8 ARTICLES TAGGED "AGENTIC WORKFLOWS"
As organizations scale hundreds of LLM agents, new bottlenecks in asynchronous systems are emerging. Tools like OpenHands, Hol-Guard, and DataHub Agent Context are launching to provide runtime protection, antivirus capabilities, and better context management for AI agents.
A shift towards 'agentic' systems where organizations build their own AI agents using open data and cost-effective decision frameworks rather than relying solely on frontier models. This includes redesigning workflows and using cost-asymmetry for autonomous action.
The next phase of AI shifts from chat to action. Upcoming models like GPT-5.6 are focusing on agentic workflows, while new APIs from Crossmint and Visa allow AI agents to autonomously perform financial transactions using tokenized credentials, effectively turning AI into a productive workforce.
Direct Corpus Interaction (DCI) is revolutionizing how AI agents navigate data. By providing terminal-like access to codebases and logs, DCI allows agents to move beyond simple RAG retrieval to solve complex debugging tasks with full context.
The era of complex, manual RAG and indexing layers is ending. New architectural layers like Salesforce's Agentforce Operations are emerging to provide deterministic structure to AI agents, fixing the broken workflows that cause enterprise AI tasks to fail.
AI agents are evolving from simple chatbots into autonomous entities capable of writing code and managing financial transactions. Explore how agentic workflows and sandboxed coding are redefining the digital economy in 2026.
OpenAI's Codex user base has surged to 4 million, supported by new technical implementations like WebSockets to reduce API latency and improve the speed of agentic loops.
The 2026 Enterprise AI Pivot: From Flashy Demos to Practical Governance. Learn how businesses are moving beyond impressive AI demos to implement practical governance and orchestration for true digital transformation.