✓ AI-driven. Human-focused. ✓ Secure knowledge without a new system ✓ AFAS · Exact · Microsoft 365 integration ✓ Sources visible with every important answer ✓ From signal to owner and action ✓ Get it done without muddling through.
✓ Fixed price, no hourly billing ✓ Up and running in two weeks ✓ For Dutch SMBs
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CONNECTIONS

Integrations

Connect AFAS, Exact Online, Twinfield, webshops and Microsoft 365 so the same data doesn't need to be entered twice.

Integrations

Not replace. Connect.

Entering the same customer in three systems costs more than time — it costs reliability. We connect the packages you already have and start where the same data is now being entered twice.

Mailbox → fileWebshop → accountingForm → CRMHours → invoicingInventory → webshopHR signal → knowledge transfer
Our rule

Don't connect everything. First connect where duplicate work arises.

We start at the place where the same data is re-entered by different people. That's usually where the business case is clearest and the result most visible.

View the complete guide →

The way it works now

  • The appointment is in one colleague's mailbox
  • Data is manually retyped from one system to another
  • The person who knows is on vacation
  • No one can see afterwards why this decision was made

As it is

  • The agreement is stored with the client, findable for everyone
  • Once entered, information flows through to the rest
  • Work continues, even if someone is absent
  • Every decision has a source, an owner, and a date
drag with your finger
What if Peter leaves? Two out of five rules on this page disappear. That's how it feels when knowledge isn't part of the company.

What is your next step?

Also good to know: frequently asked questions · security and data · terms and conditions · partners · research and figures · templates · what's changing · where you start

Where does the process break down in practice?

Two systems may exchange data technically, but that does not make the process reliable. Define the source of truth and who resolves errors first.

Direct answer

Only integrate what demonstrably causes duplicate work, errors or delays. Start with one data stream, document ownership and error handling, then scale.

What we do

We connect analysis, business intelligence, data and execution so you don't get stuck in advice or loose tooling.

How it works

  1. We clarify the current situation, data and the real bottleneck.
  2. We determine the smallest working solution, owner and measurable outcome.
  3. We implement or prioritize the next step and verify the result.
  4. We secure what works and stop or fix what doesn't work.

What you get

A concrete analysis, priorities, decision criteria, an executable next step and visibility into what needs to be built, integrated or secured next.

For whom and whom not

Right for Dutch SMB organizations that want to solve a concrete process, knowledge, data or AI problem. Not for organizations looking only for a generic tool demo or unproven AI promise.

Costs and choice

Price and scope depend on the chosen next step. View the current fixed packages and pricing logic at pricing for digitization.

Risks and concerns

We work step by step, make assumptions and ownership explicit, use only the minimum necessary data, and maintain human control over decisions and execution.

Frequently asked questions before you decide

Does everything have to be done at once?

No. The preference is one clearly defined problem with a measurable outcome, then scale up.

What does it cost?

The current pricing and package logic is on the pricing page; custom work is only chosen if the scope really requires it.

How do you prevent a trajectory without results?

By defining the problem, owner, success metric and stop criteria in advance, and doing readback and verification after each step.

How we assess your situation

We map your current process, systems, exceptions and costs. Only then do we advise whether an off-the-shelf solution, a custom integration or another approach makes sense.