Enterprise AI glossary
What an agent harness, workstream, write-back gate, and enterprise AI OS actually are — the nouns operators need before they buy.
Explainers
- Explainer
Agent Harness vs Agent Framework
An agent framework is a library for assembling a loop. An agent harness is the loop you can actually run — tools, stops, identity, and sensors included. LangChain helps you build one; it is not, by itself, one you can hire.
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Inner vs Outer Agent Harness
An inner agent harness runs a developer and a repository — CLAUDE.md, hooks, tests. An outer harness runs the company — wiki, connectors, write gates, and a ledger. Most enterprises need both.
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Multiplayer AI vs multi-agent AI: what is the difference?
Multiplayer AI is people and AI on one job. Multi-agent AI is models coordinating. A guide to the distinction, when you need each, and how to talk about it with a vendor.
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What is a Company Wiki for AI Agents
A company wiki for AI agents is the official playbook the AI must follow — versioned, owned, and scoped — not a pile of old Drive files the search might find.
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What is a Lifecycle Graph
A lifecycle graph is how a company answers “why did this happen?” after AI is involved — the chain of cause and effect, not a chat log.
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What is AI Governance
AI governance is the working rules for who may use which AI, on which data, and whether it may change a live business system — plus a record of what happened.
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What is AI Token Economics
AI token economics is treating AI usage like a real budget: you pay per chunk of text the model reads and writes, so finance can quote, cap, and attribute spend instead of hoping for “unlimited AI.”
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What is an Agent Harness
An agent harness is everything around a model that lets it do work: tools, memory, permissions, loops, and stops — Agent = Model + Harness, not a chat window with plugins.
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What is an Agentic Workflow
An agentic workflow is a sequence of steps an AI can run toward a goal, with rules for when to stop — including a person who must approve before a live system changes.
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What is an AI Workstream
An AI workstream is a shared workspace for one job: a brief, the tools allowed, the people and AI on it, a budget, and a finish line — not a Slack channel with a bot.
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What is an Enterprise Agent Harness
An enterprise agent harness is the outer runtime for operators: wiki, scoped connectors, agent teams, write gates, and a ledger — not a SWE-bench score and not a chat with every production login.
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What is an Enterprise AI Operating System
An enterprise AI operating system is the layer between the AI model and how departments actually work — like Windows sits between the chip and your apps.
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What is Causal AI for Operations
Causal AI for operations means you can answer “why did this change happen?” with the actual steps and approval — not a guess that “the chatbot caused a lift.”
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What is Enterprise RAG
Enterprise RAG is looking up authorised company files before the AI answers, with permissions respected — lookup-then-answer, not an operating system.
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What is Harness Engineering
Harness engineering is the 2026 practice of fixing the environment when an agent fails — tools, hooks, tests, and stops — instead of rewriting the prompt and hoping the next model call behaves.
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What is Human-in-the-Loop AI
Human-in-the-loop AI means a person must approve before the AI can finish the job — seeing the exact change, signing with their identity, and leaving a record.
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What is Institutional Memory in Enterprise AI
Institutional memory is what the company still knows after the person who did the work leaves: official playbooks, signed decisions, and live systems — with access control.
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What is Model Context Protocol
Model Context Protocol is a common plug so AI apps can use the same tools, like USB for accessories. It is plumbing, not a company strategy, and it does not decide who may update Salesforce.
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What is Model Routing
Model routing is using a cheaper, faster model for simple steps and a stronger model only when the task needs it — a policy, not a dropdown labelled “best.”
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What is Multi-Agent AI
Multi-agent AI is more than one AI specialist handing work to each other — the way legal already reviews a go-to-market draft — with a shared job, a stop, and a person who must approve before a live system changes.
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What is RBAC for enterprise AI, and why should you care?
RBAC is who is allowed to do what. For enterprise AI it has to cover the model as well as the people — what it can read, what it can change, and who can stop it. A plain-language guide.
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What is Shadow AI
Shadow AI is people using personal ChatGPT or similar for work because the official tool is too slow or missing — which leaks data and leaves no record of what changed.
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What is Write-Back Governance
Write-back governance is the rule that an AI may not change a live business system until a named person has seen the exact change and signed it — and if they have not, nothing happens.
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Architecture
- Architecture
Agent Harness Architecture
Agent harness architecture is the runtime around a model: loop, tools, context, hooks, permissions, and eval — mapped, for company jobs, onto workstreams, agent teams, connectors, and write gates.
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Eval Loops for Enterprise Agent Harnesses
Coding agents can be scored on SWE-bench and Terminal-Bench. An enterprise harness is scored on whether the executed write matched the signed payload — independent sensors, not the model’s own claim that it was done.
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