Audit Agent.

Makes scheduling and capacity data accessible through natural language. Ask questions about availability, progress or risks, or let Byte directly perform actions such as creating tasks, moving or recording absences. This speeds up daily planning, reduces coordination overhead and provides instant insight into bottlenecks.

Automatically creates a complete planboard based on a short description. Stages, statuses, fields, views and sample tasks are set up instantly so teams can start without configuration work. This speeds up go-live, prevents messy setup and provides a consistent structure that encourages adoption.

Analyzes complete audit files and automatically validates checkpoints and underlying documentation. Invoices and attachments are compared with procurement and contract data, after which discrepancies are made structurally transparent in a substantiated audit trail. This makes internal audits faster and more reproducible, with more uniformity and stronger substantiation towards the external auditor.

Automatically reads invoice lines and order lines without using traditional templates. Recognizes line items via LLM technology and displays them directly in the booking screen, even for complex documents with many lines. This reduces processing time, reduces manual setup and makes the booking process faster and more reliable.

Incoming emails are analyzed for content and intent. Messages are linked to the appropriate process or file, with suggested actions or draft responses. This speeds up processing and prevents missed follow-ups.

Files are made searchable and instantly insightful. Questions about transactions, documents or notes are answered with relevant context from the complete file. This reduces your search time and supports you in quick decision making.

With Quinn, your customers receive immediate answers to questions about products, transactions and statuses. Routine requests are handled automatically, while complex issues are directed to the right people. This increases service quality and reduces pressure on your service teams.

Brings together financial data from different systems into one secure and consistent data layer. AI applications therefore have up-to-date and reliable information for analysis, control and reporting. This provides the technical basis for scalable automation and prevents fragmented or conflicting data.

Automatically generates the correct formula based on a simple description in natural language. Users no longer need to know complex syntax or experiment with trial-and-error. This speeds up the preparation of calculations and reduces the risk of errors in financial models.

Compiles credit reports based on current financial data and risk profiles. Analyzes payment behavior, identifies discrepancies and presents insights clearly to support credit decisions. This increases consistency in assessment and reduces risk exposure.