XSAIA's Inherited Portfolio
XSAIA brings 25 years of experience at the point where research, academia, emerging technology, consequential decisions and commercial value meet.
The portfolio reflects work led by Dr Layla Dillon through embedded roles and global consulting engagements before founding XSAIA. It now forms the operating foundation of the company.
Selected embedded roles
Microsoft • Luxoft • Cambridge Consultants, part of Capgemini Invent
Work delivered across technology ecosystems including
AWS • Google Cloud • NVIDIA
Strategic AI & Innovation Roadmapping
The challenge
Organisations had AI ambition, technical capability and access to powerful technology ecosystems, but lacked a coherent route from market opportunity to investment, execution and revenue.
The intervention
Led enterprise AI and innovation roadmaps connecting sector demand, product and service strategy, R&D priorities, technical capability, partner ecosystems, governance and commercial execution.
The impact
Shaped an estimated US$40–60 million multi-year commercial opportunity across five sectors.
Held responsibility for and delivered against approximately US$100 million in annual operational target for consumption/subscription based services for AI, Machine Learning and Data Science.
AI Governance, Assurance and Responsible Innovation
The challenge
AI capability was advancing faster than organisational ownership, controls and accountability, particularly across regulated and high-consequence environments.
The intervention
Developed early responsible-AI, ethics and assurance approaches connecting board accountability with policy, commercial strategy, product development, engineering and AI operations.
The impact
Strengthened governance and responsible adoption across financial services, healthcare, energy, manufacturing, aerospace and defence.
The work also contributed to industry and policy discussions as AI regulation and management standards were taking shape, extending responsible innovation into AI for social good, conservation and sustainability.
Commercialisation and Scaled Adoption
The challenge
Promising AI and advanced technologies were frequently stalling between research, proof of concept and commercial use.
The intervention
Connected research, engineering, product, sales, customers and technology ecosystems to identify valuable applications, build investment cases, shape viable propositions and create routes towards production and scale.
The impact
Across four continents, supported AI-enabled products and services progressing towards operational use, customer adoption and repeatable market propositions.
The portfolio spans predictive analytics, computer vision, cybersecurity, pharmaceutical quality control, financial technology, ADAS, 5G, Earth observation, energy optimisation and human-machine systems.