Most AI Pilot Projects Fail. Don’t Be One of Them. Are you looking to leverage AI in your organization? According to a recent MIT report, The GenAI Divide: State of AI in Business 2025, 95% of all AI pilot projects fail to deliver substantial results. Proper preparation is key to success. We work with customers all the time to implement AI in their communications solutions. Using this knowledge and the knowledge of companies who have tried to implement AI (some succeeding, some failing), we have put together a tool to help your organization prepare properly for success. Take our 8 question AI Preparedness quiz to see if your organization is ready for AI solutions and what comes next. And whether properly prepared or woefully wandering, Vertical is here to help you along the journey. Contact us. AI should be used to solve specific problems. One of the key failure points to projects is lack of clarity on what the solution is meant to solve. Without this vision, projects tend to fail because there isn’t a success criteria. Does your organization have clear vision of the problems that AI is meant to address? Yes No It's in progress None Many AI usage scenarios require access to your organization’s data. AI uses this data for solutions such as Agent Assist, chatbots, and call summaries. Data needed includes knowledgebases, constituent records, best practices, organization procedures, and more. Based on those requirements how would you rate your organization’s data readiness for AI? All of our data is organized in well-structured databases with APIs that AI can use to access it. More than half of our data is in well-structured databases with APIs that AI can use to access it. We are currently in the process of moving our data into well-structured databases. Our data is siloed in databases that are not accessible at all. Much of our data is on paper or not documented. None AI requires extremely fast response times in most use cases (sub 750 milliseconds). To achieve this, it may be necessary to host some of your data in the AI platform. Assuming appropriate data security guarantees, are you willing to do this? Yes No We're working on getting buy-in. None While AI tools can search and surface resources from your data, it will not make data tables into end-user friendly resources. The data needs to be customer-ready to begin with. On a scale of 1-10 (10 being best), how user-friendly is your data? Please select your answer 10 (best) 9 8 7 6 5 4 3 2 1 (worst) One of the key failure points identified in the MIT study is lack of clear workflows. Properly integrating AI tools into your current operations requires understanding your organization’s workflows. While the process of adding AI tools will mean changing those workflows (often radically), successful implementation starts with understanding your current processes. Does your organization have a clear understanding of organization workflows? 1-10 scale (10 best) Please select your answer 10 (best) 9 8 7 6 5 4 3 2 1 (worst) To take advantage of AI tools, it is necessary to get feedback from the system, analyze its’ meaning, and make adjustments. AI is a tool, but, like all tools, it can’t be left alone. Monitoring and tweaking the AI tool is critical to success. Do you have the team to perform this function? Yes No We'd like outside help with this. None Success in AI implementations requires buy-in from the whole organization. Top-down change will not work. This can lead to an expensive failure where AI transformation is not used or is bypassed. MIT’s report identifies unwillingness to embrace new tools as the number one cause of project failure. Lack of executive sponsorship was another leading cause. Does your organization embrace this change? This includes leadership, rank and file, as well as enablers such as budget availability and technical resources. 1-10 scale (10 best) Please select your answer 10 (best) 9 8 7 6 5 4 3 2 1 (worst) One of the keys to successful AI projects is selecting a trusted vendor. 90% of executives in the MIT report looked for vendors who are reliable and trustworthy as the key to project success. Do you have a reliable partner who can help you? Yes No We're looking for one None Time's up
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