HOME/Insights.../Why 95% of Enterprise AI Pilots Fail – and How to Build the Right Foundation with ProjectVIEW ERP Why 95% of Enterprise AI Pilots Fail – and How to Build the Right Foundation with ProjectVIEW ERP Vassilis Sakorafas, Chief Technology & Innovation Officer, DANAOS Projects 2 min read September 24, 2025 Updated September 26, 2025 AI & ProjectVIEW AI A recent report from MIT revealed a striking fact: 95% of enterprise generative AI pilots are failing. For many organizations, expectations are high, but results are disappointing. The reason is simple: most companies are applying AI on top of disorganized data, unstandardized processes, and unsecured collaboration. Without a structured foundation, AI initiatives collapse under the weight of inconsistent inputs and siloed operations. In other words—garbage in, garbage out. The Root Cause of AI Failure Enterprises often rush into AI without first addressing the basics: Data Fabric – Corporate data is scattered across spreadsheets, legacy systems, and disconnected applications. Process Discipline – Workflows are inconsistent, varying by department, project, or even individual user. Secure Collaboration – Users, vendors, and subcontractors lack a unified and controlled environment to exchange information. AI thrives only when the data it consumes is structured, reliable, and secure. Otherwise, the outputs are meaningless, creating frustration and wasted investment. Building the Foundation: From ERP to AI This is where ProjectVIEW ERP comes in. Unlike generic systems, ProjectVIEW is a construction-specific, enterprise-grade ERP that creates the single source of truth needed for AI to succeed. At its core lies the trilateral connectivity between BoQ ↔ WBS ↔ Cost Codes, weaving corporate data into a common fabric that reflects the DNA of the company . This ensures that every project dimension—time, cost, and resources—is aligned in real time. ProjectVIEW ERP empowers organizations to: Standardize processes across all projects, sites, and departments. Secure access and collaboration, whether in the office, on site, or with external stakeholders . Eliminate inefficiencies and provide continuous cost and process control. With this structured environment, AI applications stop being pilots and start becoming value-driving solutions. From Chaos to Competitive Advantage Companies that rush into AI without first fixing their foundations will continue to fail. But those who structure their data, standardize their processes, and secure their collaboration environment will unlock AI’s true potential. ProjectVIEW ERP is not just an ERP—it is the enabler that transforms AI from hype into measurable impact. 👉 Don’t build AI on sand. Build it on rock. #ERP #AI #ConstructionTech #DigitalTransformation #ProjectVIEW Industries:Construction & Infrastructure Topics:AI & ProjectVIEW AI Tags:AI in construction & ERP Share: About the author Eng. Vassilis Sakorafas Chief Technology & Innovation Officer, DANAOS Projects Eng. Vassilis (Bill) Sakorafas is Chief Technology & Innovation Officer at DANAOS Projects and a subject-matter expert in enterprise software architecture, cloud-native platforms, systems integration and data security. With more than 15 years of experience designing and developing enterprise business applications, he directs the continuous development of ProjectVIEW ERP and all DANAOS Projects software, sets the company's technology vision and… See all articles Email LinkedIn More insights on AI & ProjectVIEW AI See all articles → AI & ProjectVIEW AI+1 ProjectVIEW ERP v12 Is Now Available to All Clients Dimitris Mitsopoulos October 16, 2026 · 2 min read Read more → AI & ProjectVIEW AIConstruction & Infrastructure The Power of Voice: How ProjectVIEW AI Transforms Construction ERP Through Headless Operations Christos Emmanouilidis October 13, 2026 · 10 min read Read more → AI & ProjectVIEW AIConstruction & Infrastructure+3 AI in Construction, Mining & Shipyards: Why Industry-Specific ERP Is the Foundation of Intelligent Operations Christos Emmanouilidis October 12, 2026 · 17 min read Read more → Previous Article Next Article
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