What Exactly Is an “AI System,” an “AI Solution,” or an “AI Agent”? Debevoise’s Updated Practical Definitions for Common AI Terms

2026-07-01 · Source: Debevoise Data Blog · Field: Legal & Regulatory — Compliance & Risk Management, Regulatory Affairs & Government Relations, Artificial Intelligence & Machine Learning · Depth: Intermediate, medium

Summary

Debevoise's updated practical definitions for common AI terms, including "AI Agent," "Agentic AI," and "Harness," build on a previous post to address the ambiguity of broad regulatory definitions from sources like the EU AI Act and Colorado AI Act. The firm's framework provides 15 precise definitions for effective AI governance, procurement, and risk assessment. Key terms include "Model," "Tool," "Harness," "Training Data," "Operating Data," "Use," "Users," and "Affected Individuals." These combine into "AI System" (Model + Tool + Harness + Training Data), "Use Case" (AI System + Operating Data + Use + Users + Affected Individuals), and "AI Solution" (Use Case + Mitigants). The update also introduces "AI Agent," "Agentic AI," and "Agentic AI Workflow" to account for multi-step, autonomous AI deployments, exemplified by a detailed resume screening scenario using Claude Opus 4.8.

Key takeaway

For legal professionals or Directors of AI/ML assessing AI risks or procuring solutions, adopt these precise definitions to establish a common understanding across teams. Your ability to effectively govern, assess, and deploy AI systems hinges on a shared vocabulary, moving beyond vague regulatory terms. Use the structured framework to break down complex AI deployments into manageable components, ensuring comprehensive risk mitigation and compliance.

Key insights

The article provides a practical, structured vocabulary for AI governance by defining 15 key AI terms and their interrelationships.

Principles

• Regulatory AI definitions are often too broad for practical use.
• A shared vocabulary is crucial for effective AI governance.
• AI deployments can be broken down into core components.

Method

The article defines AI components (Model, Tool, Harness, Data) and their combinations (AI System, Use Case, AI Solution), then extends to agentic AI concepts.

In practice

• Define "AI System" as Model + Tool + Harness + Training Data.
• Define "AI Solution" as Use Case + Mitigants.
• Use the resume screening example to map AI components.

Topics

• AI Governance
• AI Terminology
• AI System Definitions
• Agentic AI
• Risk Assessment
• AI Deployment Framework

Best for: CTO, VP of Engineering/Data, Executive, Legal Professional, Director of AI/ML, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by Debevoise Data Blog.