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10 implementation terms

Glossary

Plain-language definitions for the AI, automation, attribution, and revenue-operations terms that matter when a buyer is deciding what to build.

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Operating Lens

Definitions are only useful when they improve decisions

The glossary is written for implementation conversations, not academic vocabulary. Each term should make the next plan question easier to ask.

Concept

What it means

Start with the practical definition before anyone buys tooling, writes a prompt, or plans an automation.

  • Plain-language meaning
  • Common implementation context
  • Buyer-safe vocabulary

System

Where it fits

Map the term to the buyer path, CRM, workflow, dashboard, or team motion it would actually affect.

  • Funnel stage
  • Data handoff
  • Owner and workflow

Decision

What to inspect

Use the term as a prompt for better diagnosis: what is blocked, what evidence exists, and should it become a sprint?

  • workflow gap
  • Baseline proof
  • Build-case review

Term library

Use the words precisely

Every definition should make implementation easier: what the term means, where it shows up in an AI system, and what to inspect before it becomes a build decision.

A

4 terms

Agentic AI

Agentic AI is software that pursues a goal on its own — planning steps, using tools, and adjusting along the way — instead of waiting for a prompt at every turn.

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AI Agent

An AI agent is software that prepares, routes, drafts, summarizes, updates, or reports on work toward a goal with clear tools, context, and human review.

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AI Lead Scoring

AI lead scoring uses machine learning on historical deal data to predict which new leads are likely to convert, replacing the hand-tuned point systems most CRMs ship with.

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AI Marketing Automation

AI marketing automation uses machine learning to run campaigns end to end — picking who to message, what to say, and when to send — instead of relying on fixed rules a marketer writes by hand.

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C

2 terms

Conversational AI

Conversational AI is software that holds a natural-language conversation with a person — over chat, voice, or messaging — and can understand intent, remember context, and respond in kind.

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Customer Journey Orchestration

Customer journey orchestration is real-time coordination of the messages and offers a buyer sees across every channel, so the next interaction always reflects what they have already done.

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G

1 term

Generative Engine Optimization (GEO)

Generative Engine Optimization (GEO) is the practice of structuring web content so AI answer engines can understand, quote, and cite it when it is relevant.

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M

1 term

Marketing Attribution

Marketing attribution is the practice of assigning credit for a conversion to the channels and touchpoints that drove it, so you can tell which marketing spend is actually producing revenue.

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P

1 term

Predictive Lead Scoring

Predictive lead scoring uses statistical models to forecast each lead’s probability of converting, ranking open opportunities by likelihood of revenue rather than activity totals.

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R

1 term

Retrieval-Augmented Generation (RAG)

Retrieval-Augmented Generation (RAG) is a technique that gives a language model access to your private documents at answer time, so it can respond with facts from your data instead of guessing from training.

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Plan-first thinking

Next step

Find the gap first

Start with the repeated work, the source material, and the business result. Then choose strategy, an agent, or a custom AI system.

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