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Agentic application concepts
The terms buyers meet when they evaluate agent technology, defined plainly: what an agentic application is, where frameworks, runtimes and platforms stop, and how governance, context and durable execution work in practice.
Concept
What is an agentic application?
An agentic application is a business application where people and agents share the same pages, data, knowledge, and outputs under one identity and one record.
Reviewed October 12, 2026
Concept
Agent framework vs runtime vs application platform
Agent frameworks build the agent, runtimes host it, and application platforms add users, permissions, approvals, and context. What each layer gives you.
Reviewed October 12, 2026
Concept
Build vs buy for agentic applications
What a custom-built agentic application needs beyond the agent, how to estimate build, maintenance, and per-application cost, and when building or buying wins.
Reviewed October 12, 2026
Concept
Agentic applications vs workflow automation
When a workflow canvas such as n8n, Zapier, or Power Automate is enough, when a process needs an agentic application, and how RPA and agentic automation differ.
Reviewed October 12, 2026
Concept
Agent control planes vs agentic application platforms
An agent control plane inventories and governs agents built anywhere. An application platform runs one governed application. What each does and how they fit.
Reviewed October 12, 2026
Concept
AI agent governance: approvals, identity and audit
AI agent governance is a set of mechanisms in the path of every call: agent identity, authorization, approvals, audit before execution, versioning, and evals.
Reviewed October 12, 2026
Concept
RAG vs a context engine
RAG retrieves passages for a prompt. A context engine curates typed, evidence-backed knowledge and records what each run used. Where each fits in enterprise AI.
Reviewed October 12, 2026
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