Elaine He
AI & Product Strategy| Senior Technology & Strategy Professional |Enterprise Integration & Architecture
Auckland, New Zealand
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Master of Business (Global Management & Marketing) (Honours)
Master of Applied Computing
With over six years of experience in cloud services, enterprise integration, and automation, I specialise in transforming ambiguous business challenges into practical, scalable solutions. My work sits at the intersection of technology and strategy, focusing on how AI, product development, and digital systems can reshape workflows and enhance decision-making.
I have a proven track record in designing seamless connections between complex systems—whether integrating platforms, redesigning processes, or improving the way information flows across an organisation. My approach blends deep technical understanding in Oracle technologies and cloud services with strong business insight, ensuring that the solutions we build are not only functional but genuinely meaningful for the people who rely on them.
I’m deeply guided by the belief that impactful technology should be quiet, intentional, and human-centred. Through writing and speaking, I explore how AI and modern product thinking are reshaping digital experiences and the future of work.
✍️ Substack: https://elaine1233blog.substack.com
🔗 Youtube: https://www.youtube.com/@elainehe-thinks
Area of Expertise
Topics
Trusting AI at Work: Identity and Guardrails for Workplace Agents
As AI agents enter the workplace, identity becomes more than “who signed in.”
Agents act on behalf of users, access data across systems, and trigger workflows at scale — which raises a new question: how do we define trust, boundaries, and accountability when work is delegated to agents?
This session introduces a practical framework for designing agent identity, security boundaries, and governance in Microsoft 365 environments. We’ll explore common failure modes (over-permissioned agents, unclear ownership, untraceable actions), and how to build guardrails that enable adoption rather than blocking innovation.
The Missing Layer in Platform Engineering: Product Thinking in Practice
Drawing from an early-stage AI platform, this talk explores how applying product thinking to platform engineering influenced user trust, adoption, and impact beyond technical delivery.
Microsoft AI Governance: From Chaos to Clarity
As AI adoption accelerates, many teams begin experimenting with Microsoft AI tools before fully understanding how to use them responsibly at scale. Governance is often misunderstood as restrictive, but in reality, it is what enables trust, clarity, and sustainable business impact.
In this session, I’ll share a real-world, business-focused perspective on AI governance within the Microsoft AI ecosystem. Rather than diving into technical frameworks or policies, this talk explores how teams can move from ad-hoc AI usage to clearer decision-making, accountability, and confidence — while still enabling innovation.
This session is designed for professionals who are adopting Microsoft AI in real business contexts and want to understand how responsible AI practices support trust, value, and long-term success.
Building Contract Analysis Agent with Copilot Studio: From Stakeholder Vision to Working Prototype
In this session, we'll share our end-to-end journey of designing and building a Contract Analysis Agent using Microsoft Copilot Studio, hosted directly within Microsoft Teams. This isn't just a technical demo—it's a story of collaboration, iteration, and transformation.
The agent helps our team analyze and summarize contract content, identify key terms, and surface insights faster—all within the daily workflow environment of Teams. But getting there required more than just technical expertise; it required deep stakeholder engagement, user-centered design, and iterative refinement.
We'll walk through:
The Discovery Phase: How we engaged stakeholders to understand pain points and define requirements
The Design Process: Creating conversational logic and user flows that feel natural
The Technical Build: Implementing tools, integrating APIs, and ensuring secure data handling
The Testing & Iteration: Using real feedback to refine and improve the agent
The Lessons Learned: What worked, what didn't, and what we'd do differently
Whether you're exploring how to bring AI assistants into your organization or looking to extend Copilot Studio beyond demos, this session will show you how to turn an internal idea into a working business application that users actually adopt.
NZ Business Applications Summit 2025 Sessionize Event
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