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Digital AI transformation

Work smarter. Move faster. People and tech.

See the wood for the trees again

Your employees already use AI, only each in their own way and with their own tool. The possibilities seem endless, and that is exactly why hardly anyone knows where to start. Meanwhile, more and more is asked of your organisation. We help you move from loose experiments to a clear course: with an AI policy, with your own data and context, and with systems built to fit you.

Talk it through with Hans

Why an AI transformation with MARSS?

01Policy first, then tools

Without agreements, everyone uses their own tool, with company data you don't want to hand over. Together we draw up an AI policy: what is allowed, what isn't, with which data and who is responsible for what. So your team can get started safely.

02Your data and context in order

We connect the systems you already have and bring your data together in one place. Your existing systems and Excel files keep working, we make the connection. That is the foundation every AI runs on.

03Custom, built in parts

No big package your organisation has to bend around. We build in modules, start with what delivers most and prove every step before taking the next.

04People stay in charge

AI searches, organises and prepares. Your employees check and decide. That way trust in the technology grows, and quality stays where it belongs: with the people responsible for it.

05Independent, with us alongside

We train someone in your organisation to become the AI owner. After a year your team runs it themselves, and we remain the steady partner for further development. You are not dependent, you are agile.

Our starting point

AI is only as good as your data and context.

Models get smarter and cheaper every month. What doesn't improve by itself is what you put in: your data, your processes and the knowledge of your people. That is where your edge lies. Get it in order, and every new AI machine works for you from day one. That is how you become the innovator in your industry, whatever technology comes next.

  • Your own AI, with your own data and knowledge, in your own environment
  • Not tied to one vendor or model: you switch to whatever works best
  • Clear agreements on what is and isn't allowed, set down in your AI policy

Mostly looking for a strong website that measures and connects everything? Then Rocket is a better fit.

See Rocket

A project up close

An AI transformation in practice.

An example, without names. A growing organisation with several locations, a dozen systems that don't talk to each other and a team losing a lot of time retyping and searching. This is how we tackled it.

The baseline

Nine domains, each with a score for today and an ambition for a year from now. So everyone knows where the gains are, and where we start.

  • Data and reporting Now 5 Goal 9
  • AI and automation Now 4 Goal 9
  • Systems and integrations Now 5 Goal 9
  • Sales and follow-up Now 5 Goal 9
  • Website and conversion Now 6 Goal 9
  • Marketing and campaigns Now 6 Goal 9
  • Customer journey and service Now 7 Goal 9
  • People and knowledge Now 6 Goal 9
  • Policy and security Now 4 Goal 9
  • Now 5,3
  • Goal 9

The rocket, layer by layer

We build in parts. Each layer works on its own and makes the next one stronger.

  1. 5Screens dashboards and cockpits your team works with every day.
  2. 4Automation follow-up, reports and routine work run by themselves.
  3. 3Data and AI one source of truth, with AI that analyses and prepares.
  4. 2The integration layer connects everything, so nobody has to retype anything.
  5. 1Your existing systems stay in place. We replace nothing that works well.

How we work

From loose experiments to an organisation that works with AI

  1. 01

    Baseline

    Through conversations and a focused questionnaire we map your organisation across nine domains: from data and systems to people and knowledge. Per domain a score for today and an ambition for a year from now.

    You get: a scorecard with your biggest opportunities.

  2. 02

    Plan of approach

    We calculate where the gains are, in time and in revenue, and test every assumption with your team. The result is a phased plan, with a clear "done when" for each phase. Honest about what it costs and what it delivers.

    You get: a plan with phases, priorities and investment.

  3. 03

    AI policy and foundation

    Together we set down how you use AI, connect the systems and bring your data into one place. Your existing systems keep running as usual.

    You get: an AI policy, integrations and one central data source.

  4. 04

    Building in modules

    We first build the module that delivers most, show it early and improve it with the people who use it. Only once it is proven does the next one follow.

    You get: working modules, step by step.

  5. 05

    Hand over and develop further

    We train your own AI owner and measure every three months what it delivers. After a year you run it yourselves, with MARSS as a steady partner alongside.

    You get: a team that works with AI independently.

What is your next step? Let's talk.

hello@marss.amsterdam +31 20 210 1724

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