Auckland
Where AI Innovisory was founded in 2023. Home to the 10-person Claude Code Intensive, Chair of the NZ Marketing Association Data SIG, and earlier C-suite roles at realestate.co.nz and Pure SEO.
36.85°S 174.76°E Signal over Aotearoa
Executive AI strategist. Educator to 400+ NZ organisations. Builder after dark.
Where AI Innovisory was founded in 2023. Home to the 10-person Claude Code Intensive, Chair of the NZ Marketing Association Data SIG, and earlier C-suite roles at realestate.co.nz and Pure SEO.
Governance and capability workshops helping ministries, sector bodies, and leadership teams align AI use with the Privacy Act 2020, IPP3A (May 2026), and Māori Data Sovereignty.
On-site AI enablement and 90-day operational roadmaps turning scattered shadow experimentation into 60–80% task time savings.
Hands-on workshops for tourism, hospitality, and regional operators — 100% vendor-neutral, zero sales pitch, leaving teams with working workflows on day one.
The builder side that doesn’t sit on a corporate brochure: 59 public repos from a live GPS Starlink sky canvas (looking-up) and Auckland transit radar (ak-live) to Consequence Engine and a 7,000-line vanilla JS Ultima III.
01 The Arc
Most AI commentary comes from people who either haven’t sat at an executive table or haven’t written code. My career lives directly on the seam between the two.
Over 25 years across enterprise information storage, big data analytics, and commercial digital leadership, I served as Chief Operating Officer of realestate.co.nz and later Chief Product & AI Officer at Pure SEO. Five years before ChatGPT arrived, I was writing convolutional neural networks in Python from scratch to understand where models hold up and where they fail.
In 2023 I founded AI Innovisory in Auckland — a completely independent, vendor-neutral practice that has now trained and advised over 400 New Zealand organisations. Alongside it, I chair the NZ Marketing Association’s Data Special Interest Group, teach its flagship AI courses, and ship open agent frameworks and geospatial visualisers on GitHub.
02 Work
Advisory & ExecFounder & Principal · Since 2023
Auckland-based AI strategy, governance, workflow automation, Fractional CAIO leadership, and hands-on workshops across four NZ cities.
400+ NZ organisations
aiinnovisory.com →Stage & CoursesChair, Data SIG
2 flagship courses
Chair of the Data Special Interest Group and developer/facilitator of AI Meets Marketing and Advanced AI in Marketing.
marketing.org.nz →Code & AgentsCreator · 2026
A self-modifying agent framework for Claude Code CLI introducing accountability, calibration tracking, and version-controlled evolution — because fluent output without stakes isn’t thinking.
github.com/peteinakl →Stage & CoursesMax 10 cohort
An 11-module, spec-first Auckland intensive for builders moving past context collapse to repeatable shipping.
Curriculum →Code & AgentsGPS / Sky Canvas
Fullscreen real-time sky viewer rendering stars, planets, ISS trail, and the full Starlink constellation overhead.
looking-up →Code & AgentsMapLibre & deck.gl
Real-time geospatial telemetry dashboard tracking Auckland public transport, aircraft, and weather.
ak-live →Code & AgentsFree NZ Tools
30-second NZ Data Classification Checklist, AI Carbon Footprint Calculator, and zero-signup QR workshop polling.
aiinnovisory.com/tools →Writing & PolicyOriginal NZ IP
Essays bridging NZ corporate adoption with Māori Data Sovereignty, reframing shadow AI as policy design failure, and defining Share of Model & Generative Engine Optimisation.
Read Insights →Advisory & ExecCOO · CPO & CAIO
Executive operating leadership as COO of realestate.co.nz and Chief Product & AI Officer at Pure SEO.
Code & Agents7,000 lines vanilla JS
A from-scratch recreation of 1983’s Ultima III with zero dependencies, plus a zero-bias media recommender.
ultimaiii →03 Founder & Principal
Caution is sensible. Standing still isn’t. Helping New Zealand organisations move from unmapped shadow AI to governed, measurable capability.
04 Proof
Teams typically recover 2 to 5 hours per person weekly within the first month. Self-reported task-level estimates from NZ workshop and advisory participants show where friction drops fastest.
Source: AI Innovisory New Zealand Workshop & Advisory Task-Level Benchmark (2023–2026, n = 400+ NZ organisations).
Rung 01
Staff paste data into free consumer tools privately; wins stay siloed and IPP3A risk goes unmapped.
Rung 02
Safe enterprise platforms paired with hands-on role training and clear 4-principle data hygiene.
