The AI Partnership
Everyone has AI on the agenda, almost nobody knows where to start. We audit your business, find the processes where the work piles up, and shut them down.
One conversation of an hour. Proposal with a business case within two working days.
Places where the work piles up. Not spectacular, but back again every week.
Not IT problems. Processes that have been done by hand for too long. AI is the means, never the goal.
Baseline and target
During the Kickoff we measure your AI maturity across seven dimensions. That gives you one picture with a starting point and a target: where the organisation stands now, and where it needs to be twelve months from now. We measure again every quarter, so you can see whether it works.
Profile · now vs. target
2.7
now
4.1
target after 12 months
Biggest jumpData foundation (2 to 4)
What we measure, on a scale of 1 to 5
Strategy and Vision+1 jump
How clear and shared is the AI vision at board level? Is the strategy written down and who holds the mandate?
Data foundation+2 jump
Is data centrally available, structured and accessible for automation and AI?
Technology and Infrastructure+1 jump
Which tools, cloud platforms and integrations are in place? How easily do you connect new systems?
People and Skills+2 jump
Does the team know AI tools, prompting and automation? Is there capacity and willingness to learn?
Processes and Adoption+1 jump
Are processes clearly described and actively optimised? How did earlier change programmes go?
Governance and Risk+2 jump
Is there policy for AI use, data ethics, privacy and security? How is risk weighed against speed?
Culture and Change+1 jump
How does the organisation deal with change? Is there room to experiment, fail and learn?
The profile above is a representative example, not a client figure. Your own baseline comes out of the Kickoff, together with the prioritized list we start the year with.
Our method
AI Process Optimisation: in one working session we map the work into measurable steps, decide per step what AI takes over, and calculate what that delivers. Not a talk about what AI could do, but the maths on what it delivers in your organisation.
We measure AI maturity across seven dimensions and set the financial framing and AI policy.
Baseline across seven dimensions
Everyone at the table scores along, from 1 to 5. The average is the start, the ambition is the target.
3,0start4,0target after 12 months
Framing and policy
No framing, no business case: what an hour costs, and what AI may and may not do.
We collect the time sinks and map the work into measurable steps.
Top opportunities · the number is the team's votes
Time sinks
AI opportunities
Frustrations
Process map · Quote process
Per step we decide what AI does, where a human stays in control, and what you do yourself or have built.
Classification
Draft the quote
Human in the loopToo little data or examples
Read invoice data
AI assisted human
Classify the customer question
Human in the loop
Contract review
AI assisted human
If data or examples are missing, confidence never goes above 40%. Foundation first, then the build.
Build layers
We pick quick wins and translate opportunities into savings, investment and a roadmap.
Prioritisation
The expected scenario leads, never the best case.
Business case
Savings per year
EUR 148,000
First-year investment
EUR 79,500
Payback time
6.4 months
Worked example with the Standard package. Your own numbers take shape live in the session.
AI Future Plan
Quick wins
0 to 3 months
Build
3 to 9 months
Strategic
9 months and beyond
This is the method behind the Kickoff Phase and the AI Design session.
Not because we cannot do anything else, but because we have built the most here and therefore get to a result fastest.
The knowledge to write a grant application or advisory report sits in two heads.
We capture that knowledge with hundreds of examples of earlier work, and generate documents in your own standard.
90%fewer data entry errors
Something arrives by email or form and someone retypes it into another system.
The incoming flow gets read, filtered and placed in your own systems. A human approves.
192 hoursback per month at Van Berkel Professionals
High volumes, questions that keep returning, and the hard cases go to that one person.
Recurring questions get handled. If the AI cannot, a human answers and that answer goes into the database. Next time it happens automatically.
45%fewer support tickets
Salesvoorstel schrijven
4 → 1 uur per voorstel
Factuurverwerking
14 → 2 uur per week
Aanvragen verwerken
48 → 4 uur per week
Cijfers uit klantprojecten: Van Berkel Professionals, Wens Chalets en interne workflows.
The three questions every board asks, before the business case even comes up.
