Date: |
17 Jun 2026, 12.00PM – 1.00PM |
duration: |
1 hr |
Location: |
Online |
Cost: |
Free event |
Join the IT group for this webinar where Matt Ensor will explore how AI can help create, populate and improve structured templates for real work processes, including reports, CVs, research summaries, grant applications and technical documentation.
The session will focus on the practical challenge of turning unstructured information into structured documents: finding relevant source material, extracting the right information, fitting it into a template, identifying gaps and keeping a clear human review point.
It will also touch on how more agentic AI tools may increasingly support this process, and the controls needed before they can be trusted in real organisational workflows.
Presenter Bio:
Matt Ensor, MEngNZ, CMInstD, is one of New Zealand’s leading speakers and trainers on the practical use of Generative AI. He is a member of Engineering New Zealand’s AI Advisory Committee and delivers Engineering New Zealand's professional development coursers on generative AI. Matt originally qualified as a civil engineer and spent 28 years at Beca, including five years leading Beca’s investment in what is now Generative AI.
Matt works with boards, executive teams, engineering firms and professional organisations to help them understand how AI is changing knowledge work, technical practice and organisational decision-making. His sessions are practical, engaging and focused on how engineers and organisations can use AI safely, responsibly and effectively.
Getting better use of AI is not just about better prompting; it is also about using AI for workflow automation.
Join the IT group for this webinar where Matt Ensor will explore how AI can help create, populate and improve structured templates for real work processes, including reports, CVs, research summaries, grant applications and technical documentation.
The session will focus on the practical challenge of turning unstructured information into structured documents: finding relevant source material, extracting the right information, fitting it into a template, identifying gaps and keeping a clear human review point.
It will also touch on how more agentic AI tools may increasingly support this process, and the controls needed before they can be trusted in real organisational workflows.
Presenter Bio:
Matt Ensor, MEngNZ, CMInstD, is one of New Zealand’s leading speakers and trainers on the practical use of Generative AI. He is a member of Engineering New Zealand’s AI Advisory Committee and delivers Engineering New Zealand's professional development coursers on generative AI. Matt originally qualified as a civil engineer and spent 28 years at Beca, including five years leading Beca’s investment in what is now Generative AI.
Matt works with boards, executive teams, engineering firms and professional organisations to help them understand how AI is changing knowledge work, technical practice and organisational decision-making. His sessions are practical, engaging and focused on how engineers and organisations can use AI safely, responsibly and effectively.
