WATERSHED continuously updating to keep pace with changes to business and emissions data.
• Embedded sustainability intelligence – AI grounded on what great sustainability work actually looks like, not just what the internet says about it. Watershed’ s sustainability AI is encoded with the expertise of world-class practitioners who’ ve spent careers building corporate sustainability programmes and leading climate research. This domain-specific layer is what separates tools that sound helpful from tools that are actually right.
• Safeguards and transparency – every output is verifiable, auditable and controllable. Watershed AI combines system-level evaluations, with recurring task evaluations, all underrun by an audit trail and transparency features like match scores. Sustainability AI should have rigorous evaluation systems that check for accuracy, consistency, and relevance. Watershed AI includes human review with a carbon accounting expert each year.
A quick example of why this matters: when we tested generic models on draft sustainability reports, we saw failures like hallucinating executive quotes, misreading methodology changes, or over-disclosing risks. Thoughtfully-designed sustainability AI prevents those mistakes.
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