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Home Work About
Let's connect

Hi, my
name is Queenie.
I'm a deployment strategist based in
Sydney, Australia.

S c r o l l
Let's work together

I bridge the gap between what a business strategy and what a technical rollout actually delivers.

I translate complex business challenges into technology solutions that drive adoption at scale. From uncovering requirements and shaping deployment strategies to coordinating enterprise rollouts, I focus on ensuring technology delivers meaningful business outcomes — not just successful implementation.

At Macquarie Group, I drive enterprise initiatives in Unified Communicationsacross Zoom, Microsoft Teams, and AV platforms, working across business, engineering, security, and vendor teams to deliver workplace technology solutions at scale.

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Work

Selected projects.

Zoom AI Companion

Enterprise Rollout

Led key workstreams for the enterprise rollout of Zoom AI Companion across Macquarie Group, partnering with stakeholders to align business priorities, coordinate phased implementation, and support organisational change across 20 000+ globally distributed employees.

I worked closely with leaders across Macquarie's eight business divisions to ensure deployment readiness, minimise business disruption, and drive long-term adoption through effective communication, training, and stakeholder engagement.

Strategy Change Management Stakeholder Alignment

RAG Chatbot

Hackathon Concept

Designed the strategy and use case for a retrieval-augmented generation chatbot aimed at surfacing scattered internal knowledge faster.

I didn't build the technical components myself — my contribution was shaping the problem, the use case, and the plan for how it would actually get adopted.

AI Strategy Use Case Design Product Planning

OnTrack

Startup Idea

A startup concept built around a simple premise: to be the best individual planning system, and make it universally available.

Still early — this space is reserved for wireframes and the fuller product story as it develops.

WIREFRAMES + PRODUCT DETAILS — COMING SOON
Product Design UX Strategy System Planning
See all projects →
About me

Outside of work.

"I’m a part-time Digital Creator across Instagram and TikTok, passionate about discovering new food places and bringing experiences to life through visual storytelling."

When I’m not filming my next food adventure, I’m usually behind the camera experimenting with photography, training for my next racealong Sydney’s running tracks, or editing footage from my ever-growing content backlog.

10+Businesses partnered
100K+Views across platforms
Social media Entertainment Photography Videography Sydney eats Content strategy
Instagram TikTok
Zoom AI Companion

Zoom AI Companion

Enterprise Rollout 8 min read

Overview

Zoom AI Companion is Zoom's enterprise generative AI assistant, embedded within the Zoom Workplace platform to enhance productivity, collaboration, and knowledge sharing. Powered by large language models (LLMs), natural language processing (NLP), and AI-powered contextual understanding, it enables employees to automate repetitive tasks, generate insights, and improve meeting outcomes directly within their existing workflows.

Key capabilities included:

AI-generated meeting summaries and action items
In-meeting AI assistance and contextual questions
Customisable meeting summary templates
Content generation and summarisation

The rollout formed part of a broader digital workplace strategy to introduce enterprise AI capabilities in a secure, governed, and scalable manner. Employees spend a significant portion of their time collaborating through meetings, with valuable time often lost to manual note-taking, documenting actions, and consolidating information after discussions. Zoom AI Companion addressed these challenges by reducing administrative overhead and enabling employees to focus on higher-value activities.

As a global financial institution, adopting generative AI required careful consideration of security, privacy, and regulatory requirements. Zoom AI Companion's Zero Data Retention (ZDR) architecture, enterprise encryption controls, administrative governance capabilities, and compliance framework enabled Macquarie to leverage AI innovation while maintaining strict enterprise security standards.

Technology Solution & Architecture

Before deployment, I conducted technical discovery sessions to understand how Zoom AI Companion integrated into Macquarie's existing collaboration ecosystem and enterprise technology landscape.

Key technical components included:

1. Zoom Workplace Platform

  • AI Companion feature enablement and administration
  • User access management
  • Enterprise configuration and controls

2. Security & Governance

  • Zero Data Retention (ZDR) architecture
  • Enterprise encryption
  • Data handling and privacy considerations
  • Legal and risk assessment requirements

3. Identity & Access Management

  • Enterprise authentication
  • User provisioning considerations
  • Access governance

I developed documentation to provide a clear technical reference for engineering, security, risk, and business stakeholders. This ensured alignment across teams and supported decision-making throughout the deployment lifecycle.

[ ARCHITECTURE DIAGRAM PLACEHOLDER ]
Solution architecture showing platform integration, security layers, and data flows

Deployment Strategy & Planning

Enterprise AI adoption required more than enabling a new platform capability, it required careful planning across technology, people, and processes.

