Technology & Leadership

Technology Experiments & Leadership Practice

I believe technology leaders should remain curious practitioners. While I no longer spend my days writing production code, I actively explore emerging technologies, AI-enabled workflows, product concepts and decision-support systems to better understand how technology can create value for organisations, teams and customers.

Portrait of Ammar Sagban

My Technology Philosophy

My role is not to be the smartest engineer in the room.

My role is to understand enough of the technology, architecture, data, security and product landscape to ask better questions, make informed decisions and create the conditions for specialists to succeed.

Technology changes rapidly. Effective leadership requires continuous learning, experimentation and curiosity.

Exploration

Current areas of exploration.

AI-Assisted Product Development

Exploring how AI can accelerate product discovery, software delivery, documentation, analysis and decision-making while maintaining quality and human judgement.

Technology Futures Research

Masters research focused on organisational decision-making, technology adoption and the role of emerging technologies in improving team effectiveness.

Decision Support Systems

Designing and iterating technology-enabled decision-support tools that help teams select appropriate decision-making approaches based on operational context.

Open Banking & Platform Ecosystems

Practical leadership experience within regulated open banking environments, balancing customer outcomes, platform evolution, compliance and operational scalability.

Product & Platform Operations

Exploring how engineering, product, governance and customer outcomes can be aligned to improve organisational effectiveness and delivery confidence.

AI-Enabled Leadership

Experimenting with practical uses of AI for coaching, organisational design, strategic planning, knowledge management and leadership decision-making.

Projects

Projects & experiments.

A growing collection of practical experiments. Screenshots, links and live demonstrations will be added as each progresses.

Carma — Neighbourhood Car Sharing

Live Prototype

A community-focused car-sharing platform that turns idle vehicles into neighbourhood resources. Carma connects car owners with trusted neighbours, reducing household costs, cutting emissions and building local trust through secure NFC-enabled access, transparent profiles and peer reviews.

  • NFC-powered smart access — renters unlock cars without key swaps
  • GPS and street-address search with instant booking confirmation
  • Owner-set pricing and availability with home-base return requirements
  • Trust infrastructure: profiles, reviews, messaging and penalty enforcement
  • Sustainability model: fewer cars, less idle time, lower neighbourhood emissions
  • Designed for real communities — not a generic rental marketplace
ReactSupabaseNFC IntegrationGeolocationCommunity Design
Carma — Neighbourhood Car Sharing screenshot

DecisionFit — Team Decision Support Tool

Live Research Artefact

A living web application and the practical artefact of my Masters thesis, helping teams notice the decision-making mechanisms they're using, test whether those mechanisms fit the moment, and consider alternatives drawn from organisational science, the Arab Golden Age (شورى / shura) and emerging technology. Built using a Design Science Research approach grounded in kaupapa Māori — each version evolves through use with real teams.

  • Core research question: to what extent does mapping a team's decision-making mechanism to the decision context influence productivity?
  • Interactive Decision Diagnostic for practitioners to assess their current approach
  • Curated library of decision-making mechanisms with contextual guidance
  • Four thematic pillars: contextual decision fit, team productivity & wellbeing, Arab Golden Age perspectives, emerging technology
  • Transparent research journey — sources, ethics, and version history published openly
  • Designed for team leads, organisation designers, consultants and coaches
TanStack StartReactSupabaseDesign Science ResearchKaupapa Māori framing
DecisionFit — Team Decision Support Tool screenshot

ShelfWise — Personal Digital Library

Live Prototype

A private, mobile-first SaaS that turns a phone camera into an ISBN barcode scanner, automatically catalogues each book using Open Library metadata, and curates a searchable personal collection with duplicate detection and an AI librarian.

  • Scan ISBN barcodes with the phone camera — no typing
  • Auto-fetched metadata and tags from Open Library
  • Search by title, author, genre, tag, shelf or note
  • Duplicate detection to keep the collection honest
  • AI librarian with three modes: what to read next, what to buy, what to borrow from Auckland Libraries
  • Private by default — per-user data isolation via row-level security
TanStack StartReactSupabase / RLSAI GatewayOpen Library API
ShelfWise — Personal Digital Library screenshot

AI-Assisted Coaching Toolkit

Experiment

Exploring how AI can support ADHD coaching, reflection, planning and behavioural change while preserving human-centred coaching principles.

Media & links coming soon

Closing

Leadership Through Curiosity

The best technology leaders are neither disconnected executives nor individual contributors trapped in management roles.

They remain curious, continue learning and actively engage with emerging ideas while helping organisations translate technology into sustainable customer and business outcomes.

My experiments, research and projects are part of that ongoing practice.

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