile
“Travis frames AI in terms of outcomes, risk, repeatability, and long-term business value. He actively tests assumptions and refines governance and security guardrails based on real experimentation — something noticeably absent from much of the AI commentary.” via Travis’ LinkedIn profile
Build your team’s AI skills
Know where AI fits
Pressure-test your plan
Someone to own it
Every engagement operates under a strict NDA. All data is handled in full alignment with Te Mana Raraunga — Māori Data Sovereignty principles. Your data stays yours. "We don’t sell tools. We don’t take equity. We build your team’s capability and leave you stronger than we found you."
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Practical AI training and advisory for iwi, trusts, and Māori organisations ready to use AI responsibly.
In six 2 hour sessions, your team will know exactly how to use AI in their actual mahi — responsibly, confidently, and grounded in tikanga.
Research shows that roughly 70% of AI projects fail to deliver real value — and almost none of those failures are caused by the technology. They're caused by teams who were never given the time, the guidance, or the confidence to make AI a natural part of how they work.
This programme changes that.
Over six online sessions across two months, your team develops practical AI skills that are applied to their actual work — not invented exercises, not theory. Each session builds on the last. Each person leaves with something they made that session, using a real task from their own role.
By the final session, every person in the room will know how to get genuinely useful results from AI — and exactly when not to use it. They will also leave with a working tool they built themselves that automates one of their most repetitive tasks, and their own set of personal rules for using AI responsibly, grounded in tikanga and Māori data sovereignty.
One-day workshops don't build habits. Two months of applied, session-by-session practice does. Every session ends with a real challenge — applied to something from the participant's actual work that week — and peers review each other's results the following session. The learning is practical, social, and cumulative.
Session 2 includes a dedicated session on privacy, tikanga, and Māori data sovereignty with a guest expert — so your team understands not just how to use AI, but how to use it in a way that protects what matters most.
6 online sessions · 2 hours each · delivered over 2 months
Dr Karaitiana Taiuru is one of Aotearoa New Zealand’s foremost authorities on Māori rights in artificial intelligence and digital environments, and a PhD graduate of Te Whare Wānanga o Awanuiārangi.
A leading Māori AI, data, and emerging technologies ethicist, he brings deep expertise in Māori data sovereignty, governance, and the ethical application of emerging technologies and biological sciences. Grounded in mātauranga Māori, tikanga Māori, and Te Tiriti o Waitangi, his work ensures that innovation aligns with and advances Māori rights, values, and aspirations in the digital age.
Know exactly where AI will create value in your organisation — before you spend a dollar on it.
Most organisations moving into AI aren't failing because the technology doesn't work. They're failing because they moved before they were ready — chasing the wrong problems, with the wrong foundations, without a clear picture of what returns were actually possible.
This assessment exists to change that equation.
Over six to eight weeks, MEA works alongside your leadership team to identify where AI will generate the highest return for your organisation specifically — across your operations, your services, and your people. We put conservative numbers on those opportunities, assess what you genuinely need to have in place to succeed, and build you a sequenced 24-month roadmap your board can act on with confidence.
This is not a technology pitch. No tools are sold. No implementation is rushed. What you receive is clarity — grounded in evidence, not enthusiasm.
The assessment is led by Travis O'Keefe (Ngāti Porou, Ngāti Konohi) — a business specialist with 30 years of CEO and COO-level operations experience, and university-level AI accreditations from Oxford, Vanderbilt, and Google. Travis brings something most AI consultants can't: a deep, lived understanding of the pressures Māori-led organisations carry — from governance demands and under-resourced operations, to the weight of serving community while protecting what matters most.
All engagements operate under a strict NDA.
“Under Travis's guidance, we implemented personalized marketing strategies, optimized our sales funnels using AI-driven insights, and significantly improved our customer service with automation.” via Travis’ LinkedIn profile
Your plan has been reviewed by people who want it to succeed. Ours exist to break it.
Most strategic plans fail quietly. Not because the vision was wrong, but because the assumptions underneath it were never seriously challenged — by someone with no reason to protect them.
The people who build your strategy know your organisation well. That's also what limits them. They carry the same blind spots, the same political sensitivities, the same investment in the direction already chosen. Research consistently shows that between 60 and 90 percent of strategic plans fail — and the failure almost always starts at the design stage, long before execution.
MEA's Strategic Plan Stress Test changes the conditions.
We assemble a council of specialised AI experts — each bringing a fundamentally different perspective — and set them against your plan. One hunts for logical inconsistencies and unproven assumptions. One tests whether the plan can actually be executed with the resources you have. One argues the opposite of your core thesis. One stress-tests the failure scenarios nobody has named yet. One advocates for the people your strategy is supposed to serve. One then takes every attack and asks how the plan can be rebuilt to survive it.
No single consultant brings all of that. No leadership team can do it to their own work.
What you receive is a structured analysis of your plan's genuine vulnerabilities — across your operations, your sector, and your strategic context — translated into concrete insights your leadership team can act on before the plan is committed and resourced.
This is not a critique. It is the sharpest preparation your strategy can have.
You carry a weight most strategic frameworks were never designed for: accountability to whānau and community, governance obligations, finite resources, and the long-term obligations of tino rangatiratanga. Plans built under that pressure deserve the most rigorous review available — not a polite read-through.
The strongest strategies are the ones that survived hard questions early.
