AI partner for organizations with 10 to 500 employees
From AI on the agenda to results on the shop floor
Most organizations get stuck at loose ChatGPT prompts. We train your team and build AI that actually does the work: secure, in your own environment.
Prefer to start small? Start with a keynote or workshop
- organizations helped
- 160+
- workshops and talks
- 100+
- AI specialists in-house
- 10+
- average session score
- 9.3
Trusted by
What we do
Knowledge, consulting and building. Under one roof.
Most firms do one of the three. We do them together, because AI only works when they connect.
AI Knowledge
Your team learns to work with AI
Talks, workshops and training, from ChatGPT and Copilot to your own assistants.
AI Consult
Know what AI delivers
One day on site, and within a week what AI is worth to you in hours and euros, with a twelve-month plan.
AI Implementation
AI that takes over the work
AI agents and automations in your own systems, built and maintained by our developers.
01 / Sound familiar?
Most organizations get stuck in phase one.
Everyone has tried ChatGPT. But a pilot is not yet a working organization. These are the six blockers we run into most often.
Pilot without follow-up
“The pilot was nice. On the shop floor, nothing changed.”
No direction
“We know we have to, but not where to start.”
No in-house expertise
“We don't have the knowledge, and it changes every week.”
No capacity
“IT and data already have their hands more than full.”
Lots of trying, few results
“Everyone prompts a bit, but the business doesn't notice.”
Afraid of falling behind
“The competition must be further ahead. Right?”
02 / Four phases of AI adoption
The value is in phases three and four.
Almost every organization is in phase one: loose prompts and individual gains. Only with workflows and agents does the work itself change.
Phase 01
Prompting
ChatGPT and Copilot. Handy, but the gains stay personal.
Phase 02
Assistants
AI assistants that know your documents and way of working.
Phase 03
Workflows
Automations that run without anyone pressing a button.
Phase 04
Agents
Digital colleagues that plan, execute and report. With a human in the loop.
03 / The AI Partnership
One dedicated AI partner.Twelve months.Measurable results.
For organizations with 10 to 500 employees that want to go beyond experimenting. You get three things you rarely find in one place.
Expertise
Up-to-date AI knowledge, but first understanding your processes.
Build capacity
Working workflows and agents, connected to your existing systems.
Knowledge transfer
Your team learns to work with AI, so you depend on us less and less.
The programme in twelve months
Checkpoints in month 1, 3, 6, 9 and 12Quick Scan
Month 1
One day on site, the outcome within a week: a baseline on seven dimensions, a business case per opportunity and a twelve-month roadmap.
Build
Month 2 to 4
The first applications go live. A workshop with your team in month 3.
Scale
Month 5 to 8
Roll-out to more teams and processes. Half-year review in month 6.
Embed
Month 9 to 12
Your own people take over. We close with the roadmap for year two.
04 / On the shop floor
This is where AI takes over work first.
Not a vision of the future, but work that gets stuck today. This is where we start most often.
Orders and waybills
Before
Retyped into the ERP or TMS.
With AI
Read in automatically and prepared.
Planning
Before
Dependent on the memory of one planner.
With AI
A proposal based on all the data. The planner decides.
Work preparation and costing
Before
Hours of calculation per project.
With AI
A first costing in minutes.
Reports and advice
Before
From blank document to report.
With AI
AI drafts it, the expert finishes it.
Purchase orders
Before
From email and PDF into the system by hand.
With AI
Straight into the system, ready for approval.
Knowledge retention
Before
Knowledge leaves with your most experienced colleague.
With AI
Captured in a searchable knowledge base.
05 / The APO method
Process first.Technology later.
APO stands for AI Process Optimisation: our own method to determine where AI really delivers, before a single line of code is written.
01
Where you stand
A baseline across seven dimensions. The lowest score is your starting point.
02
Processes in steps
Every process written out, with the time per step.
03
From manual work to AI
Per step: human, AI with a human check, or fully automated.
04
Priority and business case
Fast wins first, chosen on numbers instead of gut feeling.
Example: handling a quote
One process, five steps, three kinds of work.
40min per quote
- 4 minRead the email
- 10 minTake over the data
- 8 minCalculate the price
- 12 minDraft the quote
- 6 minCheck and send
Worked example · twelve months
Every euro in AI shouldbring back more than one.
