Sustainability audit and assurance validate the accuracy, completeness, and reliability of ESG and carbon data disclosed in reports. It ensures that sustainability metrics meet regulatory and stakeholder expectations, providing confidence in the reported outcomes.
Sprih uses AI-driven data quality engines that continuously audit incoming data, flag anomalies, benchmark against industry standards, and recommend corrections—ensuring accurate, verifiable, and audit-ready sustainability metrics from the start.
An auditable data trail records every data entry's source, timestamp, user, and change log. This full transparency allows auditors to trace all reported values back to their origin, eliminating ambiguity and ensuring compliance with assurance standards.
Sprih’s AI engine helps ensure audit-ready data in real time, detecting inconsistencies, validating against external benchmarks, and providing recommendations for corrections. This proactive approach enhances data integrity before the audit stage.
Yes. Sprih supports custom emission factors tailored to your region, industry, or compliance needs. It also keeps global emission factors updated, with full visibility into sources, vintages, and regional applicability.
