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Disclaimer: PRAXIS does not provide legal advice, and nothing in this article should be construed as such or relied upon as a substitute for consultation with qualified legal counsel. The content reflects a variety of perspectives, experiences, and points of view that we have encountered over many years serving as technology escrow agents. ____________________________________________________________________________ Why […]

Protecting AI Software and Enterprise Customers AI and emerging technology software are transforming business operations, but it also introduces unique risks. For software developers, these risks are not only technical, but they can also affect client operations, adoption, and trust. Enterprise customers often require assurances that software will remain maintainable, deployable, and secure, even if

Why Enterprise Trust Is a Critical Barrier in AI Software Sales AI and emerging technologies are moving from experimentation into enterprise production environments. For software developers, technical capability alone is no longer sufficient to secure enterprise adoption. Buyers must also be confident that the solution can be supported, maintained, and protected over time. Enterprise procurement,

Outsourcing software development and engaging in works-for-hire agreements are long-standing practices for enterprise organizations seeking flexibility, cost efficiency, and access to specialized expertise. While these models offer clear advantages, they also introduce traditional software risks that directly impact business continuity when vendor relationships change or end. For enterprise buyers, the primary concern is not whether

Modern manufacturing and industrial organizations depend heavily on specialized software to manage supply chains, production planning, logistics, quality control, and regulatory compliance. From ERP and MES platforms to supplier portals and custom-built applications, software is now deeply embedded in operational continuity. While these systems enable efficiency and scalability, they also introduce a critical risk that

Artificial intelligence is no longer an experimental capability reserved for innovation teams. Across industries, AI platforms now support revenue generation, customer engagement, risk analysis, and core operational decision making. As reliance on AI grows, so does the importance of selecting vendors that can support long-term business objectives without introducing unacceptable risk. For CIOs and enterprise