People first.
Process matters.
Technology that fits.
Clear priorities. Practical delivery. Measurable outcomes.
We help organisations improve planning and delivery by connecting business needs, data, and frontline operations. We also support safe, practical use of AI where it improves decisions and outcomes.
Typical clients include: health and community service providers, iwi trusts and NGOs, education and other public agencies.
How we contribute
Pick a starting point. We can support you through discovery, delivery, and measurement—then help you embed what works.
Analytics and modelling
Thorough needs analysis followed by KPI definitions, dashboards, and forecasting models that link demand, capacity, cost and outcomes.
Typical outcome: Clearer priorities and investment choices based on what matters.
Explore deliverablesDigital transformation delivery
Requirements, process redesign, integration and migration, data foundations, and UAT support.
Typical outcome: Digital change that lands well and improves reporting and delivery.
Explore deliverablesAI governance and practical application
Safe use cases, privacy and risk controls, operating rules, and measures to track value and risk.
Typical outcome: Safer adoption with clear operating rules.
Explore deliverablesPlanning and performance support
Annual and multi-year planning, prioritisation, investment cases, and benefits tracking.
Typical outcome: A roadmap and monitoring cadence that holds up in delivery.
Explore deliverablesWhat we deliver
Concrete outputs that teams can use immediately. These are typical artefacts we tailor to your context, always grounded in a thorough needs analysis.
- Needs analysisclarifying what needs to be measured and why (the foundation)
- Decision paperoptions, trade-offs, recommendation, next steps
- KPI dictionarydefinitions, formulas, owners, reporting cadence
- Dashboard and reporting packbuilt for day-to-day decisions
- Forecast and scenario modelassumptions visible and easy to update
- Requirements packprocess maps, user stories, data needs, acceptance criteria
- Benefits trackingbaseline, targets, measures, reporting cadence
- AI governance packrisk summary, draft policy, operating rules, accountability
Our unique people-first model
We confirm value early by starting with the people who do the work.
People First (Clarify)
Start with whānau/service users and the teams doing the work; design change people can adopt through discovery and needs analysis.
Process matters (Build)
Map what actually happens end-to-end to reduce bottlenecks, rework, and handoff failures while designing models and requirements.
Technology that fits (Embed)
Shape systems, data, dashboards, and AI use around the workflow—so it supports decisions and measurable delivery.
Free tools and prototypes
All of these are free to use. Some started as client work; others are public-good prototypes. We can also build tailored versions for organisations when needed.
AI Governance Kit
Choose use cases, assess risk, and set rules and accountability for safer AI adoption.
Financial Sustainability Explorer
Scenario modelling for funding, expenditure and service change impacts.
MedSage (intake and triage)
Capture needs in people’s own words and route to the right support.
Inspired Colours
Generate WCAG-compliant palettes aligned to local identity and cultural grounding.
About Klugent
Whole-system thinking, practical delivery detail, and measurable outcomes.
What we do
Klugent helps organisations plan change, deliver change, and track results. We work in complex service environments where delivery depends on linking people, process, and technology.
About Keming Wang
Keming Wang is the Founder and Principal Consultant. He brings 20+ years across planning and performance, enterprise business analysis, analytics, and complex service delivery.
He combines whole-system thinking with practical delivery detail—linking frontline workflows and data to clear priorities and measurable outcomes.
Contact
Email or call to clarify scope and next steps.