Here's an uncomfortable number for anyone in sales: 61% of B2B buyers would rather buy without a sales rep. (Gartner, 2025)
Why? Because too many reps repeat what the buyer already read online. Gartner's advice is simple: give buyers guidance they can't get anywhere else.
In software right now, that guidance is about AI. Your buyers are reading about it every day. If you can explain it more clearly than the articles they read, you become the person they want on the call.
So here's your cheat sheet. One line per word. No PhD required.
This article is part of AI for Sellers, our series for people who sell software and services.
The basics
| Word | What it means, in one line | Say it to a buyer like this |
|---|---|---|
| AI model (or LLM) | The "brain" behind tools like ChatGPT and Claude, trained on huge amounts of text and code. | "It's the engine. What matters is what you build around it." |
| Generative AI | AI that creates new things: text, code, images, documents. | "It doesn't just analyze. It produces work." |
| Prompt | The instruction you give the AI. | "Better instructions, better results. Just like with people." |
| Hallucination | When AI says something wrong with total confidence. | "That's why every important output gets checked by a person." |
| Tokens | The small chunks of text AI reads and writes. Most AI is priced per token. | "You pay for what you use, not per seat." |
How AI builds software
| Word | What it means, in one line | Say it to a buyer like this |
|---|---|---|
| Copilot (AI code assistant) | AI that suggests code to a developer as they type. | "It makes each developer faster, but a developer is still driving." |
| AI agent | AI that doesn't just suggest, but takes steps on its own to finish a task. | "It's less like autocomplete and more like a junior team member." |
| Multi-agent (or agentic) workflow | Several AI agents, each with a job, handing work to each other, like analyst, architect, builder and tester. | "It's a whole delivery team, run by AI, supervised by people." |
| Vibe coding | Building an app by describing it to AI and accepting what comes out, without much review. | "Great for a demo. Risky for anything your business runs on." |
| Production-ready | Software that's secure, tested, documented and safe to run the real business on. | "A demo works on a laptop. Production works on a bad Monday." |
Keeping it safe
| Word | What it means, in one line | Say it to a buyer like this |
|---|---|---|
| Guardrails | Rules and checks that stop AI from doing something harmful or wrong. | "Speed is only useful if it can't drive off a cliff." |
| Human in the loop | A person reviews and approves the AI's work at key points. | "AI does the work. Your people make the decisions." |
| Approval gate | A step where work can't move forward until someone signs off. | "Nothing reaches production without a yes from your team." |
| Audit trail | A record of who did what, and when. | "When your auditor asks 'who changed this?', you have the answer." |
| Training on your data | Whether the AI provider uses your information to improve its models. | "Business plans from major providers don't train on your data by default. Always check the plan." |
On that last one: OpenAI, for example, says business data from its business products and API isn't used for training by default. (OpenAI) "Not trained on" isn't the same as "never stored," so always ask about retention, too.
Enterprise and money words
| Word | What it means, in one line | Say it to a buyer like this |
|---|---|---|
| RAG (retrieval) | Giving the AI your own documents to look things up before it answers. | "It answers from your data, not just the internet." |
| Shadow IT (or shadow AI) | Teams building or buying tools without IT knowing. | "It's already happening. The question is whether it's governed." |
| Build vs buy | Making your own software versus renting someone else's. | "AI changed the math. Building is now an option for many modules." |
| Per-seat pricing | Paying for each user, every month. | "If AI does more of the work, why pay per head?" |
| Clean core | Keeping your ERP standard and building custom things beside it, not inside it. | "Keep SAP for the books. Build what makes you different next to it." |
Say this, not that
The fastest way to lose an AI-savvy buyer is to sound like a brochure.
| Say this | Not this |
|---|---|
| "AI does the heavy lifting. Your team approves every step." | "AI does everything automatically." |
| "Weeks for one module, with sign-off at each stage." | "We can build anything overnight." |
| "You own all the code and documentation." | "It's a black box, but it works." |
| "Here's how we stop mistakes before production." | "AI doesn't make mistakes." |
How this connects to what you sell
Notice something? Almost every word above lands on the same idea: AI is fast, but enterprises need control. Agents, guardrails, approval gates, audit trails and clean core are all about getting the speed without the risk.
That's exactly how Defender works. AI agents act as the delivery team, writing the requirements, designing the architecture, building, testing and deploying. Your client's people approve every gate. Every step leaves documentation and an audit trail, and the client owns all the code.
So when a buyer asks "how would you actually deliver this?", you have a real answer, not a buzzword.
Next in the series: the 10 AI questions your buyers are asking, and how to answer them.
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