"His eyes are always fixed on the next big disruption, the next market opportunity, and the next paradigm shift. This forward thinking approach ensures he'll consistently be at the forefront of innovation, driving change rather than reacting to it." via Travis’ LinkedIn profile
The missing piece isn't a better AI tool. It's someone who owns making it actually work.
You've probably already decided that AI should play a bigger role in how your organisation operates. The harder question is: who, specifically, is responsible for making that happen?
In most organisations, the honest answer is nobody — or someone who was given the task on top of everything else they already carry. AI gets trialled in pockets. A few tools get purchased. A workshop gets attended. And then the urgent work of the week takes over, and the AI agenda stalls quietly until the next board conversation about it.
This is not a technology problem. It is a leadership gap.
A Fractional AI Lead from MEA steps into your organisation as a working member of your leadership team — part-time, on a fixed retainer, without the cost or commitment of a full-time hire. They don't arrive with a report and leave. They show up regularly, take ownership of your AI programme, and move it forward week by week — alongside your people, inside your operations, in full understanding of what your organisation is actually trying to achieve.
They identify where AI will create the most value in your organisation and build the plan to get there. They manage your AI projects from decision through to delivery — coordinating people, tools, and timelines so nothing stalls. They work alongside your team to build genuine capability, not dependency. They translate AI progress into clear reporting your board can understand and act on. And they protect what matters — ensuring every AI decision respects your data, your people, and your values.
Most AI leadership models were designed for large corporates with deep technical teams and unlimited budgets. Your reality is different. You're running lean. You carry accountability to your people, your whānau, your community — not just your bottom line. And the decisions you make about AI aren't just operational decisions; they carry cultural weight.
Your Fractional AI Lead understands that context. They bring 30 years of CEO and COO-level operations experience alongside specialist AI credentials — and 15 years of working inside Māori organisations. They're not learning your world while billing you for it.
All engagements operate under a strict NDA. All data handled in full alignment with Te Mana Raraunga — Māori Data Sovereignty principles. Your data stays yours.
An AI Readiness Assessment — so your Fractional AI Lead starts with a clear picture of where the highest-value opportunities are.
AI Foundations Training — so your team builds the skills to contribute, not just observe.
Together, these three services form a complete path from curiosity to capability.
“Travis is also clearly well-versed and passionate about the power of AI to enhance business workflows and output, ultimately saving time.” via Travis’ LinkedIn profile
MEA AI is led by Travis O'Keefe who has three unique points of difference when compared with majority of the tech vendors:
I've spent 15 years working with Maori organisations. I know how many competing pressures you carry, from the board, from whānau at the marae, from the subsidiaries. AI, applied correctly, can be a genuine multiplier for your people.
Travis understands the expectation to do more with less, the weight of serving whānau, hapū, and the wider iwi while navigating governance demands, silo-led structures, and under-resourced operations. That lived context is what sets him apart from generic technology consultants.
Description & Value of Knowledge
Credential
Institution
AI Prompt Engineering
Enables teams to extract maximum value from AI tools through precise, effective prompting techniques. Directly increases productivity and output quality across every department using generative AI.
Change Management for Generative AI
Equips leaders to drive successful AI adoption by managing resistance, aligning stakeholders, and reshaping workflows. Critical for ensuring AI investments translate into real operational transformation rather than shelfware.
Generative & Agentic AI
Provides deep understanding of both content-generating and autonomously acting AI systems. Positions the organisation to design and deploy intelligent agents that automate complex, multi-step business processes.
Saïd Business School, Univ. of Oxford
AI Governance
Ensures AI deployments meet regulatory, ethical, and risk management standards across the enterprise. Protects the organisation from legal exposure, reputational damage, and uncontrolled model behaviour.
Saïd Business School, Univ. of Oxford
AI Essentials
Builds a solid foundation in core AI concepts, enabling informed decision-making on AI strategy and investment. Ensures leadership can evaluate AI opportunities and vendor claims with confidence and clarity.
Saïd Business School, Univ. of Oxford
AI Ethics
Prepares the organisation to identify and mitigate bias, fairness, and transparency risks in AI systems. Builds stakeholder and public trust, which is increasingly a competitive differentiator and regulatory expectation.
University of Helsinki, Finland
AI Careers
Provides strategic insight into AI's impact on workforce planning, talent acquisition, and role redesign. Helps organisations future-proof their people strategy as AI reshapes job functions and skill requirements.
Robert H. Smith Business School, Univ. of Maryland
AI Security & AI Foundations
Addresses the critical need to protect AI systems from adversarial attacks, data breaches, and model vulnerabilities. Ensures the organisation can deploy AI confidently while safeguarding sensitive data and infrastructure.
Currently Studying [Oxford]
Signals ongoing commitment to staying at the frontier of AI knowledge and best practice. Demonstrates to stakeholders that AI capability-building is treated as a continuous strategic priority, not a one-off effort.
Together, these credentials represent the full AI value chain — from building intelligent solutions, to governing them responsibly, to managing organisational change, to doing so ethically and securely. This is not theoretical knowledge.
Travis applies these frameworks directly to Māori organisational contexts, including Māori data sovereignty, tikanga-led practice, and the unique political and cultural pressures Māori executives operate within.
Build your team’s AI skills
Know where AI fits
Pressure-test your plan
Someone to own it
That’s exactly why we’re here. Have a kōrero with us and we’ll help you explore what’s possible and whether it’s the right fit for your organisation.
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