Carl Lehmann is a senior research analyst in the 451 Research Applied Infrastructure & DevOps and Cloud Native research channels within S&P Global Market Intelligence. He leads coverage of process automation and integration in hybrid IT and cloud-native architectures, as well as how hybrid IT affects business strategy and operations. His research covers digital automation platforms (including workflow and business process management suites), robotic process automation technology, process discovery and mining technology, and hybrid integration platforms (including integration PaaS and application programming interface management). Previously, Carl was a principal analyst at BPMethods, where he advised clients on business strategy and process management using the practices in his book “Strategy and Business Process Management: Techniques for Improving Execution, Adaptability, and Consistency," published by Taylor and Francis Group. Carl was also a senior VP of strategy and product management for a B2B integration firm (now OpenText) and served 10 years as VP of research for IT advisory firms Gartner and META Group advising Fortune 500 clients. Carl's career began as a project manager for AT&T and a product manager for Digital Equipment Corporation (now Hewlett Packard Enterprise). He is a graduate of Boston University School of Management.
Databook offers an AI-powered platform that helps enterprise sales teams build strategic customer relationships. It delivers real-time account insight, automates planning and prep, and generates personalized materials to support high-value deals.
The challenges associated with managing the complexities of IT tool sprawl is driving the need for, and emergence of, a new generation of AI-powered unified IT automation platforms, which will likely play a critical role in the platform-engineering initiatives of enterprise IT operations.
The vendor's integration platform-as-a-service offering has been enhanced in a strategic move to position Tray.ai as a contender in the emerging agentic AI markets, transforming its flagship Universal Automation Cloud into a platform for AI enablement and delivery.
Modern iPaaS has evolved into hybrid integration platforms, connecting data, apps and processes in complex hybrid IT environments. The addition of generative and agentic AI is transforming these platforms into intelligent, autonomous orchestration layers.
The vendor's approach to agentic process automation focuses on the integration of RPA and AI to develop intelligent and potentially autonomous digital workers. It emphasizes how these and other technologies work together to facilitate autonomous decision-making and adaptive processes to enable the future "autonomous enterprise."
The company is taking a platform engineering approach to create a unified platform for site reliability engineering and DevOps teams to integrate the tools of their choice into a single pane of glass, augmented with AI-generated insight into development and deployment productivity and results.
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