Applying AI to an operational task.
Proof-of-delivery documents are part of the day-to-day work of a freight business. At Ofload, my work included training and deploying a custom document AI model for their processing.
The system achieved 70% auto-approval and removed manual workload equivalent to three full-time roles.
The result was a measurable reduction in manual processing, with AI applied directly to the work of running the business.
A broader foundation in applied AI.
My work at Ofload also included deploying machine learning models for freight cost prediction, load optimisation and carrier recommendation, alongside the data infrastructure supporting the platform.
That experience informs how I approach AI and automation: start with the work to be improved, understand the data, and define a useful business outcome.
Relevant experience for your business.
- Identifying a defined operational task that can benefit from automation.
- Taking a model through to a working business application.
- Connecting data, software and operational processes.
- Measuring the effect on manual work and processing capacity.
Selected results achieved during my tenure as CTO at Ofload, 2021–2025. The workload figure describes equivalent processing effort.