We want to start, but stay safe & compliant
AI Act, GDPR, data and vendors: what's allowed, what's wise, and how do we set it up?
Ask your AI question • Experience since 2022
Make Artificial Intelligence practical and valuable for your organisation
AI creates opportunities — but only delivers value when it fits your goals, context and people. Get control of AI in your organisation with tailored support for AI readiness, selection, evaluation, validation, implementation, governance, monitoring and AI literacy.
What you get
- Tailored support: from AI readiness and validation to implementation and monitoring.
- Practical governance and compliance support (AI Act / GDPR) that your teams can actually use.
- People-first: AI should fit your work — not the other way around.
From question to rollout
AI readiness • Validation • Implementation • Monitoring
AI readiness
Clarify goals, context and conditions
Validation
Test quality, risk and practical fit
Implementation
Embed in processes, roles and ways of working
Monitoring
Measure, safeguard and improve in practice
Step 1
Readiness
Step 2
Selection & validation
Step 3
Implementation
Step 4
Monitoring
Risk control
Team adoption
Measurable progress
If this sounds familiar, you're not alone.
You want to use AI — but with control. These are situations I often see when teams want to “do something with AI” and now want to do it properly, safely and sustainably.
Book an intake call
30 minutes. You'll leave with clarity and concrete next steps.
There are tools, but no clear choices
Which options deliver value, which create risk, and how do we choose objectively?
We're stuck in pilots
Moving from demo to production requires governance, ownership, processes and monitoring.
Teams don't adopt it (or use it incorrectly)
Adoption needs training, clear rules, examples, prompts and guidance — not just tooling.
We want impact — and peace of mind
Speed and control can coexist with clear agreements, safe data choices and realistic steps.
We lack ownership and governance
Who decides, who manages, who monitors? Without this, AI remains “owned by nobody”.
Services
Tailored support — from AI readiness and selection to implementation, governance, monitoring and AI literacy. We choose what fits your goals, risk profile and context.
AI readiness & roadmap
Map your starting point, goals and conditions, then translate this into a realistic AI roadmap.
Selection & evaluation, AI validation
Assess and validate solutions on value, quality, risk, compliance and organisational fit.
Implementation & governance
From pilot to practice: processes, roles, policy, adoption and safeguards that actually work for your team.
Monitoring & AI literacy
Stay in control: measure, improve and help teams use AI safely and effectively.
Approach
Clear, pragmatic and people-first — so AI truly fits your organisation. We work in manageable steps, with attention to safety, governance and adoption.
1
Intake & scope
Clarify goals, context, stakeholders and risks — so the next step is obvious.
2
Selection & evaluation
Criteria, data, vendors and impact — aligned with your processes and compliance needs.
3
Implementation & adoption
Embed in workflows with roles, agreements and training — from “pilot” to “works”.
4
Monitoring & safeguards
Measure, improve, document and maintain control over performance and risks.
Knowledge
Clear explanations and practical guidance on AI in real life — from compliance and governance to adoption and prompt examples.
AI Act & GDPR in plain language
What does it mean for your organisation, processes and vendor choices?
From prompt to work instruction
Create rules, examples and safe boundaries so teams use AI correctly.
Choosing well: tool selection
What matters most: value, quality, data, vendor risk and manageability.
Staying in control with monitoring
Avoid “forgotten AI”: measure, adjust and assign responsibilities.
Irene de Bruin
Founder • AISS (Artificial Intelligence Strategies & Support)
About AISS
AISS supports organisations in using AI in a safe, practical and people-first way. Since 2022, I've helped teams select, evaluate, validate, implement and embed AI — and increase AI literacy — so your organisation becomes more self-reliant with ongoing AI developments.
- People-first: AI should fit your work and context.
- Clear and concrete: steps, decisions and deliverables are explicit.
- Build self-reliance: avoid dependency — learn, embed and maintain control.
Company details
- BusinessAISS
- Legal formSole proprietorship
- Chamber of Commerce98479415
- VATNL005333312B36
- AddressVan Maerlantlaan 37, 9752JV Haren (GN)
- Email [email protected]
- Phone +31 6 21942125
- LinkedIn Irene de Bruin
FAQ
Short and clear — so you know what to expect.
Do you help with the AI Act / GDPR?
Yes. I translate compliance requirements into practical choices: data usage, vendors, governance, documentation and team guidelines.
Are you tool-agnostic?
Yes. We start from goals and context, then compare options on value, risk, integration and maintainability.
How quickly can we see results?
Often within a few weeks: clearer choices, a roadmap and concrete steps for implementation or adoption.
Timing depends on scope, teams involved and dependencies.
Do you also provide training?
Yes. From basic AI literacy to hands-on training with prompts, guidelines, policies and role-based examples.
What does an engagement cost?
On request — because it depends on scope, stakeholders and desired deliverables.
In the intake call we clarify the scope and approach.
Do you work internationally?
Yes. Internationally possible, with a focus on Europe (EU, UK, Scandinavia).
Ask your AI question
Book an intake call or contact me directly. You'll get clarity on the best next step for your situation.