Culturally grounded. Governance-grade. Accessibility-first AI implementation
Working with me starts with your context, people, systems, constraints, and responsibilities.
I help Māori, Pacific, and values-led organisations adopt AI in ways that build trust, strengthen delivery, and support audit-ready governance, using the WHĀKĀ-6 Framework™ to keep the work relationship-first, culturally grounded, and practical.
Know where AI is genuinely useful, and what to avoid
Privacy, risk, quality, and governance considered up front
Your team leaves stronger, not dependent
Get a clear first map before choosing tools, training, or implementation.
The Practical AI Snapshot helps identify safe opportunities, areas that need care, and the first practical priorities.
You leave with a short report and a recommended next step.
Relationship-first. Practical. Governance-grade
I start by understanding your context, goals, constraints, stakeholders, and risks - then translate that into a practical plan you can execute. Where implementation is required, I focus on reliable workflows, clear documentation, and capability uplift so your team can run and improve the system over time.
Clear decisions – Prioritised recommendations and rationale
Reliable implementation – Tested workflows with handover notes/SOPs
Sustainable capability – Your team understands both the “why” and the “how”
A culturally grounded methodology for responsible, practical AI adoption
WHĀKĀ‑6 Framework™ is my proprietary methodology that blends indigenous values with modern strategy and delivery. “It helps ensure AI decisions are relationship-first, culturally grounded, and focused on outcomes – not hype. In practice, it guides how we prioritise work, engage stakeholders, manage risk, and deliver sustainable solutions that are easy to maintain over time.
Cultural integrity – Strategy aligned to values, people, and community impact
Structured flexibility – Clear priorities with room to adapt as you learn
Sustainable outcomes – Decisions, documentation, and delivery built to last
Privacy, copyright, transparency, accessibility, and trust built in from day one
AI adoption works best when people trust the process. I take a responsible approach that considers privacy, copyright, transparency, risk, bias, accessibility, and human review up front. Where needed, I also document decisions, boundaries, and handover notes so your organisation can operate confidently, meet obligations, and sustain improvements over time.
Safer decisions – Privacy, copyright, transparency, and risk considered early
Accessible delivery – Plain language, inclusive design, and usability in real workflows
Human review and accountability – Clear boundaries, review points, and decision logs where needed
Choose your starting point or book an introductory kōrero / talanoa
If you already know what you need, get started and choose the offer that fits your goals and timeline. If you’d like a recommendation, book an introductory kōrero / talanoa and I’ll help you select the best entry point based on your context, constraints, and success measures.
Faster decisions – Clear options without overthinking
Right-sized support – Match the offer to your needs and budget
Momentum – Move into action with confidence
Get a clear first map before choosing tools, training, or implementation.
The Practical AI Snapshot helps identify safe opportunities, areas that need care, and the first practical priorities.
You leave with a short report and a recommended next step.