An example of such tools would be one that automatically picks up application intent, creates stable tests based on it, runs these tests, self-diagnoses and self-heals. An MSP or IT advisor who helps customers identify and deploy these in their software development will create great ROI immediately. Measure what matters Among enterprises using AI testing tools, 89 percent report positive ROI, showed the Wakefield Research findings. That sounds great until you look at what they measure. The research above found that teams tend to emphasize speed and output and give far less attention to defect escape rates or post-deployment incidents. This is another place where MSPs add real value. They help enterprises build KPIs that tie their AI investments to business outcomes. Developer productivity and release velocity still belong on the dashboard, but they should sit next to production incidents, escaped defects, remediation time, release confidence and customer impact. The question to ask is not, “Did AI help us produce more code?” It is, “Did AI help us deliver better software safely?” If a client can only answer the first one, they only see half the picture. Two-thirds of surveyed organizations said their worst software-quality incident in the past year cost at least $500,000. Nearly four in 10 said they lost a major customer because of a software defect. The scale of these numbers makes AI code release assurance a conversation for the whole leadership team. A CIO, CISO or board member will pay attention to those figures. When quality is framed as revenue, reputation and customer retention, it stops being an engineering topic and becomes a business one. MSPs that translate a technical verification challenge into plain business risk will earn a bigger seat at the table as AI adoption grows. AI removed one of software development’s oldest limits: the speed at which people write code. It did not remove the need to verify that code before customers depend on it. For partners, the opportunity is bigger than helping customers adopt AI. The next era of the channel will be defined by assurance: helping enterprises prove that software generated at machine speed is safe to release at machine scale. As AI-generated code becomes routine, MSPs and advisors can become the verification layer between rapid development and production, embedding continuous validation and measurable safeguards into the AI stack. o Prince Kohli is CEO of Sauce Labs with nearly 30 years building AI-driven enterprise solutions. 15 FALL 2026 | CHANNELVISION
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