> ## Content Index > Fetch the complete content index at: https://intelligence.artificialrealitymedia.com/llms.txt > Use this file to discover other available public pages before exploring further. # Ten requirements a legacy operator has before they will buy AI - URL: https://intelligence.artificialrealitymedia.com/ten-requirements-legacy-operators-buy-on/ - Published: 2026-09-02T12:05:00.000Z - Updated: 2026-09-02T12:05:00.000Z - Description: Eight requirements from Annija Eizenarma, two from Artificial Reality: narrow scope, plain language, minimal onboarding, and one delivered result. - Author: Galina Fendikevich - Tags: Construction, #For AI Companies, #Product requests, #Import 2026-09-03 13:11 Solve one narrow problem completely, in the buyer's own vocabulary, on the systems they already run, and prove it on a real result before proposing anything else. That is the shape of what legacy industry operators require, according to Annija Eizenarma, a founder, investor and adviser who has spent seven years building technology businesses in legacy industries. Eight of the ten requirements below are hers; two are Artificial Reality's extension. What they do not want is a platform, a vision, a feature list, or the word AI. ## What do legacy operators actually require? Consolidated from one interview on Artificial Reality, the AI buyer-evidence podcast hosted by Galina Fendikevich. Items nine and ten are inference: - **One narrow problem solved completely** before anything else is proposed. "Proving that you can deliver one thing really well is really, really crucial." - **A clear answer on whether you layer or replace.** Both patterns work; ambiguity about which one is being sold does not. - **Minimal onboarding.** "Making the commitment very simple and easy for them so it doesn't require some setup, some crazy onboarding — just showing that it works." - **Plain language.** "As little tech words as possible, more focusing on the solution itself and the end outcome." - **A before-and-after they can see** — current per-system cost and functionality against what changes. - **Coexistence with existing contracts.** Multi-year licences and sunk integration costs are the operating reality, not an objection to overcome. - **Their own data organized**, which is the precondition to all of the above. - **A vendor who understands their world before pitching.** "It's very important to find and learn their vocabulary, how they think, how they speak, what matters to them." - **Nothing new for the field to do** (Artificial Reality inference). Adoption that requires the crew to log something extra will not survive contact with the job site. - **A visible result inside the first 30 days** (Artificial Reality inference). Her sequential-trust model requires proof to arrive before attention runs out. ## What does understanding their world mean in practice? It means a diagnostic question, asked first. Eizenarma operationalizes a phrase enterprise sales uses constantly and rarely defines: > "I always ask this question first, to understand who I'm talking with. What's their understanding in general about technology — because what they're using right now is explaining me a lot about how they are, how their company's culture is like, how tech advanced are their people in the team. So with that question it makes it clear: do they use Salesforce for some CRM? Do they have some QuickBooks integration? Do they have sticky notes?" The current stack is a proxy for organizational readiness. What an operator runs tells you what they can absorb. ## What actually motivates this buyer? Rarely efficiency, which is the pitch most AI companies bring. Eizenarma names three other motivations, and the first is professional standing: > "How do people choose architects? They look at their awards, they look at their previous projects, they look at their expertise, for example. And if you can increase the expertise of an architect by, for example, adding more skills to his existing skill set, that's a big win for both sides." Added capability, not reduced cost. A product that lets a firm credibly win work it could not previously take on is selling into growth. A product that saves four hours a week is selling into a cost line, and cost lines are defended, not championed. The second is succession. Asked what she wishes AI founders understood, Eizenarma pointed at the handover: "There are so many business owners that are willing to work with younger generation to bring them in to build a better infrastructure for their employees, for their future kids that will take over, that will join the company." The third is not being left behind: her framing places AI as the third technology this operator has adopted, after computers and search. ## How do you earn the right to sell? In a fixed order. Eizenarma describes it as: learn how they speak and what motivates them; bring "multiple proof points that you understand the pain, you have done the research, you have done the work, you have had the conversations," plus what was built and the results; then deliver one promised thing — "saying that you will do something for them and actually doing it." Then the network does the compounding. "The industry players really listen to each other, and if you find somebody that can truly recommend your product from their industry and vouch for you, that is the absolute golden card in the industry." In her account one design partner opens fifteen doors, and those fifteen open a hundred. The first partner is therefore a growth-intent choice, not a deal-size one. Many legacy businesses are content — "I'm exactly where I want to be, never call me again, I don't want to grow" — and her assessment is that product quality will not move them. ## Does the product have to solve the whole problem? No, and assuming it does is a common error. Eizenarma describes the successful outcome as closing part of the gap: "It's not necessarily always closing all of the gap — sometimes it's just getting them a little higher up and preparing them for the next solution or the next infrastructure that they can later incorporate." That is a permission structure most vendors do not realize they have, and it makes narrow scope correct rather than merely tolerable. So before your next pitch into a legacy industry, cut the deck to one problem, one before-and-after, and one delivered result — and pick the design partner who wants to grow rather than the one with the largest budget. ## Where this comes from S1E1: They do $20M a year on sticky notes — the full interview with Annija Eizenarma. Listen or watch: [YouTube](https://www.youtube.com/watch?v=E1HyD6N5W8M&ref=intelligence.artificialrealitymedia.com), [Spotify](https://open.spotify.com/episode/5ozzTSvPsvdI30CLAQ6eOt?ref=intelligence.artificialrealitymedia.com) or [Apple Podcasts](https://podcasts.apple.com/us/podcast/they-do-%2420m-a-year-on-sticky-notes-why-your-ai/id6780699025?i=1000772886756&ref=intelligence.artificialrealitymedia.com).