OwnerManagement
This product has stalled and inventory is piling up. Discontinue or cut the price? I want to decide this week.
Turn one person's hunch into evidence the whole team can use.
People have preconceptions, so teams discuss. With INARY, the AI researches inside the discussion itself, and everyone reads the evidence in the same place.
People have preconceptions. That is why we discuss.
People have preconceptions. Looking at the same thing, each of us sees it differently. The same is true of AI. That is why work is not decided by one person, but discussed by several. This is exactly where business chat earns its value, and disagreement is not a problem. It is the healthy state.
Discussion alone is not enough
But some things survive a discussion. The feeling that "we are already doing this right" lives inside each person. When someone senses that something is off, a feeling alone cannot move a meeting. It needs evidence.
A personal AI cannot solve this
So why not ask an AI? A personal AI assistant cannot solve this problem, because it knows nothing about the discussion. It may remember your own work, but not what is on the table right now, how the sales floor sees it, or what the owner is thinking. Bring its answer into the meeting and the first question is "Where did that come from?", followed by rounds of copy and paste.
What changes with INARY
In INARY, the AI is inside the thread where the discussion is happening. It knows who thinks what and what the problem is, and from there it researches the market, the competition, and what buyers are struggling with, then puts it into words. The result appears in the same thread, and everyone reads it right there. Nobody has to carry it in, and nobody has to explain where it came from.
What actually happened: conversion roughly tripled
At the company's request, the industry, company name, and product are not disclosed.
A product had stopped selling and inventory was piling up. In an INARY thread, the owner, the store manager, and the designer were discussing whether to discontinue it or cut the price. The owner and the manager both believed the product's strengths were already well presented. Only the designer felt that the messaging was off, but it was a feeling, with nothing to back it up.
The designer put that feeling into the thread. The AI researched the market, the competition, and the everyday problems buyers were trying to solve, and put them into words. The designer's hunch now had evidence behind it. The others listened, and the page was rebuilt around the buyer's problem and the product's function. The conversion rate roughly tripled, and a product that had been sitting in stock became one that brought customers in.
Store managerSales
I think we already present its strengths well. A price cut and wait-and-see seems the safe call.
DesignerCreative
I have no evidence, but I feel the messaging is off. Maybe it's how we tell the strengths, not the strengths themselves.
INARYAI
Based on this thread, I researched the market, the competition, and what buyers struggle with. Top competitors lead with the buyer's everyday problem, not the features. The current page is mostly feature description and does not mention that problem.
When AI is worth having as a colleague
This is not a story about AI finding the answer. A person noticed, and people decided. What the AI did was research and put it into words. It could do that because it was not one person's tool, but part of the organization's context. That is when AI joins a company and is worth having as a colleague.