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Enterprise AI Architecture Glossary

What is AI Planning?

Definition

AI Planning is the systemic optimization process by which an artificial intelligence model breaks down a complex, high-level user prompt into a structured, optimized sequence of distinct sub-tasks, database lookups, and external tool execution steps.

How Memora Leverages AI Planning

Memora's sophisticated planning layer acts before a single data index is queried, mapping out clear execution steps for complex tasks. If an executive asks Memora to draft a comprehensive audit report for a specific client incident, the planning model breaks the request down into actionable blocks. It plans to first extract the exact incident timeline from system error trackers, locate related engineering debug discussions across internal slack data, pull client service agreements from secure document stores, and check compliance definitions. The planner runs these steps in sequence, evaluates intermediate data quality, and adjusts its retrieval strategy if it encounters missing context, ensuring the final output is thorough and contextually sound.

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Agentic AI represents an advanced operational paradigm where artificial intelligence models operate as semi-autonomous or fully autonomous software agents. These systems feature intrinsic planning capabilities, dynamic goal optimization, loop self-correction, and structural tool orchestration, allowing them to independently manage multi-step, complex corporate workflows over long horizons without requiring continuous human oversight or iterative instructions.

Agentic RAG is an intelligent retrieval setup where autonomous AI agents manage the search query step, evaluate retrieved text relevance, iterate on missing search terms, and self-correct data inputs dynamically.

An AI Agent is an autonomous operational software entity driven by large cognitive reasoning models that can perceive its corporate environment, maintain memory states, make logical decisions, design step-by-step action paths, and invoke external APIs or software tools to execute specific business goals with minimal human intervention.

AI Alignment is the technical discipline of configuring, tuning, and structuring machine learning models to ensure their generated answers, reasoning processes, and behavioral outputs closely match intended human values, safety definitions, and strict corporate execution rules.

An AI Assistant is a context-aware conversational software interface designed to help enterprise workforces discover information, summarize data, configure administrative tasks, and manage day-to-day software operations using standard, natural human language.

AI Automation refers to the end-to-end replacement or optimization of highly repetitive, human-intensive administrative tasks, document management routines, and knowledge cataloging workflows through the deployment of autonomous cognitive algorithms and model tools.