Your board wants an AI plan.
You need to know what's worth funding first.

City skyline at night with lit office windows
N Scheme tells you which AI investments will hold up in your business before you spend, and shows you the evidence behind each one.
Founding client offer · 3 places left

Workflow Discovery Sprint: one workflow mapped and a working prototype in two weeks.

$3,200 (SAR 12,000) instead of $4,500 (SAR 16,900), for our first 3 clients until 27 April 2027.

If the prototype isn't running on your real data by the end of week two, we keep working at no extra charge until it is.

Sound familiar?

"We've set aside money for AI, but nobody can tell me what to spend it on."
"We've already spent on AI and I can't point to what we got back."
"Every vendor says their tool will transform us. I can't tell who's real."
"We ran a pilot, the demo looked great, then nothing happened."
"My team loses days every month pulling reports together by hand."
If any of these is yours, you're not short of AI ideas. What you're missing is a way to tell which ones will work for you.
Why N Scheme

Too big for a toolkit. Too early for a consultancy.

A mid-size company that wants one AI workflow running safely this quarter has nowhere obvious to go. Free tools hand you the parts and leave the judgement to you. Large consultancies bring the judgement, at a price and pace built for enterprises. N Scheme sits in between: senior judgement on what is worth funding, and governed builds that run in your own systems.

Free AI toolkits

Cheap filters and templates
Your team writes every rule
No one checks whether it fits your business

N Scheme

Fixed-fee audits and builds for one company's real workflows
We set the rules with you, and a person signs off on what goes out
Every recommendation backed by a cited source and reviewed by us

Large consultancies

Multi-month AI programmes
Built for enterprise budgets and timelines
Often more strategy than working systems
You get the rigour of a consultancy, sized for a company that needs one thing working this quarter.

What we do

Free AI Opportunity Snapshot

For seeing what's possible before you talk to anyone. Tell us your company and industry. You get three AI opportunities worth looking at, each with a cited source and the tools to consider, reviewed by us before it reaches you. Free.
Get my snapshot →

AI Opportunity Audit

For when you need to decide where AI money goes. Your team lists its recurring workflows in a simple template, and we work out what each one costs you today. Every AI idea has to change one of those workflows and pass hard rules on oversight, effort, risk and payback. You get one opportunity to fund first, with its business case and a 90-day pilot plan, the full ranked list with cited sources, and a 12-month roadmap. 2 to 3 weeks, fixed fee from $3,500 (SAR 13,125).

Workflow Discovery Sprint

For when your team loses time to manual work. We map where the time goes, pick the one workflow where a fix pays off first, and build a working prototype on your real data. 2 weeks, fixed fee of $4,500 (SAR 16,900). Founding clients pay $3,200 (SAR 12,000): 3 places, until 27 April 2027.

Custom Workflow Build

For a process you already know you want fixed. We build the automation your team will use every day, in your own n8n account, with the safeguards built in: clear rules for what the AI may do, checks on what goes in and comes out, and a person signing off before anything leaves. 3 to 6 weeks, from $6,000 (SAR 22,500).
Why now

Most companies are using AI. Few are getting value from it.

84%
McKinsey, The state of AI in GCC countries, Nov. 2025
Of GCC organisations use AI in at least one business function
11%
McKinsey, same survey
Are scaling it and attribute at least 5% of earnings to AI
53%
McKinsey, same survey
Name inaccurate AI output as a significant barrier to adoption
40%+
Gartner, Jun. 2025
Of agentic AI projects expected to be cancelled by end of 2027, citing costs, unclear value and inadequate risk controls
95%
MIT Project NANDA, The GenAI Divide
Of organisations in its research saw no measurable P&L impact
The gap between using AI and getting value from it is a decision problem and a control problem. That is the work we do.
Credentials
1
WEEK ONE: MAP
We map where your team's time goes, pick the one workflow where a fix pays off first, and agree the rules the AI must follow.
2
WEEK TWO: BUILD
We build a working prototype on your real data, in your own accounts, with a person approving every output.
3
HANDOVER
You get the prototype, a short report with the cost case, and a plan to run it. The fee counts toward a Build signed within 30 days.
How a Sprint works:
two weeks to one working fix.
The question we hear most is not "can AI do this?" It is "how do we know it isn't making things up, and who checked it before it went out?" Every workflow we build answers both.

1. Your rules, written down

What the AI may and may not do, agreed with you before we build.

2. Checks on the way in

Personal data is masked and off-topic requests are stopped before they reach the model.

3. Checks on the way out

Answers are validated, and any claim or link without a source is removed.

4. A person signs off

Nothing reaches a customer, a record or an inbox until a named person approves it.

5. A record of every run

What went in, what the AI did, and who approved it, so you can show your board or a regulator.
We run our own business this way. The free Snapshot you can request on this site has every source checked automatically, and we approve each one before it is sent.
Make your AI
investment accountable.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.