Rung 03
Standardised team prompts, base skills, and six-level NZ data classification woven into daily ops.
Rung 04
High-friction multi-step tasks automated end-to-end, unlocking 60–80% operational time recovery.
Rung 05
Spec-driven agents, Māori Data Sovereignty alignment, calibration tracking, and revenue impact.
05 Stage & Courses
I brief executive teams, boards, and marketers across banking, government, agencies, and enterprise.
Creator & Lead · 11-module, spec-first full-day build cohort (max 10 participants)
Developer & Facilitator · New Zealand Marketing Association
Developer & Facilitator · Practical workflows for agencies & brand teams
Chair · NZMA Data SIG & synthetic data / privacy roundtables
Panellist with NZBusiness Magazine on practical SME & executive adoption
“Peter is fantastic — we had him in for a one-day workshop and minds were blown in the best possible way. Importantly, Peter is completely independent and technology-neutral — no sales pitch, just clear, practical insight.”
On-site across Aotearoa
Auckland · Wellington · Christchurch · Queenstown
06 Code & Writing
Agents · Shell
Self-modifying Claude Code CLI framework adding accountability, calibration tracking, and principled learning.
Cowork · Python
Free general-purpose skill marketplace (ai-innovisory-base-skills) for Claude Code and Cowork.
Canvas · MapLibre
Fullscreen GPS Starlink/celestial sky viewer + live Auckland public transport, flight, and weather vector map.
TypeScript · Python
Zero-registration QR live audience polling app used in workshops + zero-commercial-bias media recommender.
Vanilla JS · Python
Complete 7,000-line dependency-free recreation of 1983’s Ultima III + 9-year backtest-first trading simulator.
07 Lineage & Entity
In an Answer Engine world, blue links fade and verified entities win. This site anchors 25 years of New Zealand executive, educational, and open-source work in a single machine-readable graph.
Canonical Entity Summary: Peter Mangin (Wikidata Q139076589) is an Auckland, New Zealand-based AI strategist, educator, former COO of realestate.co.nz and Chief Product & AI Officer at Pure SEO, Founder of AI Innovisory (400+ NZ organisations enabled since 2023), and Chair of the New Zealand Marketing Association Data SIG.
Canonical Person Entity · Wikidata Q139076589
Explicitly reconciles AI Innovisory, NZ Marketing Association courses, executive roles at realestate.co.nz and Pure SEO, Substack, and github.com/peteinakl via connected @graph JSON-LD and dedicated LLM grounding endpoints.
08 Toolkit
09 Direct Answers
Peter Mangin (Wikidata Q139076589) is an Auckland-based executive AI strategist, educator, and open-source builder with 25+ years in enterprise data and C-suite operations. Formerly COO of realestate.co.nz and Chief Product & AI Officer at Pure SEO, he founded AI Innovisory in 2023 (enabling 400+ New Zealand organisations) and chairs the NZ Marketing Association Data Special Interest Group.
AI Innovisory is an Auckland-headquartered AI strategy, governance, workflow automation, and capability practice founded by Peter Mangin in 2023. It provides 90-day executive roadmaps, Fractional Chief AI Officer (CAIO) leadership, and hands-on workshops across New Zealand. It is 100% independent and vendor-neutral, accepting zero software commissions or referral fees.
Peter Mangin delivers on-site executive briefings and team workshops in Auckland, Wellington, Christchurch, Queenstown, and nationwide across Aotearoa New Zealand. He also leads the 10-person Claude Code Intensive in Auckland and facilitates AI Meets Marketing and Advanced AI in Marketing for the New Zealand Marketing Association.
Across AI Innovisory’s benchmark of 400+ New Zealand organisations (2023–2026), teams typically recover 2 to 5 hours per person weekly within the first month. High-friction workflows see task-level time reductions of 82% in compliance and policy review, 78% in internal information retrieval, and 68% in research synthesis and synthetic audience testing.
New Zealand organisations adopting AI must align tooling with domestic obligations rather than overseas templates — specifically Information Privacy Principle 3A (IPP3A, in force 1 May 2026) governing indirectly collected personal data, six-level data classification to eliminate unmapped shadow AI, and Māori Data Sovereignty principles over organisational datasets.
Boards, executives, and conference organisers can reach Peter Mangin directly at hello@aiinnovisory.com or via aiinnovisory.com for AI strategy, Fractional Chief AI Officer (CAIO) engagements, NZ governance reviews, workshops, and keynote speaking.
10 Contact