I supported the deployment strategy by:

  • Developing the enterprise change paper to obtain governance and risk approvals
  • Defining the phased rollout approach across Macquarie's eight business divisions
  • Creating deployment schedules aligned with business readiness
  • Identifying implementation dependencies and risks
  • Coordinating deployment activities across technical and business stakeholders
  • Establishing readiness criteria to support successful adoption

The deployment approach balanced technical implementation requirements with organisational readiness, ensuring employees had the appropriate support and resources before launch.

[ DEPLOYMENT TIMELINE PLACEHOLDER ]
Phased rollout timeline across eight business divisions with key milestones and dependencies

Stakeholder Engagement & Change Management

Successful adoption required collaboration across multiple teams beyond technology delivery.

I partnered with:

  • Business stakeholders across eight divisions
  • Communications teams
  • Technology Assist teams
  • Collaboration engineering teams
  • Legal and risk teams
  • Change management representatives

Through regular engagement sessions, I ensured stakeholders were aligned on deployment timelines, responsibilities, support models, and user impacts.

A key focus was ensuring support teams were prepared to assist employees after launch, with clear escalation pathways and operational processes established prior to rollout.

[ STAKEHOLDER MAP PLACEHOLDER ]
Visual mapping of key stakeholders across divisions, teams, and governance bodies

User Enablement & Adoption

Driving adoption was a critical component of the rollout. To support employees in understanding the value of Zoom AI Companion, I developed a range of user enablement materials, including:

  • SharePoint knowledge articles
  • User guides
  • Frequently Asked Questions (FAQs)
  • PowerPoint training & support materials
  • Email communications
  • Internal announcements

These resources helped employees understand how to use Zoom AI Companion effectively, what capabilities were available, and how AI could improve their everyday workflows.

[ EXAMPLE COMMUNICATIONS PLACEHOLDER ]
Sample user guides, email communications, and training materials

Outcomes & Impact

The Zoom AI Companion rollout successfully introduced enterprise AI capabilities to 20 000+ employees while maintaining Macquarie's security, governance, and compliance standards.

Through structured deployment planning, stakeholder engagement, and user enablement, the initiative achieved consistent adoption across the organisation and established a scalable approach for future enterprise AI deployments.

The project demonstrated the importance of bridging the gap between emerging technology and business adoption—ensuring innovation translates into measurable value for users and the organisation.

Key Learnings

Leading this enterprise AI deployment reinforced several critical insights about technology adoption at scale:

1. Stakeholder alignment is foundational Early and continuous engagement across business, technology, security, and risk teams was essential. Different stakeholders had different priorities—business teams focused on adoption and user experience, security teams on data governance, and engineering teams on technical implementation. Creating shared understanding and alignment across these perspectives was critical to moving the deployment forward.
2. Deployment strategy must balance innovation with readiness While the technology was ready to deploy, organisational readiness required careful planning. A phased approach allowed us to validate assumptions, refine support models, and build confidence before scaling to the entire workforce. Rushing deployment would have risked poor adoption and support challenges.
3. Change management is not optional Technology alone doesn't drive adoption—people do. Employees needed to understand not just how to use AI Companion, but why it mattered and how it would improve their workflows. Communications, training, and ongoing support were just as important as the technical implementation.
4. Cross-functional collaboration defines success This wasn't a technology project—it was a business transformation project enabled by technology. Success required collaboration across communications, training, legal, risk, security, engineering, and business stakeholders. My role as a deployment strategist was to coordinate these efforts and ensure all workstreams remained aligned to a common outcome.
5. Documentation and transparency build trust Developing clear, accessible documentation for both technical and business stakeholders helped build confidence in the deployment approach. Transparency around risks, dependencies, and decision-making processes enabled stakeholders to understand the 'why' behind the 'what' and contributed to stronger buy-in across the organisation.
RAG Chatbot

RAG Chatbot

Hackathon Concept 5 min read

Overview

Add your overview content here - describe what the RAG Chatbot is and its purpose.

Key capabilities included:

Feature 1
Feature 2
Feature 3
Feature 4

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Section 2 Title

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Section 3 Title

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Key Learnings

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OnTrack

OnTrack

Startup Idea 4 min read

Overview

A startup concept built around a simple premise: to be the best individual planning system, and make it universally available.

Key capabilities included:

Feature 1
Feature 2
Feature 3
Feature 4

Add additional paragraphs describing the product vision, features, target audience, and development roadmap.

Product Vision

Add your content about the product vision and market opportunity.

Target Audience

Describe who this product is for and their needs.

Development Roadmap

Outline the development plan and next steps.