AI Readiness Assessment · Where to start

Eight questions, and an honest read on where you actually stand

Start with the free 2-minute self-check below. If the result needs a second opinion, the Readiness Workshop places your organisation on a four-level model and ends with a 90-day plan your leadership can agree on.

  • Free self-check
  • Workshop €3,000
  • For leadership teams of 3 to 8
  • English or German
Free self-check

Eight questions, one honest score

Answer for the organisation, not for the most advanced team. The result suggests the next step.

AI readiness self-check

8 questions, 2 minutes. Nothing is sent anywhere; the score is calculated in your browser.

1. Do you have a written list of AI use cases with an owner for each? (Use cases)

2. Can the data for your top use case be reached today, legally and technically? (Data)

3. Who would build and run an AI system? (People)

4. Where would it run? (Platform)

5. Are AI use, data classes and approvals written down? (Governance)

6. Have the people using AI had training on how it works and fails? (Literacy)

7. Do you measure the result of any AI work in money or time? (Value)

8. Is budget or funding for a proof of concept available? (Funding)

The wrong question

“Are we doing AI?” is not the right question

“Where do we stand, what would the next level need, and what blocks us?” is. The Readiness Workshop answers it with evidence across use cases, data, people, platform, governance and AI literacy.

AI literacy is no longer optional in the EU. Article 4 of the AI Act, as amended in 2026, asks providers and deployers of AI systems to take measures that support the AI literacy of their staff[1][2]. The assessment shows where that stands today.

It works on its own when leadership needs an investment decision, and it is the right first step when nobody agrees on the current state.

You leave with a defensible position on where you are, where the leverage sits, and what the next 90 days look like.
Who operates what

Readiness depends on how much you run yourself

A team that uses a ready-made AI service needs different skills than a team that runs its own model platform. The assessment checks readiness against the layer you are aiming for.

Table of six layers from consumer AI product to infrastructure, showing what you operate and what the provider operates at each layer.
Six layers from consumer AI product to your own infrastructure. Each step down means more that your team operates and more that can go wrong. The shared responsibility idea from AWS[4] applies to AI the same way.Source: Linda Mohamed, lecture “Von Managed zu Hybrid: KI-Architekturen”, Hochschule Burgenland, 2026
What you get

Where you sit, and what the next level needs

The workshop is €2,000. The readiness scorecard with the 90-day plan is the one written result, €1,000.

1

Readiness scorecard with 90-day planIncluded

Your level on each of the six areas, the evidence behind it, the blockers, and the first three moves with owners.

2

AI literacy planOptional

Who needs which training, in what order, to support AI literacy under Article 4 of the AI Act in a practical way.

3

Use-case shortlistOptional

If ideas come up in the session: a first scored list that feeds the Discovery workshop.

Price

One workshop, one scorecard

Net prices, plus VAT. Add optional results if you need them.

AI Readiness Workshop

Pre-session intake, a 3-hour workshop with your leadership team, the scorecard within 5 business days.

Workshop
€2,000 each, 3 to 4 hours, remote or on-site
1
Written results€1,000 per result
€1,000
€1,000
€1,000
Your package
€3,000


Delivered within 5 business days after the last session.

Book a free 30-min Idea Call15-min question slot
Free

Self-check

€08 questions on this page
Start the self-check →
Standard

Readiness Workshop

€3,0001 workshop + scorecard
Next step

Discovery Workshop

€4,0001 workshop + 2 results
See Discovery →
How it runs

Three stages, one workshop

For leadership teams of 3 to 8 people. Larger groups split into two sessions.

Stage 1

Calibration

The intake captures where you think you are. The session opens by testing that against the indicators.

Stage 2

Evidence

Use cases, data, people, platform, governance and literacy: we look at the evidence and score each area.

Stage 3

Next 90 days

The realistic next level, the blockers, the funding picture and the first three moves.

Funding

Check AWS funding before you pay.

Many AI proofs of concept and cloud migrations qualify for AWS funding: credits for the AWS usage and, in some partner programmes, funds for the delivery work. What applies depends on the project, the programme and the AWS account team. I check it in the Idea Call, and the workshop results are written so they can go straight into an application.

Proof of concept

Up to €10,000

For a prototype on AWS with a clear path to production.

Migration

Up to €400,000

For larger cloud moves, planned in phases.

How AWS funding for AI works →

Questions

What people ask before booking.

Is the self-check really free and anonymous?

Yes. It runs in your browser and sends nothing. If you want to discuss the result, book the free Idea Call.

What does the Readiness Workshop cost?

€2,000 for the workshop plus €1,000 for the readiness scorecard with the 90-day plan: €3,000 net. Optional results cost €1,000 each.

Does this cover the AI Act?

It checks AI literacy measures, which Article 4 of the AI Act asks for, and basic governance. It is not legal advice; for a compliance review see the AI governance page.

Who should attend?

3 to 8 people from leadership, IT, data and the business unit with the strongest AI interest.

What comes after?

Usually the Discovery Workshop, which turns ideas into a scored shortlist. If you are further along, the Concept workshop or an architecture review.

Six rungs, and two of them get skipped

FREE DECK

Six Rungs

From the first idea to something somebody operates. What each rung answers and what it hands you.

  • The ladder
  • Six chapters
  • A placement map
  • Two worksheets

49 pages. Large type, one idea per page, sources on every page. Double opt-in: you confirm by email first. Unsubscribe with one click.

Linda Mohamed, AWS Community Hero, AI and cloud architect in Vienna
Who runs it

Linda Mohamed

AWS Community HeroAWS User Group Vienna organiserLecturer, Hochschule BurgenlandAmazon Bedrock · SageMaker AI · OpenShift AIEN & DE

I design and build AI and cloud systems on AWS and hybrid platforms, and I teach how they work. I have organised the AWS User Group Vienna for more than seven years, co-organise AWS Community Day DACH, teach AI architectures at Hochschule Burgenland, speak at conferences in Europe and the US, and maintain ai-solutions.wiki. Based in Vienna. Remote or on-site, in English or German.

Projects, open source and talks →

Stay in the loop

Architecture notes, straight to your inbox.

New AI architecture write-ups, use cases added to ai-solutions.wiki, workshop dates and AWS community events in Vienna and online. Choose the topic you care about most.

  • Patterns and trade-offs from real AWS projects
  • Workshop and lab dates before they are announced
  • AWS User Group Vienna and Community Day events

Double opt-in: you confirm by email first. Unsubscribe with one click.

Start here

Start with one conversation.

30 minutes to look at your idea, your data and the right starting point. Or book 15 minutes if you only have a question.

  • Walk through your self-check result
  • Decide whether the workshop is needed
  • Pick the right participants
  • Check AWS funding for a first project

Vienna, Austria · remote across Europe · [email protected]