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Process purchase orders and supplier data with AI to reduce errors, move faster, and find better deals.
By partnering with Slingr, procurement teams can leverage low-code solutions infused with AI to streamline processes, reduce manual errors, and enhance efficiency. Slingr's platform allows for rapid development and deployment of customized procurement solutions, offering seamless integration with existing systems and workflows. This approach enables businesses to modernize their procurement operations cost-effectively, improving accuracy and scalability while providing a competitive edge in the market.
Consolidate tedious email threads and loose data into tidy records to expedite operations across every aspect of your business.
One-time setup fee plus a monthly license that includes:
- A secure, HIPAA and SOC2-compliant web application with a modern UI
- A documented API system with unlimited user groups
- A dedicated product roadmap to accommodate any additional changes or updates you require
The setup fee is dependent on project complexity.
Depending on the complexity of the workflow, it takes 2-6 weeks to automate most email processes.
Yes! We can begin by automating any repetitive process and add new processes as needed.
Slingr is hosted on the Google Cloud Platform and is certified SOC2 and HIPAA compliant. Slingr products include fine-grain data access controls, encryption at rest and in motion, periodically conducting platform and application-level penetration testing to prevent the wrong person from seeing confidential data.
You will always own your data. During the subscription period, you can access your data via the API (included) and park it anywhere you like. At the end of the subscription, you can export the data directly from the application. As a matter of principle, we hate vendor lock-in, long term contracts, and holding data hostage to make it difficult for you to choose another direction.
We will create an application that shows you the AI parsed data in an application record, so you can edit it and make corrections before it applies to downstream workflows. These corrections will inform the AI so that, over time the number of corrections is minimal.