Celigo, the intelligent automation platform built for AI, today announced the publication of a new report in partnership with MIT Technology Review Insights entitled, Bridging the Operational AI Gap. ...
Autore: Business Wire
76% of companies have started production-level AI, but 90% of those that are successful rely on integration platforms to operationalize their AI initiatives
REDWOOD CITY, Calif.: Celigo, the intelligent automation platform built for AI, today announced the publication of a new report in partnership with MIT Technology Review Insights entitled, Bridging the Operational AI Gap. Based on a December 2025 survey of 500 senior IT leaders at U.S. companies, the report reveals that while the majority of enterprises have moved into production-level AI, a massive operational gap exists for those attempting to scale without a unified integration strategy.
The Integration Mandate for AI Success
The findings identify a near-universal commonality among organizations that have successfully moved AI beyond the pilot phase. Instead of treating AI as a standalone tool, it is an integrated part of the business stack. According to the data:
“Enterprises are quickly realizing that AI strategy is really architecture strategy,” said Ronen Vengosh, Chief Strategy Officer at Celigo. “The problem is that most business processes span multiple systems, but if you’re using AI tools within your CRM or ERP, for example, the information comes from within those applications. If AI cannot see across systems, it cannot reason across them.”
The Data Complexity Bottleneck
As AI systems become increasingly autonomous, the report highlights integration platforms as a foundational layer that enables consistent data access, cross-system orchestration and governance. Without this layer, organizations remain trapped in silos:
“In an AI world, we’re learning pretty quickly that having real-time access to the most accurate data is important,” said Shari Lava, Research Vice President, AI and Automation at IDC. “Integration platforms have always been critical, but their role is now becoming more important than ever.”
The Path to an Autonomous Enterprise
Beyond initial deployment, the report indicates that leaders are moving into the next phase of maturity with mostly autonomous workflows. In these high-growth environments, the integration platform has transitioned into a vital governance layer that ensures AI remains reliable and resilient to changing business needs:
“We are seeing a clear shift from AI experimentation to a focus on the infrastructure required for scale,” said Jan Arendtsz, Founder and CEO of Celigo. “This report proves that to move toward agentic workflows that drive actual value, companies must bridge the gap between their disparate applications and their AI models.”
For more information and to access the full report, visit the Celigo website.
Research Methodology
In December 2025, MIT Technology Review Insights surveyed 500 senior leaders, including CTOs, CIOs, and other leaders of IT, engineering, AI, data, and analytics across nine different industries. All respondents work at US companies with annual revenue of $50 million or more, and are pursuing AI in some way. In addition to the quantitative research from the survey, a series of in-depth executive interviews offers firsthand insights into AI operational practices in organizations today.
About Celigo
Celigo puts intelligent automation in the hands of every team, unifying workflows from the predictable to the fully agentic in a single platform. The platform is recognized by G2 as #1 in iPaaS and a Leader in API Management, API Marketplace, and EDI and is the only vendor named a 2025 Gartner® Peer InsightsTM Customers’ Choice for iPaaS. Learn more at: celigo.com.
Fonte: Business Wire