Toitū Te Whenua - Land Information New Zealand
HQ
Wellington, New Zealand
NZ Employees
819.5 FTE
Industry
geospatial and land information management
NZ Presence
Headquarters in Wellington with additional offices in Hamilton and Christchurch; all operations in New Zealand
AI Focus Areas
AI Maturity Evidence
2024/25 Annual Report highlights exploratory opportunities for AI in workflows for efficiency and insights (no implementations); fixed-term hires for AI accelerator indicate early experimentation; partners supply AI-derived data (e.g., building outlines from aerial imagery).
Transformation Opportunities
| Area | Opportunity | Impact | Complexity |
|---|---|---|---|
| Geospatial Operations | Computer vision/ML for automated extraction of land features, buildings, and parcels from aerial/LiDAR imagery | high | moderate |
| Property Rights | NLP and document AI to automate validation, extraction, and processing of land title applications and legal docs | high | moderate |
| Data Analytics | Predictive AI models for land use changes, risk assessment (e.g., coastal erosion, flooding) using basemaps/LiDAR | high | complex |
| Customer Service | AI-powered chatbots and query tools for public access to property/geospatial data via Data Service | medium | simple |
Decision Makers
Gaye Searancke
Chief Executive
Accountable for overall performance including digital transformation and exploratory AI initiatives
Murray Young
Kaihautū Digital Delivery (Deputy CE Digital)
Leads Landonline modernisation (STEP), data accessibility, and technology strategy; key for AI workflow integration
Jan Pierce
Kaihautū Customer Delivery
Oversees geospatial/location information services; relevant for AI applications in mapping and data
Tech Stack Signals
Competitive Landscape
Peer government agencies (e.g., Stats NZ, DOC) adopting AI for data; private surveying/real estate firms using AI for valuations/imagery analysis; pressure as NZ digital gov leader to integrate AI for efficiency and open data innovation.
AIA Fit Assessment
- --NZ government enterprise at experimenting AI maturity with clear exploratory signals and expertise gaps via fixed-term hires
- --High budget ($237M revenue, $29M IT capex) supports transformation
- --Abundant high-impact opportunities in manual geospatial/property processes
- --Accessible digital leadership focused on modernisation
Hiring Signals
Total Roles
7
Remote
No
Levels
junior, senior, leadership
Skills Sought
Company Timeline
First tracked
Deep research update
Engagement Angle
Your 2024/25 Annual Report flags exploratory AI for workflows amid Landonline success—our AI accelerator expertise can productionize geospatial AI to cut manual data costs and scale insights.
Recommended AIA Service
Process Automation Sprint