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People. Data. Technology. In that order.

Most AI projects start with technology. We start with your people. That's the difference.

Three pillars. One triangle.

If you want to succeed with AI, you need to close the triangle. People, data and technology must work together seamlessly. Not as separate projects, but as a system. The triangle only works when all three sides are strong.

The triangle of hypereffectiveness: People, Data, Technology
1. People

We start on the work floor

Every AI engagement starts with conversations. Not with your IT department, but with the people who do the work. Your planner, your quality manager, your team leader. How do they think? What information are they missing? Where do they lose time?

That knowledge is the raw material for everything we build. Because an AI agent that doesn't fit how your team works won't be used. And a solution that isn't used delivers nothing.

That's why we involve your stakeholders from day one. Not as spectators, but as co-owners. They decide what gets built. They test it. And they're the first to work with it.

2. Data

From silo to foundation

Your data is everywhere. In SAP, Exact, Excel, emails, people's heads. Most organisations don't have a data problem. They have a connection problem. Data that doesn't come together is data that doesn't work.

We pull your data out of the silos and make it centrally available on BrainGrounds. That's the foundation. Only when your data is centralized can you put it to work.

No big-bang migration. We start with the data your first use case needs. Lean, fast, and immediately usable.

3. Technology

From data to action

With your data centrally on BrainGrounds we put it to work for you. An algorithm for planning optimisation or demand forecasting. Or an AI agent that makes your data directly intelligent and actionable. No reports after the fact, but data that actively contributes.

The real power lies in the AI agents. Smart digital colleagues that support your team every day. They analyse data, detect patterns and prepare decisions. Your team reviews and decides.

Why do we do this? To free people from tasks a computer can do better. So they can do what makes us uniquely human.

Seven principles we never deviate from.

1

People first, technology follows

We start every engagement on the work floor. Not in the boardroom, not with IT. With the people who do the work. Their knowledge, their frustrations and their ways of working determine what we build. Technology that doesn't align with how people work doesn't work.

2

Not a project, but a partnership

We don't do standalone projects with hourly billing and a final report. We enter a partnership with guaranteed results. Your success is our success. Literally. We only do well when you see returns.

3

Stakeholders as co-owners

The people who will work with the solution help build it. Not after the fact in a demo, but from the very first conversation. That creates buy-in, quality, and solutions that actually get used.

4

Data that works, not data that reports

We don't build dashboards. We build systems that think ahead and act. The difference: a dashboard tells you what happened. Our solutions tell you what to do now.

5

Production, not pilots

We don't do endless pilots. Once the business case holds up, the solution goes into production. Your team works with it. For real. That means: faster results, faster learning, faster adjustments. The first version doesn't have to be perfect. It has to work.

6

Every step funds the next

We start with the use case that delivers the most value. That one finances the second. And the second finances the third. That's how you build a flywheel without the investment spiralling out of control.

7

The business case decides

If the business case doesn't hold up, we don't start. No nice-to-have projects, no AI for the sake of AI. Every euro you invest must demonstrably yield more. We validate that upfront, not after the fact.

You don't become hypereffective with a project.

That's why we're your partner. Not your vendor. We work as long as there's inefficiency to find. You decide what we tackle and when.

From inspiration to production. No pilot in between.

Step 1

AI Inspiration Session (2 hours)

What: We come to your table. With your management and decision-makers. No PowerPoint presentation, but a working session.

How: We show what AI can concretely mean for your sector and your organisation. With real examples from comparable companies. Together we identify the three to five opportunities with the most impact.

Result: A shortlist of concrete opportunities. Not an 80-page report, but a clear overview of where the biggest gains are.

Investment: Free, no obligations.

Step 2

Define & Discover (2 weeks)

What: We fully develop one use case. We talk with your team on the work floor, connect the required data, and build the business case.

How: Our specialists spend two weeks working alongside your team. We understand the workflow, the pain points, and the available data. We map out the required data and determine which integrations are needed.

Result: A clear business case with expected ROI, a technical plan, and a go/no-go recommendation for your board. Honest and substantiated.

Investment: Fixed price, agreed in advance.

Step 3

Production

What: With a go, we build the solution and put it into production. No pilot, no sandbox. Your team works with it.

How: In two-week sprints. Each sprint delivers working functionality. Your stakeholders are involved at every step. They co-developed the solution and already have ownership.

Result: A working AI agent that supports your team every day. Measurable results within weeks, not months.

Step 4

Scale

What: The first use case is running. Now we keep building.

How: Each subsequent use case goes faster because the platform is already in place and your team is used to the workflow. We prioritise based on expected ROI.

Result: A flywheel. Every step funds the next. Your organisation becomes hypereffective step by step.

Questions about the Hypereffective Method

The Hypereffective Method is built on three pillars: People, Data, Technology. Always in that order. We start with the people on the work floor, connect their data, and build AI agents that support the team every day.

Technology that does not align with how people work will not be adopted. And a solution that is not adopted delivers nothing. That is why we start every engagement on the work floor, not with IT.

1. People first, technology follows. 2. Not a project, but a partnership. 3. Stakeholders as co-owners. 4. Data that works, not data that reports. 5. Production, not pilots. 6. Every step finances the next. 7. The business case decides.

Het traject start met een gratis AI Inspiratiesessie van 2 uur, gevolgd door een Define & Discover fase van 2 weken. Daarna gaan we direct in productie met sprints van 2 weken. Geen eindeloze pilots.

The AI Inspiration Session is free and without obligations. In 2 hours we show you what AI can concretely mean for your organisation.

You know the approach. The next step is simple.

We start with a short introductory call. If there's a fit, we schedule the AI Inspiration Session together.