In the rapidly evolving landscape of generative AI, selecting the right vendor has become increasingly challenging. To help organizations make informed decisions, Squirro has developed the Enterprise GenAI Evaluation Checklist. This comprehensive guide is designed to streamline the vendor selection process and can serve as a template for RFP preparation, helping organizations clearly communicate their needs and expectations to potential vendors.
With over two-thirds of AI initiatives failing due to poor preparation, ensuring your organization is AI ready is critical. Strengthening strategic alignment, data and infrastructure readiness, and operational capacity are essential to closing gaps before they derail projects, increasing success rates and minimizing costly setbacks and delays
Our checklist provides a systematic approach to evaluating your Enterprise GenAI needs, ensuring you assess capabilities, compatibility, and value propositions effectively. This includes:
We encourage you to use this checklist to structure your GenAI vendor evaluation process. Should you require further assistance or wish to explore tailored solutions, our team of experts is ready to support you.
Not all enterprise AI platforms are created equal — especially when privacy, security, and accuracy matter at scale. At Squirro, we deliver a hardened enterprise GenAI platform trusted by central banks and global enterprises.
In our recent comparative analysis of Squirro versus typical SaaS GenAI offerings, several critical distinctions emerged that highlight Squirro's superiority in key areas for regulated industries.
Unlike many SaaS GenAI solutions, which are often confined to cloud-only deployments and offer basic access controls, Squirro prioritizes security and privacy. We provide private cloud and on-premises deployment options, along with robust access control lists and real-time user-group management. These features are essential for regulated environments where data protection is paramount.
Discover the full comparative analysis detailing Squirro's features in terms of performance, accuracy, and enterprise readiness.