CTO: Enterprise AI Agents Require Monitoring and Oversight
InformationWeek, Friday, July 31st, 2026
Regulated industries like travel need composable architecture and explainability processes to ensure AI agent accountability and decision transparency, writes a CTO.
Paul Curtis, CTO of easyJet, argues that enterprises deploying autonomous AI agents must establish robust monitoring and interpretability strategies before deployment.
He emphasizes that organizations need to log agent reasoning, build decision dashboards, and create feedback loops for retraining, particularly in regulated industries like travel and hospitality.
Curtis highlights that a 2025 MACH Alliance survey found accountability concerns among 38% of enterprise decision-makers, and advocates for composable, API-first architecture as essential infrastructure for effectively managing multiple agents across customer-facing and operational functions.