Selecting the right AI
Make well-founded choices: which AI fits your goals, risks and users? We look at assessment aspects, selection criteria, transparency, and what you should know before purchasing an AI tool.
Knowledge • Practical, human-centred, and applicable
Knowledge that helps you choose AI well, implement it smartly, and improve it continuously
AI offers opportunities, but only creates value when it fits your context, workflows and people. On this page you’ll find more information about what an AI consultant is and the themes AISS can support you with. This includes tailored handouts such as checklists, templates and infographics.
Looking for something specific? Get in touch: I support organisations across commercial, healthcare, public and technology contexts — from selection and evaluation to implementation, monitoring and AI literacy.
The Artificial Intelligence consultant
An AI consultant helps organisations apply AI and related technologies (such as machine learning and robotics) in a smart, safe and context-appropriate way — with focus on your goals, context and people.
What is an AI consultant
An AI consultant is a specialised consultant in the field of AI who supports a wide range of AI-related situations, questions and challenges. The goal is to help your organisation realise its potential by using AI and related technologies in the right way. That’s why an AI consultant is often seen as your strategic partner in the world of Artificial Intelligence.
The “linking pin” & bridge builder around AI
During an engagement, I keep oversight by connecting knowledge and expertise, and I help all stakeholders collaborate towards the intended outcome. This is essential to integrate AI successfully — both in workflows and in the organisational culture.
The knowledge areas
As an AI consultant, I work across multiple knowledge areas that matter for AI: the technical side, laws and regulation, and real-world application. A key part of the work is staying up to date and thinking ahead. This also helps translate “jargon” between different stakeholders.
Visual: knowledge areas that often come together in AI engagements (technology, regulation, application & adoption).
The themes
These are the topics AISS focuses on — because they are where organisations most often get stuck in practice: selecting the right AI, implementing AI, evaluation & monitoring, building AI literacy, AI governance, and AI readiness.
Implementing AI in workflows
From “pilot” to real usage: what preparations are needed, who should be involved, and how do you ensure AI fits day-to-day practice — now and long term?
Evaluation & monitoring
Stay in control of performance and risk: define KPIs, evaluate holistically (e.g., quality, safety, bias, adoption from all relevant perspectives) and monitor continuously so you can adjust in time.
Building AI literacy
Grow knowledge and skills across your organisation to use AI responsibly and stay future-ready — including readiness for regulation (EU AI Act and GDPR).
AI governance & compliance
Embed AI in policy and decision-making: agreements on ownership, transparency, privacy & security (especially the EU AI Act and GDPR). This makes AI manageable and helps prevent sanctions.
AI readiness
Get insight into whether your organisation is ready to use AI.
Short, targeted support for AI projects: tailored handouts
Self-reliance is crucial to use AI in a future-proof way. When your organisation is working on an AI project and gets stuck on specific parts (for example: setting up evaluation criteria for a certain type of AI), AISS can support you. Concrete, tailored handouts such as checklists, self-assessments and infographics can help you make decisions, track progress, and keep control of AI — instead of the other way around.
What you can expect
- Checklists for AI selection, preparation and go/no-go decision-making
- Templates for evaluation and monitoring frameworks (KPIs, agreements, cadence)
- Infographics / one-pagers to align stakeholders quickly
- Examples of governance agreements (roles, ownership, risks)
AI literacy (practical)
For AI literacy, AISS starts with insight (a baseline assessment) and translates that into training that fits your department, role and context. Where relevant, there is also support with:
- A tailored AI literacy self-assessment (for evaluation & ongoing monitoring)
- Slides and training materials for sessions
- An AI curriculum: programme, rationale and learning strategy
Need concrete handouts, but not the full service?
If you want support with a specific part of an AI project, AISS can help.
Frequently asked questions (Q&A)
Besides the services and other forms of support mentioned above, AISS can also be asked for other AI-related questions. Here are a few examples.
How do we choose the right AI (what should we look at)?
Start with the core problem and the intended user. Translate that into selection criteria (quality, safety, transparency, integration requirements, data, costs) and assess vendors/variants consistently. This helps avoid “tool-first” decisions.
Why does AI not work well after implementation?
Often the AI doesn’t fit workflows, ownership is unclear, or adoption is missing. Success requires preparation (processes, roles, data, training), clear agreements, and implementation shaped together with users.
How do we evaluate and monitor AI holistically?
Not only technical performance: also look at usage, workflow impact, risks, bias, safety and compliance. Use KPIs and a fixed evaluation cadence so you can spot drift or quality loss in time.
What is AI literacy and how do we build it?
AI literacy is the capability of teams to understand AI, use it responsibly, and recognise limitations. Start with a baseline assessment, make training role-based, and maintain the level through repetition and updates.
We bought an AI tool, but it doesn’t deliver the results we want. We don’t know where the problem is or how to fix it. Can AISS help?
Yes. Together with you and all relevant perspectives, I act as the “linking pin” to identify the root cause and the best solution options.
How do we embed GDPR and (where relevant) the EU AI Act in practice?
Define upfront what you process, why, who is responsible, and how you safeguard transparency and safety. Combine this with governance agreements, documentation and monitoring — so compliance is not a separate checklist, but part of the process.
Didn’t find what you were looking for?
You’re always welcome to reach out about what AISS can do for your specific situation. You can use the contact form on this website, and email or LinkedIn are also possible.