1、Agentic AI at ScaleA Decision-Makers Guide to Sustainable IJames Lennon is a technology trailblazer transforming software development and user experiences through AI.As VP of Experience Engineering at Ciklum,he drives the adoption of AI systems to accelerate delivery and exceed customer expectations

2、.With over 15 years driving digital innovation,James combines deep hands-on experience with a vision for how AI can overhaul software design,development,and testing workflows.James leads a global engineering and R&D team shaping the future of how technology defines the way we live and work.James Len

3、non,VP Experience EngineeringIndexIntroduction:Why Agentic AI Is Now a Business ImperativeSECTION 01040607What Stands in the Way of Successful Agentic AI Scaling?SECTION 02A Strategic Framework for Scaling Agentic AISECTION 03121416The Ciklum Way:Our Implementation StrategyPutting Our Approachinto P

4、racticeConclusion:Taking Action for Competitive AdvantageSECTION 04SECTION 05SECTION 064SECTION 01IntroductionWhy Agentic AI Is Now a Business ImperativeModern agentic AI has massively expanded the capabilities of artificial intelligence across organizations and enterprises.These AI systems provide

5、a level of autonomy far beyond that of basic AI applications,which rely on simple API connections.Agentic AI can make its own decisions,execute tasks,solve complex problems,and interact with other systems and applications.On a practical level,organizations that have already implemented agentic AI ha

6、ve found that it can:Complete tasks based around unstructured data such as deep-level researchSolve complex problems through interactions with multiple systems and data sources with minimal human guidanceRemove human bottlenecks and turn workflows that take days into automated sequences that take mi