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Description
Both AI and non-AI models require effective risk management and oversight to function optimally. Fairly offers a continuous monitoring system designed for robust model governance and oversight. This platform facilitates seamless collaboration between risk and compliance teams alongside data science and cyber security professionals, ensuring that models maintain reliability and security standards. Fairly provides a straightforward approach to staying current with policies and regulations related to the procurement, validation, and auditing of non-AI, predictive AI, and generative AI models. The model validation and auditing process is streamlined by Fairly, which grants direct access to ground truth in a controlled environment for both in-house and third-party models, all while minimizing additional burdens on development and IT teams. This ensures that Fairly's platform not only promotes compliance but also fosters secure and ethical modeling practices. Furthermore, Fairly empowers teams to effectively identify, assess, and monitor risks while also reporting and mitigating compliance, operational, and model-related risks in alignment with both internal policies and external regulations. By incorporating these features, Fairly reinforces its commitment to maintaining high standards of model integrity and accountability.
Description
Grateful is an innovative platform that digitizes the management of cashless tips and TRONC, revolutionizing the collection, tracking, and distribution of gratuities in the service and hospitality sectors. By eliminating the need for manual cash handling and outdated spreadsheets, it implements an automated and transparent system that guarantees timely and fair earnings for frontline employees. Customers can easily tip using QR/NFC technology integrated with point-of-sale systems, allowing for payments through Apple Pay, Google Pay, or cards, while businesses benefit from a unified dashboard to oversee tip revenues, manage distributions, and customize split rules, all while adhering to tax and labor laws, such as HMRC guidelines in the UK. Moreover, team members gain instant access to their earnings statistics by shift, day, or specified period, can receive feedback and ratings, and have the option to withdraw their tips directly to their bank accounts without the delays associated with payroll cycles, significantly enhancing employee satisfaction and retention. This modern approach not only streamlines operations but also fosters a sense of financial security among staff, ultimately contributing to a more positive workplace environment.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Fairly
Country
Canada
Website
www.fairly.ai/
Vendor Details
Company Name
Grateful
Country
United Kingdom
Website
grateful.net