I invited Shay Levi on because I wanted to separate the AI that writes emails from the AI that moves a business. He is the co-founder and CEO of Unframe, and his pitch is simple. Tell us the pain. We come back in five days with a production-ready solution. If it moves a real metric, you subscribe. If not, you walk.

He calls ChatGPT the gold standard for generic tasks. Drafting notes, tidying a paragraph, that kind of thing. Unframe is about the gnarly stuff inside big companies. Think underwriting, lease management, complex workflows that touch five or six systems and a mess of data. You do not want a prompt window for that. You want something that plugs into your stack and quietly does the work.

Here is how they do it: They have built a shelf of reusable components, the Lego bricks you always end up writing from scratch. They assemble those into a tailored app for a single business need. No long scoping phase. No hostage-style SOW. Data can stay inside the customer’s perimeter. Then the team hands the keys to the business users and measures impact. Pay only if it works.

That model feels like a Fiverr analogy for the Fortune 500. Wish for an application, try it, then decide. The difference is risk. You are not paying up front for a maybe. You are testing a live tool on your data.

Shai has done this before. His last company, Noname Security, grew from zero to 250 people in four years and sold to Akamai. He left before the papers were signed because he could not shake the feeling that enterprises were about to drown in point solutions and half-baked build attempts. In his words, the ground in AI moves every morning. Someone had to give value, not just sell more consultants.

He is honest about the limits. We still need engineers. Code generation got better, but it did not make software teams obsolete. He also thinks the research gap is wider than people expected. More GPUs alone are not going to deliver a sudden leap. Until we get a new idea, the near term is a man-machine partnership. Humans to define the goal and guardrails. Machines to push the work.

One tension I asked about was the in-house IT team. Nobody wants to walk into a department with twenty years of relationships and say your tools will be here in five days. Shai’s answer is practical. Internal teams build the top five, core use cases. Everything else goes to a long wish list. That is where Unframe lives, and it is where most DIY projects stall. If Unframe can ship a working tool in a week, the business moves faster. Nobody gets ripped out. The company gets a head start.

There is ambition behind all of this. He does not want to sell the company. He wants to see if this model can scale across industries. If it does, he thinks it is bigger than his last win. If it does not, he will know because customers will cancel. The contract structure forces the truth.

What I like here is the focus on time to value. Five days is a claim you can test. You either reduce days outstanding in receivables, or you do not. You either shorten lease onboarding, or you do not. In a space full of big talk, that concreteness is refreshing.

If you run a team with a backlog full of good intentions, this is worth a look. Start with one stubborn workflow. Define the metric. See what a week buys you. Worst case, you learn how to scope the next attempt. Best case, you cross something off the list and move to the next one.

We will keep watching this model. If Unframe proves you can repeatedly turn messy enterprise needs into working tools in days, that is a real shift. Not a demo. Not a deck. Software that shows up and does the job.