AI Agent
Definition
An autonomous software system that uses artificial intelligence to perceive its environment, make decisions, and take actions to achieve specified goals with minimal human intervention. AI agents are increasingly deployed in customer service, workflow automation, and decision support, and represent a growing category of operational intangible asset.
Complementary Terms
Concepts that frequently appear alongside AI Agent in practice.
A field of artificial intelligence that enables machines to interpret and extract information from visual inputs such as images, video, and documents. Computer vision is applied in quality inspection, medical imaging, autonomous vehicles, and document processing.
A category of artificial intelligence systems capable of creating new content — including text, images, code, music, and video — based on patterns learned from training data. Generative AI is transforming content production, product design, and software development, raising novel questions about intellectual property ownership and the valuation of AI-generated outputs.
A non-physical asset that derives value from intellectual or legal rights, or from the competitive advantage it provides. Examples include brands, patents, software, customer relationships, data, organisational know-how, and human capital.
The value embedded in a company's proprietary software assets, including applications, platforms, tools, and codebases. Software capital is a major intangible asset category that drives automation, scalability, and competitive differentiation in technology-enabled businesses.
A tradable certificate representing the right to emit one tonne of carbon dioxide equivalent, or a verified reduction or removal of one tonne of CO2 equivalent from the atmosphere. Carbon credits are traded on compliance markets (such as the EU Emissions Trading System) and voluntary markets, and represent an emerging class of intangible asset with growing valuation complexity as climate regulation intensifies.
A virtual representation of a physical asset, process, or system that is continuously updated with real-time data. Digital twins are increasingly recognised as valuable intangible assets that enhance operational productivity, enable predictive maintenance, and accelerate product development.
The financial, operational, or psychological costs a customer incurs when changing from one product or service to another. High switching costs create customer lock-in and are a powerful intangible competitive moat, particularly in enterprise software, banking, and platform businesses.
A technology that uses software robots to automate repetitive, rule-based tasks traditionally performed by humans, such as data entry, invoice processing, and compliance reporting. RPA implementations are typically capitalised as intangible assets and can deliver rapid return on investment through labour cost reduction and error elimination.
Put this knowledge to work
Use Opagio's free tools to measure and grow the intangible assets that drive your business value.