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Agentic AI
Agentic AI is an evolution of artificial intelligence applied to business processes. It consists of AI agents that can understand objectives, interpret information, plan activities, and coordinate actions among data, people, and applications. This section contains guides and in-depth articles about how Agentic AI works, its architectures, and its primary B2B applications.
Topics include AI agents, multi-agent systems, agentic RAG, language models, workflow orchestration, and integration with cloud platforms, ERP systems, and enterprise software. The articles also delve into the roles of an agent’s various components, how agents collaborate, and the use of agentic AI in document management, accounting, logistics, and business process automation.
This content is intended for CEOs, CTOs, and other decision makers who want to learn how to adopt intelligent, autonomous, and scalable technologies. Agentic AI enables the creation of more connected operational ecosystems, leverages corporate data, and develops processes that adapt to a company’s objectives and context.
Agentic AI architecture: the multi‑agent ecosystem for modern enterprises
Anatomy of an AI Agent
Machine Learning in AP management: streamlining matching, verification and cost coding
OCR and ML applied to Accounts Payable and financial documents
Generative AI applications and benefits for accounting: BloombergGPT shows a way
How Generative AI could transform the world of finance
The potential of generative AI for the business world
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