Campfire uses AI to read and interpret contracts in any format, including PDFs, Word files, scanned documents, and email attachments. It identifies and structures key commercial terms such as contract value, payment schedules, pricing tiers, service levels, liability limits, and renewal conditions. There is no need for manual templates, as the system adapts to different document styles. Extracted data is checked against business rules and existing records, with any inconsistencies or missing details flagged for review. This gives finance teams fast access to accurate contract data without manual extraction.
Campfire’s extraction engine improves over time by learning from user corrections and validations. It builds an understanding of how contracts are written within your organisation, increasing accuracy with continued use. Teams can upload large volumes of contracts to digitise legacy archives quickly, turning static documents into structured, searchable data. Each extracted field includes a confidence score, allowing reviewers to focus only on areas that need attention while letting high-confidence data move forward automatically. This reduces review time while maintaining data quality.
Campfire connects extracted contract data directly to billing, revenue recognition, and accounts payable processes. Key financial terms such as payment milestones and billing triggers are identified within the contract and used to create the relevant records automatically. This removes the need for manual data entry between contract signing and financial execution. The system also highlights unusual or non-standard terms, helping teams assess risk across the contract portfolio. With structured contract data feeding into financial systems, businesses can operate with greater accuracy and control.
Why Campfire Stands Out
