AI Consulting

An honest view of where AI makes money in your organization, and where it does not. With a plan you can carry out, with or without us.

  • First insightAfter the efficiency audit
  • You getPriorities, approach and business case
  • IndependentNo platform of our own to sell
Efficiency auditVan Zanten LogisticsA business caseper process

Twelve processes are assessed; the report puts three opportunities first, names what can wait and what does not pay off, and goes to management once approved.

IntakeEfficiency audit
Organization
Logistics, 140 employees
Mapped
12 processes
Systems
ERP, email and Excel
Question
Where do we start?
Processes mappedBaseline per processOpportunities rankedDone, report shared
Pixel ManagementSharedEFFICIENCY AUDITReport v1
OrganizationLogistics, 140 FTE
Reviewed12 processes
Advicestart with 3
1
Order entry from email
pays off
2
Transport planning
pays off
3
Invoice checking
pays off
4
Staff onboardingFix the data first
later
5
Customer portal
not worth it
Order: 1, 2, 3. Baseline and business case per process in the appendix.
Share the report with managementApprove and shareShared with management, 16:05
An example: twelve processes, three that pay off. Every organization has a list like this.

Most AI plans do not fail on the technology. They fail on the choice of where to start.

We look at your processes, your data and your people, and work out what each opportunity delivers. You get an order of work, not a vision document.

Too many loose ideas

Everyone has an AI idea, nobody knows which one pays off.

Experiments with no result

Pilots that never go live cost money and goodwill.

Uncertainty about rules and data

The AI Act, GDPR and where your data goes. Questions that hold up decisions.

How we solve it

The solution follows from the problem, not the other way round. These are the building blocks we use most often.

Efficiency audit

Your processes mapped, with a baseline per process.

Business case per opportunity

What solving it delivers and what it costs, before you invest.

Roadmap and sequence

Where to start, what follows and what to leave alone.

Data and privacy

GDPR, the AI Act and where your data stays, translated into choices.

Choice of tools and models

Cloud or local, buy or build. Independent advice.

Coaching for your team

So your organization can carry on by itself.

You are not buying advice. You are buying a result.

Up front, we agree what has to improve and how we will measure it. Afterwards, we show you what it delivered.

Investments that pay off

Measured in the business case per opportunity.

Faster decisions

Measured in time from idea to decision.

Fewer failed pilots

Measured in projects that go live.

Control over risk

Checked against GDPR and the AI Act.

Outcome agreement

per process
ProcessWhat costs you the most
Pain pointFrom the audit, in your words
MetricFor example payback time per opportunity
BaselineRecorded before we build
TargetAgreed together
ReviewAfter go-live and then every quarter
We measure what it delivers and adjust.

Measure. Build. Own.

After each step, you decide whether to continue.

01Free

Measure

The efficiency audit. We map your processes, take a baseline and show you where it pays off, and where it does not.

A baseline and a proposal per process
02About four weeks

Build

We build inside your existing systems, in short rounds your team tests itself. The work carries on as normal.

Working software every round, not slides
03After that

Own

You get everything in your hands. We measure what it delivers against the baseline and adjust. You can leave maintenance with us or run it yourself.

Results measured against the baseline, no per-user license

What we build is yours.

No platform you rent and no costs that grow with your usage. You get the software itself, with everything needed to understand and run it.

  • Source codein your repository
  • Integrations and workflowsdocumented
  • Prompts and rulesreadable and editable
  • Log of every actionin your own environment
  • Maintenancewith us or with you

Frequently asked questions

Not seeing your question? Ask it in the audit.

You receive a comprehensive report with identified AI opportunities, ROI calculations, a prioritized roadmap and tool recommendations. Plus a presentation session where we explain all findings and answer your questions. Everything is immediately actionable: you can start the next day.

A standard AI assessment takes 1-2 weeks: intake meeting, process analysis, solution research and reporting. For more complex challenges or organizations with multiple departments, we schedule 3-4 weeks. We align the scope with your budget and urgency.

Yes. We have no commercial ties to specific AI platforms or tool vendors. Our recommendations are based on what fits your situation best: not on kickbacks or partnerships. If custom development is needed, we build it. Otherwise we recommend the best existing tool.

That's possible. We don't just advise: we also build. If you want to develop a chatbot, automation or custom app after the assessment, we handle it. You don't need to find another party to interpret our recommendations.

The investment depends on scope, complexity and desired depth: from a focused scan of one process to a comprehensive analysis across multiple departments. We always prepare a quote after a free discovery call, so you know what to expect.

Start with the efficiency audit.

We look together at what costs you the most. You get a baseline, an overview of where it pays off and where it does not, and a proposal for the first step.