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AI Operating System · for enterprises and brands

AI is no longer a tool.

AI is no longer a tool.

AI is no longer a tool.

An AI Operating System is the layer your organisation runs on.

An AI Operating System is the layer your organisation runs on.

An AI Operating System is the layer your organisation runs on.

For enterprises and brands that want AI working across every team, not in a few browser tabs. We build one system that knows your organisation, is connected to your data and takes over the work that comes back every week.

For enterprises and brands that want AI working across every team, not in a few browser tabs. We build one system that knows your organisation, is connected to your data and takes over the work that comes back every week.

For enterprises and brands that want AI working across every team, not in a few browser tabs. We build one system that knows your organisation, is connected to your data and takes over the work that comes back every week.

Brands we build and grow with

AI Operating System for Your Organisation | FlatlineAI Operating System for Your Organisation | FlatlineAI Operating System for Your Organisation | FlatlineAI Operating System for Your Organisation | FlatlineAI Operating System for Your Organisation | FlatlineAI Operating System for Your Organisation | FlatlineAI Operating System for Your Organisation | FlatlineAI Operating System for Your Organisation | FlatlineAI Operating System for Your Organisation | FlatlineAI Operating System for Your Organisation | Flatline

What it delivers

  • Lower costs

    Fewer hours on repeat work and fewer separate licences and tools.

  • One voice, one brand

    Every team works from the same context, tone of voice and brand guidelines.

  • Secure and in control

    Set up as an enterprise OS: access per role, data under your rules and insight into what the system does.

  • Built to scale

    A new team, process or model plugs into the same foundation.

  • Up to 80% faster

    Proposals, reports and first drafts in minutes instead of hours.

WHAT WE SEE

Everyone has an account.

Everyone has an account.

Everyone has an account.

Almost no one has a way of working.

Almost no one has a way of working.

Almost no one has a way of working.

Licences are rolled out, the demos went well, the enthusiasm lasted a few weeks. Then one person uses Claude, another ChatGPT, a third Copilot and a fourth nothing at all.

Licences are rolled out, the demos went well, the enthusiasm lasted a few weeks. Then one person uses Claude, another ChatGPT, a third Copilot and a fourth nothing at all.

Licences are rolled out, the demos went well, the enthusiasm lasted a few weeks. Then one person uses Claude, another ChatGPT, a third Copilot and a fourth nothing at all.

  • Knowledge stays with individuals
  • Company data is not in the system
  • Answers stay generic
  • Every team uses a different tool
  • Nobody owns the way of working
  • Pilots that never scale

Adoption is uneven. The productivity that was promised never arrives.

That is not a tool problem. It is a foundation problem.

THE SHIFT

80% of knowledge work is repeatable.

80% of knowledge work is repeatable.

80% of knowledge work is repeatable.

That time belongs to strategy.

That time belongs to strategy.

That time belongs to strategy.

Proposals, reports, meeting notes, research, first drafts. Patterns that come back every week. An AI Operating System takes over that work, so your people spend their hours on what moves the organisation forward.

Proposals, reports, meeting notes, research, first drafts. Patterns that come back every week. An AI Operating System takes over that work, so your people spend their hours on what moves the organisation forward.

Proposals, reports, meeting notes, research, first drafts. Patterns that come back every week. An AI Operating System takes over that work, so your people spend their hours on what moves the organisation forward.

The old way
With an AI Operating System

Moves to the system

  • Proposals and quotes
  • Reports and presentations
  • Meeting notes and follow-ups
  • Research and looking up data

Your team gets time for

  • Strategy and planning
  • Clients and relationships
  • Creative and product decisions
  • Building the organisation

THE MODEL

Five layers around your organisation.

Five layers around your organisation.

Five layers around your organisation.

Not one more tool, but the place everyone works from.

Not one more tool, but the place everyone works from.

Not one more tool, but the place everyone works from.

One central system that holds your context, is connected to your data and contains the processes that support daily work. Each layer strengthens the next.

One central system that holds your context, is connected to your data and contains the processes that support daily work. Each layer strengthens the next.

One central system that holds your context, is connected to your data and contains the processes that support daily work. Each layer strengthens the next.

CONTEXTDATAINTELLIGENCEAUTOMATIONBUILDYOURORGANISATION
  1. Context

    We capture company context, instructions and agreements, so the system learns how your organisation works today.

  2. Data

    We connect the sources that matter, such as Microsoft 365, Google Drive, your CRM and your ERP, so the system works with your own information.

  3. Intelligence

    Knowledge from meetings, emails and conversations is captured and turned into fixed processes. It stays in the organisation instead of leaving with people.

  4. Automation

    Recurring processes become skills and agents that support a task from start to finish. Built once, used by everyone.

  5. Build

    The time that frees up goes to clients, to growth and to the work that matters. Or simply to going home on time.

Runs on any model

Not tied to one provider. Your knowledge stays.

