How to be the next AI native company?

A real AI operating system, by Limestone.

Every business a firm runs (winning work, delivering it, invoicing it, closing the books) already produces information all day long. Today it stops inside the tool it was created in. Connect one shared memory to all of them and the same information comes back as finished work.

Future state

What the firm is worth

The value of a firm is the sum of these five

Its people, its method, its client history, its procedures and its reach. That is the whole asset. Written down, connected and run by AI, it stops being fourteen private archives and becomes one thing the firm actually owns.

And the more integrated it is, the more it compounds: optimisation potential becomes visible instead of anecdotal, delivery gets faster, quality stops tracking seniority, new joiners land in weeks, and the whole thing is transferable. Hover a region or a category to see what sits inside it.

PPL People CMP Company CTX Context SKL Skills TLS Tools Firm memory THE FIRM'S IP

Communication

Outlook
Slack
Teams

Meetings & time

Granola
Calendar

Documents & records

SharePoint
Drive

Sales & pipeline

Salesforce
HubSpot
LinkedIn

Project plan

MOCO
Asana

Finance & compliance

DATEV
ELSTER
SAP

Outside world

Chrome
Northdata

The value of a firm is the sum of these five

Its people, its method, its client history, its procedures and its reach. That is the whole asset. Written down, connected and run by AI, it stops being multiple private archives and becomes a cohesive thing the firm owns: optimisation potential becomes visible instead of anecdotal, delivery gets faster, quality stops tracking seniority, and the whole thing is transferable.

Tap or hover a region or a category to see what sits inside it
Who actually does the work
Sales
Project Manager
Delivery agents
Reviewer
Admin
YOU
Agent = goal · tools ·  skills  · memory
The same mix every time, sharpened to one specific goal.


A language model is capacity, not competence. It is the brain of a newborn, not a colleague.

Some children are born with more of it, some with less. Here we are lucky: the one we get is close to the best available, and in plenty of narrow things already sharper than we are.

But what a brain becomes was never decided by the brain. It is decided by the environment it grows up in: what it is told about itself, what it is shown, what it is taught, what it is allowed to touch.

So the work is not the model. The work is the upbringing. And we already know how to do that: it is exactly how a firm onboards a new intern.

01
PPL

Who am I?

The first thing anyone joining a firm has to learn: their own name on the door, and whose name they are writing under.

An about-me file for every colleague: background, position, responsibilities, and all admin details: entity, tax number, contacts, authority.

Plus a communication-style file, trained from that person's own past mails and conversations and written into a skill. The point is simple: the output has to feel like they wrote it, or they will rewrite it, and then no time was saved.

02
CMP

Where do I work?

Day two of any onboarding: what this company is about, and how it makes money.

What the firm does, the legal and administrative facts, the service lines and the offering behind each one.

The rate card and what we actually charge, how we scope and price. And who our clients are: the CRM, in the same place as everything else.

03
CTX

What has already happened?

The part an intern normally picks up by osmosis over a year. This is the memory itself.

Every meeting note. Every mail chain. Every project and what was delivered in it, when, to whom, and what was decided on the way.

This is the region that grows fastest and pays back hardest, and the one with walls: a search can never cross from one client to another.

04
SKL

How do I do the job?

Knowing who you are, where you work and what the project is still doesn't tell you how to run it.

Anything we do, and anything we would coach a colleague through, can be written into a skill: when to use it, what it needs, the method step by step, what "good" looks like.

And a skill has an evaluation built in. Feedback after a delivery is not lost in a review call; it is written back into the skill, so the next run is better. This is the difference between an intern who improves and one who repeats the same mistake for a year.

05
TLS

What may I touch?

On a building site the new hire is handed a trowel, a van and a key. Ours are applications.

Calendar, Slack, Outlook, SharePoint, MOCO, DATEV. Hand those over and the AI stops answering and starts working: reading where the work lives, and doing it there.

From that moment it is an extension of your hand, and your job changes shape: you are the project manager. You brief, you review, you approve. Nothing leaves without you.

Every firm can buy the same model. Nobody can buy the upbringing: the voices, the method, the client history, the corrections. That is the only part that compounds, and it is the part we own. Which is also the point: this memory is not admin, it is the firm's IP. The method, the relationships and the judgement, finally written down in one place, and therefore, for the first time, something that can be valued, sold or handed over rather than something that leaves at 6pm.

No new tool for anyone to learn. The loop runs inside the software the firm already opens every morning.

01
Everything flows in

A meeting ends, an invoice is booked, a document is filed. Each connector hands that over automatically, tagged to the right client and engagement, nothing typed twice.

02
The memory applies it

It knows who you are and how you write, how the firm does the job, what has already happened with this client, and which procedure fits the task in front of you.

03
Finished work goes back out

A drafted mail in Outlook, a status report in SharePoint, a project record in MOCO. And the act of doing it is filed back into the memory, so the next task starts further ahead than this one did.

We run this system ourselves. That is the whole qualification: we are not selling a theory, we are selling the thing we work in every day.

Two weeks
Book an AI audit

We map where your information stops today, which work is repeated by hand, and what a shared memory would be worth in hours and in euros. You get a prioritised roadmap with the first five procedures named, not a slide deck.

Six sessions
AI Fluency Program

Your team learns to work with agents rather than around them: how to brief, how to review, how to write a skill, and what must never be handed over. Hands-on, in your own tools, on your own live work.

Eight to twelve weeks
Help me implement

We build what is on this page inside your own tenant: the memory, the first skills, the connectors and the write-back loop. Your data stays yours, and the archive is a folder tree you can carry out at any moment.

Per agent, two to three weeks
Build me agents

You name the job that eats your week. We build the agent for it: the skill, the scope, the tools it may touch, the approval gate, and the eval that makes it better after every run. It ships inside your tenant and reports to a human.

Scoped per case
Build me a custom tool

When no product on the market does the thing: a connector, an internal app, a calculation engine, a client-facing portal. Built on your own infrastructure, documented, and yours to keep.

Selection to go-live
AI native ERP

Finance systems built for this decade, not retrofitted to it. Requirements, vendor comparison, German tax and e-invoicing compliance, migration, UAT and cutover. The ledger ends up connected to the same memory as everything else.

Want to talk this through, explore the services in more detail, or work on it together? Reach out to our AI & Transformation lead. Always happy to talk.

Balázs Facskó, Manager, AI-driven Finance & Transformation

Balázs Facskó

Manager, AI-driven Finance & Transformation
Team:
AI-driven Finance & Transformation
Office:
Berlin, Germany