The idea shown, not described
Architecture in plain notation, a cost model per AWS service at pilot and at production volume, and a small sample of your real data run through the service that would do the work.
- AI Concept Workshop
- €5,000 incl. 3 results
- Your AWS account or a sandbox
- English or German
Three decisions, taken once, written down
Concept answers the questions that get expensive if you guess: which layer of the stack you actually run, which services do the work, and what it costs per month when real volume arrives.
The layer decision is the one that compounds. A managed service is cheaper to start and more constrained later; your own model is the reverse[6]. Getting this wrong is not fatal at Concept and is very hard to undo two rungs up.
Cost is modelled per service in the AWS Pricing Calculator[2] using the published model prices[3], at pilot volume and at the volume the business actually expects. Larger decisions are written as short architecture decision records[9], so the reasoning survives the people.
Three written results
The AI Concept Workshop is €5,000: one workshop with your engineers and the data owner, plus three written results.
Architecture per use caseIncluded
Services, data flows, boundaries and who operates what, in notation your team can read without a legend.
Cost model per serviceIncluded
Monthly cost per AWS service at pilot and at production volume, built in the pricing calculator rather than estimated.
Data test notesIncluded
A small sample of your real data through the chosen service, with what worked, what failed and where the limits are.
Production roadmapOptional
What it would take to run this properly: security, operations, scaling.
Funding caseOptional
The results written up for an AWS proof-of-concept funding request.
The AWS services behind this work.
Plain-language notes on the services I use for this kind of project. Each name links to the official AWS documentation.
Amazon Bedrock
Managed access to foundation models from several providers through one API. You choose the model and write the prompt; AWS runs the model.
Amazon Bedrock Knowledge Bases
Retrieval-augmented generation: your documents are chunked, embedded and stored in a vector store, and the relevant parts go into the prompt.
Amazon Textract
Reads text, forms and tables from scanned documents and returns them as structured data.
Amazon S3
Object storage for raw files, documents, training data and results.
AWS Pricing Calculator
Builds a cost estimate per service before anything is deployed.
Concept is where stopping is cheapest
If the cost model says the economics do not work, or the data test says the documents are too messy, you have learned that for the price of one workshop rather than one project.
If it holds up, the next rung is a cloud demo: the same architecture, built small, running where people can click it.
Ideas
Who needs this most?
The idea said out loud, and who it is actually for. Out: a shortlist
Free 30-min callClarity
Is the idea clear?
Written so anyone in the room can repeat it back without you. Out: one page
Concept
Is it technically working?
The idea shown, not described: data, layer and approach chosen. Out: a concept
Cloud demo
Does it survive contact?
Something real to click, running in the cloud. Out: a demo you can try
2–24 hoursMVP / 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 monthsFunctional 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.
The full ladder. Every rung answers one question and leaves something people can look at or try. Each stage links to its own page.Source: Linda Mohamed, AI Use Cases Workshop deck, 2026
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.
- AWS Well-Architected Framework
- AWS Pricing Calculator
- AWS: Amazon Bedrock pricing
- ai-solutions.wiki: From AI proof of concept to production
- ai-solutions.wiki: Total cost of ownership for AI
- ai-solutions.wiki: Build vs buy for AI
- ai-solutions.wiki: AWS funding for proofs of concept
- Regulation (EU) 2024/1689, the EU AI Act
- Documenting architecture decisions (ADR), Michael Nygard
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.
- Whether your use case is ready for Concept
- Which layer decision you are facing
- What data you would need to share
- Whether AWS funding could apply
Vienna, Austria · remote across Europe · [email protected]
