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CASE STUDY / Consulting
Major Public Transport Operator AI Pilot & Capability Building
Public Transport & Smart MobilityServed as AI planning consultant and trainer to identify railway AI opportunities, shape pilot roadmaps, and build internal delivery capability through workshops.
Delivery Details
This engagement supported a major public transport operator's AI-enabled digital transformation. Stakeholder interviews, process mapping, and opportunity discovery were used to prioritize candidate use cases by business value, data feasibility, operational impact, and delivery risk, producing executable pilot scopes, validation criteria, and scale-up paths. Case-based training and cross-functional workshops aligned business, technology, and management teams on the AI lifecycle, data ownership, acceptance methods, and long-term governance.
Industry Context
Major public transport operations require reliability, safety, and cross-functional coordination. AI adoption cannot be judged by model performance alone; it must account for legacy systems, data ownership, operating processes, and workforce adoption, making a governable and testable pilot design essential.
Business Problem
Railway operations offered many AI opportunities, but priorities, data readiness, and delivery ownership lacked a shared framework.
What I Built
Combined interviews, use-case assessment, and workshops to define pilot value, risks, data needs, and validation methods.
Business Impact
Turned broad AI ambition into an actionable pilot portfolio while strengthening internal capability for adoption.
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