Context, data connections and skills live in your operating system, not inside one AI vendor. Claude today, GPT or Gemini tomorrow, or an open-source model on your own infrastructure. When a better model arrives, you switch. Your organisation keeps working.

Your AI Operating System

Context
Data
Skills
Agents

Click a model to switch

  • No vendor lock-in
  • Best model per task
  • Data under your rules

PARTNERS

First official Claude partner in the EU.

First official Claude partner in the EU.

First official Claude partner in the EU.

We build on the platforms that lead in AI.

We build on the platforms that lead in AI.

We build on the platforms that lead in AI.

We work with a selection of technology partners and use their models and tools every day, in our own work and in the systems we build for clients. That keeps us close to every new release, so your operating system runs on the best model for each task.

We work with a selection of technology partners and use their models and tools every day, in our own work and in the systems we build for clients. That keeps us close to every new release, so your operating system runs on the best model for each task.

We work with a selection of technology partners and use their models and tools every day, in our own work and in the systems we build for clients. That keeps us close to every new release, so your operating system runs on the best model for each task.

  • AI Operating System for Your Organisation | Flatline
  • AI Operating System for Your Organisation | Flatline
  • AI Operating System for Your Organisation | Flatline
  • AI Operating System for Your Organisation | Flatline
  • AI Operating System for Your Organisation | Flatline
  • AI Operating System for Your Organisation | Flatline
  • Named in the top 0.5% of AI integrators worldwide
  • The only European Enterprise AI integrator

HOW WE BUILD IT

From foundation to a system

From foundation to a system

From foundation to a system

that gets faster every month.

that gets faster every month.

that gets faster every month.

We start small and visible: one process that works in the first phase. Then we bring the organisation in and keep improving.

We start small and visible: one process that works in the first phase. Then we bring the organisation in and keep improving.

  1. Phase 01

    Foundation and the first process

    With management and IT we set the architecture, AI policy and data connections. In the same phase we build one process end to end, so the value is visible straight away.

    • Architecture and AI policy
    • Context and data connections
    • First process live
  2. Phase 02

    Roll-out and training the organisation

    We bring the wider team into the way of working: training per team, an owner per department and the first skills for the work each team repeats.

    • Training per team
    • An owner per department
    • Skills library in use
  3. Phase 03 · every month

    Optimise and speed up processes

    Every month we pick the next processes, add skills and make existing ones faster. Connections stay current, so your lead keeps growing.

    • New skills and agents
    • Monthly review of time saved
    • New models tested and switched

Processes we optimise every month

Examples per department

  • FinanceMonth-end reports, invoice checks, forecasts
  • CreativeBriefs, concept routes, content variations
  • MarketingCampaign reports, content calendars, SEO
  • DevelopmentCode review, documentation, tickets
  • DesignAsset variations, design QA, handover
  • SalesProposals, call preparation, CRM updates
  • OperationsPlanning, supplier email, status updates
  • HR and supportOnboarding, policy and customer questions

PER ROLE

What it changes for each role.

What it changes for each role.

What it changes for each role.

Concrete use cases per team.

Concrete use cases per team.

Concrete use cases per team.

The same operating system, used differently by every team. A few examples of what changes in daily work.

The same operating system, used differently by every team. A few examples of what changes in daily work.

E-commerce manager

More grip on the range, the numbers and the campaigns, with less manual work.

  • Product texts and translations for the whole range in one run
  • A daily overview of sales, stock and campaigns
  • Price and stock issues flagged before customers notice
  • Campaign and promotion briefs prepared for you

GET STARTED

See what it would do

See what it would do

See what it would do

for your organisation.

for your organisation.

for your organisation.

In an intake we map your recurring work, the data you would connect and the first process we would build. You leave with a concrete plan, whether you work with us or not.

In an intake we map your recurring work, the data you would connect and the first process we would build. You leave with a concrete plan, whether you work with us or not.

  1. The processes with the most repeatable work
  2. Which sources and tools to connect first
  3. A first process and a realistic plan

Plan an intake

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FAQ

We’d love to answer all your questions

We’d love to answer all your questions

We’d love to answer all your questions

Which AI models does it work with?

With all major providers: Claude, GPT, Gemini, Mistral and open-source models. Your context and skills live in the system, so you can switch models or use a different model per task.

What is an AI Operating System?

One central system around your organisation. It holds your context, is connected to your data and contains the skills and agents your team uses for recurring work. Not a separate tool next to the others, but the place people work from.

How is this different from AI licences for everyone?

A licence gives individuals a tool. An AI Operating System gives the organisation a shared way of working: the same context, the same data connections and skills that everyone uses and that are maintained in one place.

Which systems can it connect to?

Common sources such as Microsoft 365, Google Workspace, your CRM, your ERP and your document storage. If a system has no API or export, we tell you before we start.

How do we start?

With a conversation with management and IT about the work that comes back most often and the systems involved. From there we plan the foundation.

We’d love to hear about your project.

We’d love to hear about your project.

We’d love to hear about your project.