Glossary
Enterprise AI — the terms that matter.
Plain-language definitions for the concepts that come up in every enterprise AI deployment — written by the engineers who build them.
Governance
AI Governance
The policies, controls, and processes that determine how enterprise AI systems behave, who can access them, and how their decisions are recorded and reviewed.
AI Audit Trail
A timestamped, immutable record of every input, retrieval, reasoning step, and output produced by an AI system — enabling compliance review, accountability, and retrospective investigation.
Operations
Human-in-the-Loop
A system design in which humans review or approve AI decisions at defined checkpoints — handling exceptions — rather than the system acting autonomously on every case.
Straight-Through Processing
The end-to-end automated processing of a transaction or workflow without manual intervention — the AI handles the full process, with humans reviewing only defined exceptions.
Architecture
Enterprise AI Operating System
A shared platform layer that deploys, governs, and continuously improves AI across multiple business workflows — replacing isolated point solutions with unified infrastructure.
Retrieval-Augmented Generation
An AI architecture in which the model retrieves relevant information from a defined knowledge base before generating a response — grounding output in authoritative sources rather than training data alone.
AI Agent
A software system that uses a large language model to understand instructions, reason about a goal, and take actions — retrieving information, calling tools, or executing workflow steps — with or without defined human checkpoints.
Deployment
Pilot Purgatory
The state where an AI initiative has proven its value in a demo but cannot reach production — trapped in an endless cycle of reviews, deferred decisions, and extended pilots.
Bring Your Own Cloud (BYOC)
A deployment model in which the vendor's software runs inside the customer's own cloud environment or on-premises infrastructure — keeping all data within the customer's control boundary.
Forward Deployed Engineer
An engineer embedded with a customer during and after a technology deployment — owning the technical outcome, not just the software delivery — rather than handing off to the customer's internal team.
See it in production
These concepts working together in a live enterprise deployment.