Your career taught you something companies would pay for. The Kitchen Table helps you turn it into a niche B2B business where your expertise and AI work together, test it honestly, and land your first paying customer. Start in one sitting.
AI adoption is the biggest shift in how businesses work in a generation, and most companies can't make it on their own. They don't want another tool. They want someone who understands their problem to deliver the result, with AI doing the heavy lifting. That's the business we help you build: human expertise, delivered as a service, powered by software.
The judgment and context only years inside a problem can give you.
Do the repetitive work, so one expert can serve many clients instead of a few.
Clients buy outcomes, not hours or seats.
None of the founders in our stories started as AI experts. They started with a problem they understood better than almost anyone. AI was the tool. The problem was the company.
The tools get cheaper and easier every month.
Knowing who has the problem, what it costs, and why it's unsolved takes years.
We show you where AI fits in your problem, and where it doesn't.
They ask what your idea is. The better question is what you know, up close, that AI now lets you turn into a business.
We start with your expertise, and the problems you've watched go unsolved at work.
We do one thing: niche, AI-native B2B businesses.
We end at your first paying customer.
Top-quartile AI-native companies selling to small and mid-market businesses grew 303% year over year, against 82% for AI-enabled SaaS.
State of AI Report 2026, Standard Metrics data, companies with $1M+ annualized revenue.
Set aside an afternoon to build version one. Then launch, learn, and come back with your results for the next round.
Your career, the systems and workflows you know cold, and how you like to work.
What can become tools and agents, what stays your judgment, and which niche will pay for it.
Your AI board reacts: buyer personas from real B2B job titles, plus an investor and an operator. You get a straight verdict.
Your launch kit is version one. Launch, share results, get your next step, and go again until your first customer says yes.
Ten questions, three minutes. Tell us what you did for a living and share your LinkedIn or resume. You get a straight read on whether your background points to an AI-native services business, and what would have to change if it does not.
Go · Reshape · Not yet
No card. We keep your answers to follow up, nothing else.
Most tools reward you for finishing a plan. We'd rather save you a year. Examples of verdicts:
Nine years running SAP, vendors losing deals over it, buyers with budget. Start as a service; build the agents later.
Too broad. Your years selling cloud services point to a sharper niche: proposals for startups selling software plus forward-deployed work.
No niche, no unfair advantage. Pick one system or workflow you know better than most and come back to the table.
No first plan survives contact with real buyers. The Kitchen Table gets better every time you go around the loop.
Founders who found their company in what they already knew.
11 stories. Scroll to see more.
The integration nobody else could build
Before: SAP manager at a large enterprise.
They kept watching SaaS vendors lose deals with SAP-run companies for lack of an integration. They started by helping those vendors ingest SAP data as a service, and are now building AI agents that work with SAP data securely.
Crossing $1M in revenue this year
The implementer who saw the gap
Before: Led a merchandising system rollout at one of the region's largest footwear retailers, then a decade in IT and commercial leadership.
He watched retailers get visibility from their systems while daily calls on restocks, size runs, and markdowns still fell on people who couldn't watch every SKU. So he built an AI planner that runs those decisions, with planners approving each move from their phone.
Now building in the US
The operator who saw the playbook
Before: COO who helped scale a consumer health brand from $15M to $50M with an in-house AI operations engine.
She saw the same engine could run community management. Our advice: don't force it into software. Build a services company where AI lets each manager run more communities.
Running pilots with Bay Area HOA firms
From first dollar to a full salary
Before: A data consultant going out on his own.
He kept waiting for the perfect niche. Our advice: ship a version-one positioning now and iterate. His advantage was already there: US clients served by a near round-the-clock team.
Revenue grew from about $30K to $190K in a year
The doctorpreneur niche
Before: [Founder's background]
He found an unexpected buyer: doctors funding their own health-tech ideas. The offer became one fixed-price product: a HIPAA-ready prototype in eight weeks.
Two $100K deals and a $300K retainer in one quarter
The CIO who stopped hedging
Before: CIO at several billion-dollar companies, including a health system that grew from $300M to $3B.
His new advisory firm offered everything, though 90% of clients were already in healthcare. Our advice: stop hedging, go healthcare-only, and niche further inside it.
[Now: status]
The seller who automated himself
Before: Enterprise seller at a cloud consultancy, building with AI on the side.
He codified his own selling know-how into tooling, then built a service helping startup sales teams with proposals that combine software and forward-deployed work.
[Early traction]
The niche the big firms ignore
Before: Technology leader at a global bank, after years at large IT services firms.
He planned a platform that did everything. Our advice: define the business by what it won't do, and help companies leave outsourced MSPs for an in-house, AI-driven model.
[Now: status]
The trainer with 5,000 students
Before: Runs a product management training firm with more than 5,000 alumni.
His alumni had already told him which workflows were broken. Our advice: sell a premium service that automates one of them, starting with a paid discovery phase.
[Now: status]
First, not best
Before: [Founder's background]
He launched aimed at every mid-size Salesforce user. Our advice: being best is unprovable, being first isn't. Become the only Salesforce consultancy built for startups.
[Now: status]
Selling the worry list
Before: AI expert starting a consulting practice with a generic deck.
Our advice: frame AI as a worry list of risks clients don't know they have, sell strategy to curious companies, and package it as one- to three-day executive workshops.
[Now: status]
Starting is the easy part. Keeping going after the third ignored email is where most people stop.
Week 1
A website review before you send anyone to it.
Weeks 2 to 4
Weekly accountability check-ins and early data reviews as replies come in.
First conversations
Find out where buyers leaned in and where you lost them.
First dollar
One goal: a first paying customer, a pilot, or a signed letter of intent.
Graduation
With customers in hand, you graduate to the next step in the Vixul family.
Everything is yours to keep, and your plan stays readable by the AI tools you already use.
Legal templates are a starting point, not legal advice. Have a lawyer review anything before you sign it.
No AI experience needed, and no card. These ship with the first cohort; people on the list get them first.
A short conversation about your career. Leave with two or three opportunities, or an honest "not yet."
I ran procurement for a hospital network for 11 years.
Good start. What did your team rebuild by hand every month?
Spotting problems worth solving is a skill, and it can be trained.
What it really means to find places to deploy AI in a business, and how people get paid for it.
We are opening a first cohort of twenty founders, run by hand, one at a time. Join the list and you get first offer of a seat, the free material as it ships, and a straight answer when we open. No card, no pitch deck.
If that is not you yet, take the readiness check first. It is free and it will tell you the truth.
Do-it-yourself by default, so you pay for guidance, not hours. Start with the launch kit and keep iterating until you land your first customer.
Nothing is on sale yet The plan below is what we are building. People on the waitlist are offered the founding rate first.
One sitting, one honest verdict, version one of everything.
$250 once
Iterate your way to your first dollar.
$79 / month
A weekly room with nine other founders.
$750 / month
Book a 90-minute session with an expert coach. We work through your background and idea together, and our team prepares your launch kit.
$1,000 per session
Join the waitlistOffer The Kitchen Table as part of severance or outplacement. Some of your best people have been sitting on a company idea for years.
Where expertise becomes an AI-native startup.
Built by Vixul on years of advising AI-native services firms. Board members are AI personas; real coaches run every masterclass.
Join the waitlist