Bioacoustic monitoring uses soundscape recordings to detect and identify vocal species. We are able to use this approach to gather data on birds, bats, amphibians, and some mammals, making it an extremely versatile approach for tracking ecosystem change. We deploy robust, weatherproof acoustic sensors that can operate autonomously for several weeks at a time, enabling consistent data collection with minimal site interruptions. These devices can be installed and maintained by our field teams or by trained on-site staff, allowing the approach to be highly accessible and scalable. The resulting audio data forms a rich, auditable evidence base for biodiversity reporting. Our advanced AI pipelines analyse large volumes of audio data to automatically detect and classify species calls, dramatically improving efficiency. This automation is paired with expert-in-the-loop verification to ensure reliability of species identifications and to manage false positives, particularly for rare, endangered, or acoustically similar species.