Enterprise AI Terms Explained

Ciaran Rooney

Technology and Cybersecurity Leader

Discover how organisations are turning AI into a true digital colleague using AI agents, RAG, MCP and governance to connect AI with trusted information, business systems and real-world workflows.

Working with AI

Discover how organisations are turning AI into a true digital colleague using AI agents, RAG, MCP and governance to connect AI with trusted information, business systems and real-world workflows.

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Enterprise AI Terms Explained

5 mins 20 secs

Key learning objectives:

Explain how retrieval-augmented generation improves AI accuracy
Describe how MCP enables AI to interact with business systems
Differentiate between AI assistants and AI agents
Explain the importance of AI governance within organisations

Overview:

Enterprise AI delivers the greatest value when it combines reasoning with trusted information and secure access to business systems. Retrieval-Augmented Generation (RAG) improves accuracy by grounding AI responses in verified organisational knowledge, while the Model Context Protocol (MCP) enables AI to securely access applications, data and tools.

AI agents extend these capabilities further by planning tasks, using external systems and taking actions with minimal human intervention. As these technologies become more powerful, AI governance provides the policies, oversight and accountability needed to ensure AI is deployed responsibly and safely across the organisation.

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Summary

What is Retrieval-Augmented Generation (RAG)?

RAG improves AI responses by retrieving relevant information from trusted sources before generating an answer, reducing reliance on the model's original training data alone.

What is the Model Context Protocol (MCP)?

MCP is a standard that allows AI to securely connect with external applications, databases and business tools, enabling it to retrieve information or perform actions.

What is an AI agent?

An AI agent goes beyond answering questions by planning tasks, using tools, accessing information and completing multi-step workflows with minimal human intervention.

How are AI agents different from chatbots?

Chatbots primarily provide responses to user prompts. AI agents can independently coordinate multiple actions across different systems to complete business processes.

Why is AI governance important?

AI governance establishes the policies, controls and oversight needed to ensure AI is used securely, responsibly and in line with organisational requirements.

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Ciaran Rooney

Ciarán is the Chief Technology Officer at xUnlocked. He has over 20 years of experience in technology, cyber security and operations. Ciarán has held the role of CTO of several successful startups including; busuu, Skimlinks, and Swoon. He has also been a technical consultant, a startup mentor, a conference speaker, and the Chair of the PHP UK Conference.

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