UK Transport Department Uses AI to Speed Up Public Consultations
The UK Department for Transport has deployed generative AI and LLM tools to analyze public feedback on transport policy, cutting analysis time from months to hours and saving an estimated £4 million annually.
The department manages 55 consultations yearly, each generating over 100,000 responses. Manual review of this volume previously stretched timelines and tied up staff capacity. A new Consultation Analysis Tool, built with Google Cloud and the Alan Turing Institute, processes these datasets automatically using advanced AI that identifies key themes with up to 90% accuracy.
How the System Works
The tool extracts recurring topics and public sentiment from large response sets, allowing policy teams to spot patterns quickly and respond to concerns faster. This frees expert staff to focus on decision-making rather than data sorting.
The department has extended AI use beyond consultation analysis. Cloud-based systems now support sustainable transport decisions and help draft responses to public inquiries by retrieving relevant policy data and generating structured replies.
Human Review Remains Central
The department treats AI outputs as a starting point, not a final answer. All AI-generated analysis undergoes review for accuracy, fairness, and bias before policy experts use it. Final decisions stay with human staff.
This approach reflects how AI for Government can strengthen evidence-based policymaking when transparency and accountability remain embedded in the process. The model shows that administrative efficiency gains don't require removing human judgment from the chain.
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