· Founder & Principal Consultant
Founder & Principal ConsultantAdam leads JourneyRx’s operational troubleshooting, bringing 15+ years of experience across process improvement, quality assurance, software engineering and data analytics.
He connects what happens on the ground with the information and technology behind it: observing the work, examining the evidence and translating findings into practical changes.
He holds a BSc in Mathematical Physics from the University of Nottingham.
At Rolls-Royce Aerospace, Adam worked as a solutions developer supporting operational excellence, building business intelligence for manufacturing, maintenance and wider operational teams.
That work connected operational questions with information people could use in day-to-day decisions.
His experience includes predictive-maintenance analytics for Siemens rail projects and railway field QA: observing operations, reviewing installation and calibration, and turning findings into clearer guidance and corrective actions.
Cross-site reviews helped identify recurring problems and improve instructions for installers and operators.
He later led data automation at a consumer behaviour research and analytics business, improving workflows through integration, automation and better use of data.
The focus was repeatable work, useful operational information and less dependence on repeated manual effort.
Talk to the people doing it. Trace real examples. Understand the value the process needs to deliver and where it breaks down.
Make delays and rework visible. Test explanations, record uncertainty and connect recommendations to the business problem.
Simplify the process and apply technology where it helps. Agree responsibilities and measures so the team can assess the result.
JourneyRx supports operationally complex organisations, from smaller businesses with difficult handoffs to enterprise teams working across sites and systems. Engagements can be remote or local within the Greater Toronto Area.
Relevant experience
Selected experience from Adam’s work in maintenance analytics, field quality and global data operations. Read the business question, the approach and what the evidence supports.
Maintenance analytics
Investigating unexpected parts usage to support maintenance decisions and lifecycle cost forecasting.
Read the study: MRO anomalies
Data operations
Making fragmented data operations more repeatable through standard workflows, automation and useful process measures.
Read the study: Global data operations transformation
Field quality assurance
Tracing recurring field quality issues to installation, calibration and guidance improvements.
Read the study: Railway QA site audits
Enterprise AI architecture
An architectural approach to helping business users investigate issues across enterprise systems, with access controls and traceable evidence.
Read the study: Enterprise Quality AI AssistantStart with a free 20-minute conversation with Adam. We will discuss the business effect and an appropriate first engagement.