We do not build a single workflow that is purely AI. At minimum a human as the final check. The automation removes the looking up and retyping, not the craft.
Own infrastructure, servers in Amsterdam, fully GDPR-compliant and compatible with ISO 27001 and NEN 7510. Optionally Azure OpenAI for extra safeguards.
Everything runs in your own environment and stays yours. If the partnership ends, you can carry on independently.
The way you have an accountant and an IT partner, that is how we have set up AI. One familiar face, fixed capacity per month, and someone who already knows your business when you call.
An audit of your organization: where does the work pile up, what is solving it worth, in what order. Then we build.
A day on-site through your processes, plus a workshop with your core team. You get a prioritized list of what each bottleneck costs.
Capacity every month to work down that list, from the top.
What works for one team, we roll out to the rest.
Your own people take it over. The goal is an organization that can do it itself.
EUR 7,500
3 weeks. A full day of on-site process analysis, core team workshop, n8n environment, roadmap with business cases and a baseline of your AI maturity. Mandatory with Standard and Enterprise.
EUR 3,750
2 weeks. Core team workshop with the AI Readiness as the end product, n8n environment and roadmap. No separate scan days. Mandatory with Light.
After that we work on a yearly basis. Developing an organization takes a year, and one workshop is not a workshop.
So the rhythm is set before the year starts. Target: from the baseline to 4 out of 5 AI maturity within twelve months.
Five milestones in twelve months
Month 1
Foundation
Month 3
Workshop
Month 6
Half-year review
Month 9
Follow-up workshop
Month 12
Next year's roadmap
Would you rather work per project? That is possible too. Just say so and we will do it that way.
What it costs
You are not buying hours, you are buying tokens: a fixed number per month, to spend month after month wherever it pays off most. All amounts exclude VAT.
One team, one quick win at a time
13tokens per month
EUR 3,900 per month, excl. VAT
EUR 46,800 per year
Kickoff Phase one-off EUR 3,750, 2 weeks
Several tracks at once: building and bringing the team along
20tokens per month
EUR 6,000 per month, excl. VAT
EUR 72,000 per year
Kickoff Phase one-off EUR 7,500, 3 weeks
Organization-wide acceleration program, dedicated team
40tokens per month
EUR 12,000 per month, excl. VAT
EUR 144,000 per year
Custom Kickoff Phase, from EUR 7,500
Developer half day
4 hours of building
Developer day
A full day of building
Consultancy day
Analysis, choices, direction
Strategy day with an AI expert
AI direction, roadmap and priorities
Talk
Bring your whole organization along
Workshop, half day
Your team learns to work with AI hands-on
AI Design session
From opportunity to concrete design
Hosting, monitoring, support and quarterly review
Keeps running, always included
Hosting, monitoring, support and the quarterly review cost 0 tokens. Your stack goes entirely to progress.
What 20 tokens look like in practice, different every month
Build month
e.g. month 1: MD assistant
16 + 4 = 20
4 × developer day
2 × half day
Adoption month
e.g. month 3: relay starts
14 + 5 = 19, 1 rolls over
n8n workshop
consultancy day
rolls over
Strategy month
e.g. month 6: half-year review
9 + 8 + 2 = 19, 1 rolls over
strategy day with an AI expert
2 × developer day
half day
rolls over
Whatever that month calls for decides where the tokens go.
Only for something already scheduled. That way Light saves 13 plus 13 for an AI Design session that costs 16.
EUR 300 per token, fixed rate. No negotiating.
Every month your token balance plus the plan for two months.
Custom is the right call when you need to connect systems that know nothing about each other, your knowledge is too valuable for a SaaS platform, or you tried a SaaS product that does not do what you need.
What is coming up for you over the next year?
How have you seen AI change over the past year?
Answer that second question honestly and you know why a year is short.
What is going on, and where the bottlenecks in your processes sit.
Prioritized list and business case: what it costs, what it delivers.
In which we decide. Yes or no, not a six-week process.
Rather see the results first? Read the client cases
