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Product — DigitAI OS

Your own AI company.
With employees you always keep in view.

Eight steps from the first sentence to a reviewable pull request: watch CEO, PM, CTO, CFO and CISO work as AI roles. Approvals stay with you by default; any authority you grant has an explicit duration and tight limits.

Live flow

This is how your AI company works.
You stay in control.

Job

"We want a scanner that shows a visitor where their process is losing money."

CEO Job accepted

  • Booking page with calendar
  • Connection to your calendar
  • Confirmation and reminder email

Packages CTO

  • Booking page cheaper model approved
  • Calendar connection flagship model in review
  • Confirmation email cheaper model implementing
  • Reminder logic flagship model queued

Gates

  • CISO Security — passed
  • CFO Cost — reviewed
  • Quality — passed

Approval

Everything checked. Ready for your approval.

Not yet approved.

Pull request ready. feat/growth-opportunity-scanner → main

Security ✓ · Quality ✓ · Approved by you

You describe what you need.

One sentence in plain language is enough — DigitAI OS takes your idea and puts it into the pipeline.

The CEO decides: is it worth it?

The CEO role weighs scope and risk of the job and approves it.

The PM writes the spec.

Goals, boundaries and acceptance criteria are set before a single line of code exists.

The CTO breaks the job into packages.

Every work package gets a clear scope and its own acceptance criteria.

Every package gets a tested model.

Quality, capability, data path and availability come first; cost remains visible but secondary.

CISO and CFO check in.

Security, cost and quality run through real gates before anything counts as done.

Gate A: you approve.

In the standard configuration, work waits for your click; any delegated authority is time-limited and tightly bounded.

The result arrives as a pull request.

Traceable and accompanied by review evidence — not sent straight to production by default.

The real interface

This is your daily view.

This interactive cockpit shows the intended DigitAI OS workflow. A fully synthetic sample job moves through planning, staffing, implementation and review; timings are demo values. Before a stage that requires approval, the flow stops and waits for you.

Sample order “Growth Opportunity Scanner” — complete.

See the result
DigitAI OS complete 0 % LIVE EN Theme

We need a tool like our Growth Opportunity Scanner: visitors answer a handful of questions about how they work today, and it shows them in plain numbers where they are losing money — with a conservative and a realistic scenario. The result should be shareable and reach us as an enquiry.

IN THE PIPELINE 3 items autopilot on self-decision off
smartshop-os

Growth Opportunity Scanner: question flow, calculation core and shareable result

running 0 %
1
smartshop-os

Send the scanner result as a PDF, on your letterhead

2
website

Add trade benchmarks — the estimate is too coarse without them

Order CEO Specification Investor gate Implementation6/6 Integration Tests Security Done
07:41elapsed
5 / 13departments engaged
0in flight
6 / 6delivered
3review findings
top modelchief model
INVESTOR
100 % sharesabsolute voting rights
in control — no vote pending
your vote is required

The order is reviewed and packaged. Without your approval not a single line goes into work.

approved via cockpit

Approved by you — the implementation then ran through without a single follow-up question.

ASK THE COMPANY

CEO
not engaged
drafting the business brief
gopriority high

Someone who sees their own bottleneck gets in touch. A calculator with visible assumptions sells better than any brochure.

PRODUCT
not engaged
writing the spec
spec ready9 criteria6 stories

Bottleneck analysis with two scenarios and a shareable result

CFO
no spend yet
counting
48 calls312k in57k outlist price

absorbed by the subscription — no API billing

CISO
standing by
auditing the integration
clear
CTO
top modeleffort highstanding by
top modeleffort highdelegating07:41
top modeleffort highdelegating07:41
Backendassigned2
  • P4approved02:38

    Calculation core: bottleneck, scenarios, assumptions

    aios/scanner-p4-calculation-core
    top model
    reviewapprove1 finding
  • P5approved01:54

    Result e-mail and shareable link

    aios/scanner-p5-result-mail
    value model
no assignment
Frontendassigned1
  • P1approved02:11

    Question flow and result view

    aios/scanner-p1-question-flow
    value model
no assignment
Databaseassigned1
  • P2approved01:26

    Answer store and industry benchmarks

    aios/scanner-p2-answer-store
    value model
no assignment
Apiassigned1
  • P3approved03:02

    Evaluation API handing over the enquiry

    aios/scanner-p3-evaluation-api
    top model
    reviewapprove2 findings
no assignment
Testingassigned1
  • P6approved01:47

    End-to-end test of the question flow

    aios/scanner-p6-e2e-test
    value model
no assignment
Mobilestandby0
no assignment
Securitystandby0
no assignment
Devopsstandby0
no assignment
Documentationstandby0
no assignment
Performancestandby0
no assignment
Refactoringstandby0
no assignment
Researchstandby0
no assignment
Designstandby0
no assignment
A investor B review C tests S security

IDEAS

No ideas yet. The first one is yours.

What it costs

Not cheaper.
Accountable.

One important limit up front: DigitAI OS uses more compute than a single prompt. A job passes management, specification, decomposition, a working session per package, review, possible rework, integration and security sign-off. Actual usage depends on scope, models and the number of review loops.

What you get for it

  • Reviewed work, not raw output. Every package faces a review that can reject it when acceptance criteria are missed.
  • Boundaries that hold. A package may only touch the files it was given. Straying is rejected, not merged.
  • A record that stands up. Who built what on which model, which gate passed when, and in whose words you approved.
  • Your time. Suitable jobs can run in the background while decisions and approvals remain with accountable people.

Where performance and cost meet

  • Performance before price. A smaller model is used only when it meets the defined acceptance criteria in practice; otherwise the stronger model wins.
  • Fewer second attempts. What passes review on the first pass costs you no correction loop and no second appointment.
  • No silent waste. Rejected work is shown as rejected, with its price. You never pay twice without seeing it.

Anyone telling you an AI company is cheaper than a prompt has never run one. It is more thorough — and it writes down what it did.

New — autopilot & self-decision

How much may your company
decide without you?

At first every run had to be started by hand, and every approval came from you personally. Both are a switch now — and both switches have limits that are deliberately tight. Flip them and see what changes.

The queue — across every project

Four ideas waiting. Without the autopilot, nothing moves on its own.

    One run at a time, across the whole company. Two runs share one model window and both come out half as fast — that is not thrift, it is physics.

    Gate A — the investor

    100% of the shares, absolute voting rights. This is where building is decided.

    Automatic means the work is prepared without you — never built without you. The autopilot picks up the next idea, plans it, breaks it down and packages it. Gate A stands before the first line of code. It is yours, and it stays yours unless you hand it over for a bounded stretch yourself.

    Free initial estimate

    What would your AI company build first?

    Describe your project in the Scoper — the result sets out the first scope, its boundaries and the most useful starting point for DigitAI OS.

    Estimate your project Ask by email Message on WhatsApp We usually reply within 24 hours.