Turn AI into ROI, not noise. Deploy practical AI that cuts costs, accelerates workflows, and protects your data—without hiring a full-time team.
Enterprise-grade AI strategy on an SME budget. Pay monthly. No full-time hires. Vendor neutral.
We craft and execute AI strategies that align with your company’s goals and deliver measurable growth.
Stand up 2-3 safe, measureable pilots using your data and existing stack.
Policies for accepable use, sensitive data handling, prompt hygiene, and audiability.
As an Interim Director, embedded data and analytics firmly into the business and brought data into Boardroom decision making. Data played a key role in product and proposition development, market penetration and expansion, finding new customer segments.
Outcome – The Royal Mint achieved its best-ever year in 2021, having opened up multiple new revenue streams and strengthened its decision-making with real-time data insights.
As Head of Modelling, I was entrusted with establishing and leading the Data Science and Predictive Modelling function at GoCompare. This involved not only setting up a robust infrastructure but also driving the development and deployment of a suite of advanced analytical models.
Outcome – Built a scalable Data Science function that delivered measurable improvements in marketing ROI, customer acquisition, and retention strategies.
In my role as Interim Chief Data and Digital Director, I was instrumental in guiding Amber—a rapidly growing and highly profitable business—through a critical phase of digital transformation. Despite its success, Amber faced significant challenges in scaling due to limitations in its technology infrastructure and the absence of a robust data platform.
Outcome – Delivered a complete digital transformation roadmap, introducing modern data architecture, cloud-based analytics, and automation. These changes unlocked new efficiencies, supported rapid scaling, and positioned Amber for sustained growth.
Developed commercial scenarios for Hodge and determined their ROI and CPA of marketing activities based on an Attribution Model. For the first time, a clear and consistent framework was established for calculating true ROI and CPA, addressing the complexity of their product mix.
Outcome – The model provided accurate visibility into marketing performance, enabling senior leadership to allocate budgets more effectively and justify investment decisions with confidence.
As a Senior Data Science Consultant, identified and justified the need for an Attribution Model and provided the roadmap, approach, and methodology for its development and rollout.
Outcome – Successfully initiated the Attribution Modelling project and empowered internal teams to accurately measure marketing ROI, leading to smarter spend allocation and improved campaign performance tracking.
Acted as a Senior Data Consultant to design and deliver the data strategy guiding ULS through its digital transformation programme. Recommended enhancements to Data Architecture, Business Intelligence, team capabilities, and overall technology stack.
Outcome – Implemented an enterprise-wide data strategy that drove operational efficiency, improved data governance, and enabled evidence-based decision-making. Significant investments were realigned to support scalable analytics and future innovation.
FSEW was in high-growth and transformation mode and required someone to look at their architecture solutions, strategy, processes, data sources, and systems to determine the optimal approach. They needed a flexible and scalable strategy that was feasible.
Outcome – A comprehensive strategy was developed and implemented. Link: + Show More
Consulted, developed, and deployed the Marketing Mix Modelling for Oak Tree Mobility and recommended the optimal marketing budget and how and where to invest in marketing channels. Outcome: Potential commercial benefit in excess of £2m over 5 years using the same budget and simply apportioning it across media as recommended by the model.
Outcome – Potential commercial benefit in excess of £2m over 5 years using the same budget and simply apportioning it across media as recommended by the model.
As a consultant, delivered high-level recommendations on team skills, structure, and roles, and job responsibilities. Suggested optimal job descriptions and recruitment resource. Aligned team structure and skills with business strategy and future needs.
Outcome – Recommendations were adopted at Board level and taken forward.
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