Case studies

Selected work

Each case follows the same shape: the challenge, my part in it, and what came out. Client details are sanitised, and no confidential documents, systems or data are shown.

Organisation building

Establishing AI Enterprise Solutions

1 of 7 founding members · 40+ hires supported

Problem & context: Scicom set up a new AI Enterprise Solutions department with a founding team of seven. It needed an operating foundation (hiring, administration, governance and a formal set-up) at the same time as its first projects began.
My role: One of the seven founding members. I took significant responsibility for governance, administration, hiring and departmental set-up.
Approach: Supported the hiring of 40+ people into the department
Handled administration and formal departmental set-up
Coordinated operational activity so delivery teams could focus on delivery
Helped establish the department's social media presence
Collaboration: The other founding members, department leadership, and the recruitment and support functions involved in building a new team.
Outcome: An operating foundation of people, structure and governance for the department's delivery work to build on.
Skills demonstrated: Organisation building
Hiring coordination
Governance set-up
Ownership beyond the job description

Enterprise AI delivery Sanitised

Working across an enterprise AI programme

Contributions across four programme workstreams

The documents behind this work

User journeys The steps a real person takes through the service, agreed before each step is built.
Functional requirements (FRS) What the system must do, written as numbered requirements that builders, testers and the client all sign off against.
System design visuals How the parts of the solution fit together, drawn so technical and business reviewers can check the same picture.
Data governance requirements Rules for how data is owned, protected, kept and accessed, so the AI only uses what it is allowed to.

Illustrations only. No real client documents, systems or data are shown.

Problem & context: A major enterprise AI initiative with parallel workstreams, where business, technical and governance stakeholders each needed different information in different forms.
My role: Supporting several workstreams within the programme rather than a single narrow track.
Approach: Coordinated and documented user journeys and processes
Contributed to the functional requirements specification (FRS)
Prepared System Design Authority visuals by gathering technical inputs and turning them into material stakeholders could review
Gathered data-governance requirements and coordinated responses
Collaboration: Technical specialists, project teams, governance stakeholders and management, with information passing between groups that don't share the same vocabulary.
Outcome: Documentation and visuals that let different stakeholder groups review the same work, and a track record of operating across several parts of an AI programme at once.
Skills demonstrated: Requirements gathering
User journeys
Technical documentation
Stakeholder coordination

Governance & data compliance Sanitised

Governance documentation for a major telecoms client

Key coordination and preparation role

The documents behind this work

Data governance requirements Rules for how data is owned, protected, kept and accessed, so the AI only uses what it is allowed to.
Compliance documentation Answers from several teams gathered into one document that shows how the client's requirements are met.

Illustrations only. No real client documents, systems or data are shown.

Problem & context: A major Malaysian telecommunications client, one of the company's largest, required a governance and data-compliance document. The information it needed was spread across several teams.
My role: A key coordination and preparation role on the document.
Approach: Gathered the required information from the teams that held it
Coordinated responses to governance requirements across teams
Prepared documentation supporting the client's compliance requirements
Collaboration: Technical, project and governance contributors across the department, working to the client's requirements.
Outcome: A governance and compliance document assembled from many contributors for one of the company's largest clients.
Skills demonstrated: Data governance
Compliance documentation
Cross-team coordination
Careful information handling

Internal prototype

Cost, budget and expense tracking

Working prototype

Problem & context: Budgets, payments and expenses for project work were not visible in one place, which made financial follow-up slow.
My role: Designed and built the prototype.
Approach: Structured tracking for budgets, actual payments and expenses
Added finance form references and reconciliation fields
Collaboration: Shaped around the project and finance follow-up I was already coordinating.
Outcome: A prototype internal tracking solution aimed at clearer project financial visibility. It is a prototype, not a production finance platform.
Skills demonstrated: Process design
Financial tracking
Practical prototyping

Operations & e-commerce Before AI

E-commerce operations and process improvement

49% → 90% reporting efficiency · 30%+ of event sales via preorder

Problem & context: Online retail operations across several platforms with roughly 200 SKUs, overseas suppliers and manual reporting.
My role: Managed operations across platforms, stock, suppliers and reporting.
Approach: Automated reporting formulas and removed manual data entry, lifting efficiency from roughly 49% to 90%
When stock ran short at an event, helped set up a preorder process on the spot
Built an Excel-based point-of-sale for an exhibition, working with a barcode scanner, an office laptop and the bank terminal
Sourced and vetted suppliers in China, including at the Canton Fair, and arranged EXW, FOB and DDP shipments
Collaboration: Suppliers, couriers, sales platforms and customers.
Outcome: The improvised preorder process accounted for more than 30% of that event's sales, and reporting became far less manual.
Skills demonstrated: Process improvement
Inventory & logistics
Supplier management
Problem solving under pressure