Environmental risk assessments blend structured data analysis with regulatory interpretation and stakeholder engagement. AI can automate environmental data collection, modelling, and reporting. However, consultants remain vital for interpreting regulatory requirements, contextualising risks for decision-makers, and managing community or stakeholder concerns.
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Environmental Risk Assessment scores 46, a medium disruption risk. AI is strong in data modelling and reporting, while consultants are needed for regulatory interpretation and stakeholder alignment. Significant opportunities remain to leverage AI for innovation and differentiation within this category.
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