In twelve months we tackle several processes: from customer service to fast wins and large projects. Together they make up the savings. In the AI Quick Scan we calculate it with your own numbers.
We calculate on the expected scenario, never the best case.
AI drafts the answer, an employee checks it
Processes
€ 81,600saved per year
Above the € 80,000 threshold: this is where a partnership pays off.
€ 60 per hour · 4 min saved per question
How AI-mature is your organization?
A free self-scan across seven dimensions, in two minutes. Your answers are not stored.
06 / Cases
What it delivers.
07 / Security
Secure, in your own environment.
AI that works with your data has to meet stricter requirements than a chatbot. These are our principles, in every programme.
EU hosting
On your own servers or on our platform in the EU, with a European provider.
GDPR-proof
Data agreements are fixed before we start building.
Working to ISO 27001 and NEN 7510
We work according to both standards. Certification is in preparation.
Azure OpenAI possible
The model that fits your requirements, also within Azure.
A human approves
No workflows that run without human control.
No lock-in
You own the IP and can carry on independently.
08 / NinA Benchmarks
Which model? We test that ourselves.
We build with the model that works best for each task, and measure that on work businesses actually do.
- 01The most expensive model is not always the best
- 02The winner differs per type of work
- 03Small differences? Look at the margins
09 / Free self-scan
Do step 1 of the APO method yourself.
Seven questions, two minutes. You immediately see where the biggest gains are.
Free AI self-scan
1 = nothing in place · 5 = fully sorted
Strategy and Vision
Is there a shared AI vision and a mandate at board level?
Data readiness
Is data central, structured and accessible?
Technology and Infrastructure
How easily do you connect new systems to existing ones?
People and Skills
Does the team know AI tools, and is there room to learn?
Processes and Adoption
Are processes documented and actively optimised?
Governance and Risk
Is there policy for AI use, privacy and security?
Culture and Change
Is there room to experiment, to fail and to learn?
3.0
your score
4.0
target · after 12 months
Start here
Strategy and Vision
your lowest score, so the biggest gain
You have loose pieces in place
Enough to start with, too little to build on. The gain is in tying together what is already there.
Free, no strings
Send us your profile and get an analysis back
- ✓Which of the seven dimensions we would tackle first, and why that one
- ✓Two examples of what that delivered at a comparable organisation
- ✓Whether a single workshop makes more sense here than a partnership, or the other way round
Your mail app opens with your seven scores in it, addressed to noud@nina-ai.nl. You send it yourself, so we store nothing until you hit send. Reply within 24 hours, from a human.
Rather look around first?
Indicative and not stored: we do not keep your answers. The real baseline we do on site in the AI Quick Scan, together with your team.
10 / About NinA
Small team. Seniors at the table.
“Don't let it drive you crazy. Start small.”
Olaf Lemmens
Founder
Janique Weijer-Gerrits Jans
Project manager
Pepijn Tiktak
Business developer
Nick Spapens
AI consultant
Noud Appelman
Sales manager
Senna Oortgijsen
Business development & events
Sergei Agaronian
AI developer
Wing Fung Lam
AI developer
Wolf Huiberts
AI developer
Marciano Hardjowikromo
AI developer
We're growingView the vacancies
What does an AI agency like NinA AI do?
We help organizations with AI in three ways: knowledge (talks, workshops, training), consulting (the AI Quick Scan and a roadmap) and building (AI agents and automations in your own systems). Our main product is the AI Partnership: a dedicated team for at least twelve months.
What does working with NinA AI cost?
A talk is € 2,950, a workshop € 4,500 per half day and the AI Quick Scan € 6,000. The AI Partnership is € 4,500, € 7,500 or € 12,000 per month, with at least 2x back in year one.
Is AI safe for our business data?
Yes, if you set it up properly. With us data stays in the EU, on your own servers or on our platform, we work to ISO 27001 and NEN 7510 and a human is always in the loop.
This is how we get started
01
Introduction
We talk: where does work get stuck, and what do you want to achieve?
02
Meet in person
We sit down together and look at where AI delivers the most for you.
03
The start
The AI Quick Scan: one day on site, a business case within a week. Or a keynote or workshop for your team first.