Every line on this screen maps to an execution that actually happened.
ORGANIZE
How the company runs
Describe who you are, what the business does, and what you want this year. The org design, the division of responsibility, the scheduling and the execution are handled for you.
State the goal
Say it once and the company starts moving. No flowcharts, no configuration — just say what you want.
Form the team
It sizes the roles and the reporting lines against the goal, and staffs an AI workforce that actually does the work.
Execute and deliver
From picking the topic to the data coming back, the whole chain runs itself — you never take over midway.
Observe and verify
“Completed”≠“In effect”。Execution receipts, idempotency keys and approval gates make every step verifiable.
Upgrade itself
It keeps deepening its understanding of this company; the capabilities it lacks, it builds itself.
PLATFORM
Build on the
Company OS
One call creates a real Work. Governance, budget caps, approvals and receipts all take effect at the API layer — holding a key does not get you around them.
- Every call returns a receiptreceipt_id can be verified independently, not just logged.
- Idempotency keyThe same key never executes twice.
- Approvals cannot be bypassedHigh-risk actions return approval_required and wait for you.
- Isolation at the API layerTenant boundaries are enforced server-side, not left to the caller.
Note two of these lines:the assignee is chosen by capability, load and cost; spending and public publishing still need your approval. The API is not a way around governance.
AI WORKFORCE
Not every employee is equal.
And it can be measured.
Every AI employee keeps a verifiable work record. Strong performers take on higher-value work; weak ones are downgraded, retrained, reassigned — and removed if it comes to that.
Only 4 points behind on match, about three times cheaper, and Mia is at capacity.
The highest score does not automatically win the work. Skill match, current load, cost, risk level and authority decide it together — and a share of the work is always reserved for challengers, so new employees have a way up.
Scores are not written by the AI. They can only be settled from real evidence and real outcomes. An AI cannot award itself points, cannot edit the performance ledger, and never gains authority by scoring well.
GROWTH
From topic to traffic data
the whole chain runs itself
Topics come from real search data. Drafts go to you for approval. Once live, each piece is distributed to every social account, and impressions and clicks come back to decide what gets written next.
Topic, draft, images and internal links, in order. It pauses for your approval before publishing, then re-reads the page from the public internet to confirm it really is live.
The same piece is rewritten for each platform and scheduled to LinkedIn, X and Facebook. Failures retry, and tell you why.
Impressions, clicks and positions come back from Search Console. What worked and what didn't decides the next batch of topics.
OBSERVE
“Completed”≠“In effect”
Most AI stops the moment a task is marked complete. VINCIS goes back outside and checks whether the thing actually happened.
A row in a database and a sentence from a model. Nothing changed outside.
Re-read it from the outside, get real numbers, and only then write the outcome back. Sending mail, publishing content, shipping code — the same standard applies.
LEARN
It keeps deepening
its grasp of your business
The longer it runs, the better it understands your business, your customers, your team, past decisions, and which plays actually work here. Switching models does not take that away.
Long-form published Friday 09:00 reads above the weekday average on day one
Changed how the 41st job of this kind was executed
- 01One success is not a rule
It separates three things: verifiable fact, experience from a single piece of work, and model inference.
- 02Model capability is not company experience
Which model you plug in decides reasoning power. Years of company experience stay inside VINCIS.
- 03Next time has to be different
Not chat logs in a database, but a real change in how the same kind of work gets done.
SELF-UPGRADE
Missing capabilities
it builds itself
When it finds a fault or a missing capability, it does not stop at "I can't". It opens an engineering task: read its own code, make the change, run the tests, submit to an independent audit, and finally hand it to you for approval.
EXECUTE
When the screen says running
something really is running
Search, read pages, write code, publish content, process data — and drive back-office systems that have no API at all. Every step is visible: what is running, which capabilities it used, where it is blocked, and what comes next.
Waiting on you. No money moves until you approve, and the next two steps will not start.
What the interface shows is what the backend is actually doing.
Spending, publishing, changing production, sending mail — each needs approval first.
Not "working on it", but what is missing, who it is waiting on, and how it gets resolved.
OWNER DESK
One screen answers
how the company is doing
You don't manage a hundred agents. You watch four things: what shipped today, where it is blocked, what needs your decision, and what it cost.