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CASE STUDY / Consulting
Highway Transport Authority AI Pilot
Highway Transport & Public InfrastructureLed AI opportunity identification, proof-of-concept planning, and organizational training to convert highway digital transformation goals into executable pilots.
Delivery Details
Centered on highway transport operations, the programme used stakeholder interviews, service-process mapping, and pain-point analysis to identify valuable AI applications, then translated priority use cases into PoC scope, data requirements, validation criteria, risk assumptions, and delivery timelines. Training, case discussions, and workshops improved internal understanding of AI evaluation, procurement requirements, governance responsibilities, and implementation.
Industry Context
Highway and public-infrastructure operations span asset maintenance, transport services, administration, and risk management, with data distributed across systems and owners. AI pilots must clarify the real business problem, available data, and procurement and governance constraints before technology can fit operational reality.
Business Problem
Broad digital transformation goals lacked an execution mechanism linking business needs, data feasibility, and AI pilots.
What I Built
Mapped processes and pain points, prioritized AI use cases, and defined PoC scope, data needs, and success criteria.
Business Impact
Created a shared method from opportunity discovery to pilot delivery for future organizational adoption.
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