Workshop: Building the Self-Operating Enterprise with Data Standardization and Actionable AI
AIQuinta joined New Ocean IS and Tungsten Automation in a workshop exploring document automation, AI Agents, and real AI adoption for enterprises.
Duc Nguyen (Dwight) is a marketing executive at AIQuinta with a strong focus on B2B technology, enterprise AI and innovation-led growth.
Organizational Memory: How AI Will Transform Enterprise Knowledge
Explore the economic realities of using Large Language Models for organizational memory. We analyze the risks, financial returns and strategies.
Building AI Memory: The Next Competitive Advantage
Explore why proprietary AI memory structures offer the next competitive advantage, moving beyond stateless LLMs into long-term agentic AI workflows.
How a Web Search AI Agent Works: Workflow Explained
Learn how a Web search AI agent plans queries, retrieves sources, validates evidence, and turns live web data into reliable agent outputs.
Tool Calling Guardrails: Permissions, Limits, Logs
Tool calling guardrails help AI agents act safely with permissions, allowlists, rate limits, logs and audit controls for enterprise agent architecture.
The Rise of AI-Native Companies: Economic & Strategy Guide
Discover the economic architecture of AI-native companies. Explore how transitioning to agentic AI and outcome-based pricing is reshaping business.
What is an AI-Native Company? The New Business Model
An AI-native company is a company built around AI from day one, using it to support products, operations, data, customer experience and decisions.
How Agents Choose Tools? Ranking, Routing and Fallbacks
Discover the tool selection strategy of AI agents. How to optimize tool calling using advanced routing, ranking and multi-model fallback architectures.
LLM Tool Schema Design: Inputs, Outputs & Error Handling
Design tool schemas for LLM tool calling with clear inputs, outputs, validation, error handling and governance patterns for production AI agents.
Tool Calling for AI Agents: End-to-End Execution Flow
Learn how tool calling works for LLM agents, from tool selection and schema validation to execution, governance and enterprise deployment.
