A true contract management system starts here: every contract lives in one platform instead of scattered across inboxes, shared drives, or supplier records.
This is where contract management software should earn its keep. Upload a contract as a PDF and SpendQube automatically reads it and extracts the fields that matter, no manual data entry required.
AI extraction is designed to be checked, corrected, and improved at every stage of the contract lifecycle and not blindly trusted.
A contract management system is only as valuable as the data it feeds elsewhere. Contract data doesn’t sit in isolation – it connects directly to how spend is categorized and tracked.
No two organizations, or contract types, need the same data, which is why the best contract management software adapts to you rather than forcing a one-size-fits-all template.
Define which fields to extract per client, category, or contract type (IT contracts need different fields than marketing or facilities contracts).
Refine the instructions behind any extraction or categorization task directly, without needing a developer.
Save new prompt versions and test them against sample contracts before rolling out changes across the platform.
Choose which AI model runs a given task, whether that’s extraction, categorization, or review, so you can pick the one that performs best for a particular contract type or use case.
SpendQube handles all standard procurement contract types: master service agreements, statements of work, purchase orders, terms and conditions, framework agreements and subscription contracts. Extraction fields can be configured to reflect the specific requirements of each document type.
SpendQube processes PDF files. If contracts are currently stored in other formats, they can be converted to PDF before upload. The platform is designed to handle real-world contract documents, including lengthy, unstructured agreements.
Accuracy depends on the quality and structure of the source document, but SpendQube provides a confidence score for each extracted field so you know exactly where to focus review. Where extraction is uncertain, the reviewer is directed to the relevant paragraph in the source document to verify the result directly.
Yes. Extraction fields are configurable by contract type and client requirement. If the standard field set does not reflect how your organization manages contracts, fields can be added, adjusted or removed. Built-in prompt management tools also allow extraction logic to be refined over time as the system learns from reviewer feedback.
SpendQube links contract data directly to spend analysis. Contracts are automatically categorized when uploaded, and contracted values can be compared against actual supplier expenditure, making it straightforward to identify overspend, underutilized licences or suppliers where the contracted scope no longer reflects what is being purchased.
Yes, in fact, this is the most common starting point. Many organizations begin with contracts spread across emails, shared drives, and supplier systems. SpendQube is designed to consolidate from that position, and the onboarding process includes support for locating and uploading existing contracts from wherever they currently sit.





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