Why Most Enterprise AI Failures Aren't Technical

Agentic AI , Artificial Intelligence & Machine Learning , Next-Generation Technologies & Secure Development Why Most Enterprise AI Failures Aren't Technical OpenText CIO Shannon Bell on Governance and Operational Maturity Jennifer Lawinski • June 1, 2026     Credit Eligible Get Permission Shannon Bell, executive vice president, chief digital officer and CIO, OpenText As enterprises accelerate artificial intelligence adoption, many are discovering that scaling agentic systems is less a technology challenge than an operational one. Shannon Bell, executive vice president, chief digital officer and chief information officer at OpenText, said the biggest misconception in enterprise AI is the belief that production failures stem primarily from immature models or weak prompting. See Also: Know Thy Enemy: Threats to Cyber Resilience In reality, Bell said, AI systems often fail because organizations lack the governance, process discipline and contextual data management required to support autonomous decision-making at scale. "AI success ultimately comes down to people and process, governance, operational discipline and not the technology," Bell said. AI demos typically succeed because they operate in controlled environments with clean data, limited edge cases and narrow workflows, she said. Production environments are fundamentally different, exposing AI systems to inconsistent data, fragmented processes and missing accountability structures. A central challenge is context. Bell said enterprise AI performance is driven less by prompting techniques and more by how well organizations govern data, manage lineage and connect information to operational business processes. Without that foundation, AI outputs become difficult to validate, audit or defend, Bell said. In this video interview with ISMG, Bell discussed: Why enterprise AI failures are often operational rather than technical; How governance and data context shape autonomous AI performance; Why CIOs must align AI use cases with business risk tolerance and accountability. Bell oversees IT and digital systems, data platforms, networks and communications, cloud operations, security and compliance at OpenText. She has more than 25 years of experience in the technology industry, and has led major transformation, integration, product strategy and operations initiatives across global markets. Before joining OpenText, Bell held senior leadership roles at Rogers Communications and at Amdocs.