Carl Lehmann is a senior research analyst in the Applied Infrastructure & DevOps and Cloud Native research channels at 451 Research from S&P Global Energy Horizons. He leads coverage of process automation and integration in hybrid IT and cloud-native architectures, as well as how hybrid IT and emerging agentic AI affects business strategy and operations. His research focuses on agentic process automation platforms, along with ongoing coverage of digital automation suites, robotic process automation, process discovery and mining technologies, and hybrid integration platforms (including integration PaaS and API management). Previously, Carl served as senior vice president of strategy and product management at a B2B integration firm (now part of OpenText) and spent a decade as a vice president of research at Gartner and META Group, advising Fortune 500 organizations. He is the author of Strategy and Business Process Management: Techniques for Improving Execution, Adaptability, and Consistency, published by Taylor & Francis. Carl began his career as a project manager at AT&T and a product manager at Digital Equipment Corporation (now Hewlett Packard Enterprise). He is a graduate of Boston University’s School of Management.
Autonomous AI agents are rapidly moving from experimentation to enterprise deployment, requiring organizations to treat agentic AI not as a point solution but as an architectural discipline. This report provides a seven-layer reference architecture, a four-phase building-block implementation road map, and a comprehensive governance and security framework to help business and technology leaders build an agentic enterprise that is scalable, auditable and secure.
The company's 10X divides its Studio into separate business application and AI agent design environments and replaces per-user licensing with an unlimited platform model. Creatio is pursuing enterprises fatigued by seat-based pricing and fragmented AI tooling — and positioning itself as an open, model-agnostic alternative to Salesforce and Microsoft.
Agentic AI is advancing from assisted user experiences toward autonomous systems that can plan, reason, act and adapt across multi-step enterprise workflows. This is comparable to the move to cloud: The technology can create material productivity and process benefits, but only when supported by deliberate architecture, governance and operational controls.
Every enterprise deploying autonomous AI agents will likely learn that event-driven infrastructure is not optional; it is what lets an agent react intelligently instead of sitting idle. Enterprises and vendors need to hear this before agent budgets fund the wrong architecture.
The vendor has expanded its Content Innovation Cloud with an Enterprise Context Engine and Enterprise Agent Mesh, positioning its 35-year enterprise content management heritage as the governed data foundation that organizations need to run agentic workflows at scale in sectors such as healthcare, banking, insurance and government.
Modern process discovery reconstructs execution from enterprise data, exposing inefficiencies and automation opportunities while becoming an intelligent execution platform. How has the technology evolved, and who are the leading players in the market as organizations seek to optimize operations and enable AI-driven business transformation?
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