Day 0 · Free Idea Call

Thirty minutes to find out whether a workshop is worth it

Bring one idea, one problem or one half-finished prototype. I tell you what I would do next, which workshop fits, and where I think it gets expensive. If the honest answer is that you do not need me yet, you get that too.

  • Free
  • 30 minutes
  • Remote
  • English or German
What this call is

What actually happens in the half hour

Most people book this call with one of three situations: a list of AI ideas and no way to rank them, one idea that a team already started and wants a second opinion on, or a platform question such as whether to stay with managed services or run models themselves.

I ask about the problem, the data, who has to agree, and the constraints that are not negotiable. You get my read on where the risk sits and what the first useful step is. Nothing is recorded, and nothing leaves the call.

If you only have one narrow question, book the 15-minute slot instead. Same rule: an answer, not a sales script.

Half of these calls end with a concrete next step that costs nothing: a dataset to check, a person to involve, or a smaller question to answer first.
01

An idea

Is there something here?

A sentence anyone can say out loud. No architecture yet, and no budget.

Free 30-min call
02

A scored use case

Which one first?

The shortlist, scored on value and on effort, with the reason written down. Out: a ranked list

03

A concept

What would it cost?

Architecture, the layer decision, and a cost model per service. Out: a price you can take to finance

04

A prototype

Does it work on our data?

Built on your real data, with the awkward records included. Out: measured results

05

A decision

Go, stop or narrow?

Written down with what would change the answer. Stopping here is a good outcome.

Decision point
06

Production

Who runs it?

Built properly, operated, and owned by a named team. Out: a running service

Each rung ends with a decision, and stopping early is a valid one. Most of the money lost on AI projects is spent after the rung where someone should have stopped.

Where the call puts you on the ladder. Each rung ends with a decision, and stopping early is a valid one.Source: Linda Mohamed, AI Use Cases Workshop deck, 2026

What you get

In half an hour, four answers

1

Is the idea buildable?

A plain read on feasibility with today's AWS services, and what would have to be true about your data[1].

2

What is the right first step?

Discovery, a concept workshop, an architecture review, a prototype, or nothing yet.

3

What will it roughly cost?

The order of magnitude for the workshop and for the running system, so you can talk to your sponsor[3].

4

Could AWS funding apply?

Many proofs of concept and migrations qualify. What applies depends on the project, the programme and the AWS account team[2].

Where the call fits

Step zero of a longer path

The call is the first rung. Nothing after it is booked until you want it.

01

Ideas

Who needs this most?

The idea said out loud, and who it is actually for. Out: a shortlist

Free 30-min call
02

Clarity

Is the idea clear?

Written so anyone in the room can repeat it back without you. Out: one page

03

Concept

Is it technically working?

The idea shown, not described: data, layer and approach chosen. Out: a concept

04

Cloud demo

Does it survive contact?

Something real to click, running in the cloud. Out: a demo you can try

2–24 hours
05

MVP / POC

Do users adopt it?

First public customers on a real user journey, built with your team or a partner. Out: measured use

1–3 months
06

Functional product

Ready to scale?

Market-ready, scaled and operated, with someone on call. Out: a product

3–12 months+

Ideas found on the way get parked. They stay in the discussion and out of the build, so the current step keeps its scope and nothing is quietly forgotten.

Every step answers one question and produces something you can look at or try. The call on the left costs nothing and decides whether any of the rest is worth doing.Source: Linda Mohamed, AI Use Cases Workshop deck, 2026

Deck slide: results step by step, from a free idea call through clarity, concept and cloud demo to MVP and a market-ready solution
The same ladder as it appears in my deck. Ideas found on the way are parked as out of scope and kept in the discussion, so the step you are on keeps its shape.Source: Linda Mohamed, AI Use Cases Workshop deck, 2026
Deck slide: next steps, from the initial alignment call through a discovery workshop, a concept and prototype workshop, and an ROI and MVP roadmap
What follows the call, if you want it to. Step zero is the call itself; the rest is chosen and scoped in it, and a POC or MVP sits outside the workshop packages.Source: Linda Mohamed, AI Use Cases Workshop deck, 2026
How to prepare

Ten minutes of preparation is enough

Nothing formal. These three things make the call sharper.

1

The problem in one sentence

Who has it, how often, and what it costs today. A screenshot of the current process beats a strategy document.

2

What data exists

Where it lives, who owns it, and whether it may leave the building. This decides more architectures than any model choice.

3

Who has to agree

The person who owns the budget and the person who owns the system. If they are different people, say so.

Questions

What people ask before booking.

Is the call really free?

Yes. Thirty minutes, no invoice, no obligation. I use it to see whether I can help, and you use it to see whether you want to work with me.

What if I only have a small question?

Book the 15-minute slot. It is meant for one question, for example which AWS service fits or whether a plan is realistic.

Do you sign an NDA?

Yes, if your company needs one before the call. Send it in advance and I sign it.

What happens after the call?

You get a short written summary with the suggested next step. If a workshop makes sense, you get a scope and a fixed price. If not, you get that in writing too.

Which topics are in scope?

AI use cases and architectures on AWS, agents, hybrid and on-premises setups, cloud migration and modernization, and workshops or talks for your team.

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 →

Sources

Where the facts come from.

Prices, service names and limits change. The linked official pages are the reference; figures on this page were checked in September 2026.

  1. ai-solutions.wiki: From AI proof of concept to production
  2. ai-solutions.wiki: AWS funding for proofs of concept
  3. AWS Well-Architected Framework
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Start here

Book the Idea Call

30 minutes, free, remote. Or 15 minutes if you only have one question.

  • Your idea or problem
  • Which workshop fits
  • Rough cost and timeline
  • Whether AWS funding could apply

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