Scout is Aclymate’s AI sustainability guide, built into the Aclymate website and platform to explain concepts, guide workflows, and help users find the right next step.
Scout is intended to make sustainability work less intimidating. It can answer plain-language questions, provide contextual guidance, support onboarding, and help users navigate carbon accounting, reporting, certifications, offsets, and RECs. Scout is a guide rather than an autonomous decision-maker; users remain responsible for reviewing data, answers, and external claims.
Scout is available through the Aclymate website and is integrated into relevant platform experiences.
Website visitors can use Scout to learn about sustainability topics and find relevant Aclymate resources, products, or next steps. Customers can use Scout within the platform for contextual assistance with workflows and terminology. Availability and specific actions may vary by product, feature release, and user permissions.
Scout can assist with data collection and explanation, but it does not independently approve an official, audit-ready, or assured carbon footprint.
The system of record should remain Aclymate’s structured carbon accounting data, calculation logic, source documentation, and user-approved inputs. Final results depend on boundaries, data quality, factors, and methodology. Expert review or independent assurance may be appropriate for higher-stakes reporting. AI-generated language should never be treated as proof by itself.
Scout does not replace expert judgment, legal advice, audit or assurance, a certification body, or the customer’s responsibility for accurate submissions and claims.
AI is most useful for education, navigation, categorization, first drafts, data assistance, and finding relevant information. It can be wrong or incomplete when context or evidence is missing. Higher-stakes outputs should be reviewed by the customer, Aclymate experts where included, and appropriate legal, accounting, assurance, or certification professionals.
Aclymate’s current Privacy Policy, DPA, and sub-processor list identify Anthropic’s Claude for AI-assisted platform features and internal operational support.
The legal documents describe Claude use for data analysis, emissions calculations, integration development, and AI-assisted platform features. The knowledge base should not claim that every Scout interaction uses one fixed model or version unless Product and Engineering publish that architecture. The sub-processor list is the current source of truth.
No. Aclymate’s Privacy Policy and DPA state that customer data is not used to train general-purpose AI models.
AI technologies process data only to deliver and improve the contracted services and to create permitted aggregated and anonymized information. The DPA also requires AI sub-processors to follow Aclymate’s data-protection obligations. Customers should review the current DPA and sub-processor list for authoritative terms.
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