Four workshops, and what each one leaves behind
For teams done with slide decks. Each workshop forces one decision and leaves a written result your engineers can build from. Three sessions take you from a list of ideas to a funded prototype.
- €2,000 per workshop
- €1,000 per written result
- AWS funding checked
- Vienna · remote
Which workshop fits you?
Answer two questions and get a recommended starting point. Or skip to the list of workshops below.
Which workshop fits?
Two questions. The recommendation appears below.
1. Where are you today?
2. What is the main constraint?
Wrapper trap or prototype strategy
Most AI engagements stall because they treat AI as a buying decision, not an engineering one.
| The wrapper trap | The prototype strategy | |
|---|---|---|
| Output | Reports and slide decks | Working software and a written architecture |
| Timeline | Months of strategy, then a pilot nobody can repeat | About a month to a go or stop decision |
| Architecture | A generic SaaS wrapper at premium prices | Foundation models via API, your data through RAG, agents where they pay off |
| Outcome | Nothing competitors cannot buy too | An architecture you own and your team can extend |
Buy the commodity layers, build the part that makes you different. The build vs buy write-up on ai-solutions.wiki explains the trade-off in detail[5].
Five stages, each one earned
Every stage needs evidence from the one before. The workshops cover the first three; the MVP is built with your team or a delivery partner.
People understand the idea and agree it matters.
People believe it: architecture and cost on paper.
People can try it on real data.
People use it, often with AWS funding.
People rely on it and it pays for itself.
What the workshops look like from the inside
These are the slides I use when I explain the offer to a customer. Same order, same wording, nothing rewritten for the website.
Discovery workshop
The use cases, the users behind them, and a shortlist scored on value and effort.
Concept workshop
The top candidate becomes an architecture with a layer decision and a cost model.
Prototype workshop
Built on your own data, evaluated before anyone decides anything.
After the three steps: MVP development and scaling with your team or an implementation partner. Each workshop runs one to four hours, and you can book a single step on its own.
The offer in one picture: Goal, Concept, Decision, one to four hours each, with MVP development and scaling as separate work afterwards.Source: Linda Mohamed, AI Use Cases Workshop deck, 2026
Discovery
Use cases, users and a scored shortlist. The disagreement in the room is the useful part.
Concept
Architecture sketches, effort, data access and the gaps nobody had written down.
Prototype
Built and evaluated on your data. After this the work moves to your engineers or a partner.
First functional version
An MVP with real users on it, built by your team or an implementation partner.
Market-ready solution
Scaled, operated and owned. The point the ladder was climbing towards.
What happens in each workshop, and where the line sits between my work and your team’s: after the third session, delivery moves to your engineers or an implementation partner.Source: Linda Mohamed, AI Use Cases Workshop deck, 2026
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 same path as a staircase. Each step answers one question, from “is the idea clear?” to “do users adopt it?”, and it starts with the free 30-minute call.Source: Linda Mohamed, AI Use Cases Workshop deck, 2026
Three workshops that end with one funded prototype
Goal, Concept, Decision. Sessions run one to four weeks apart, or in one long day. Each ends with a result you keep, even if you stop.
Goal
Business problems, candidate use cases, scoring. Result: the scored use-case shortlist.
Concept
Architecture per surviving use case, priced per AWS service, tested on real data. Result: architecture and cost model.
Decision
ROI, MVP scope and the funding case. Result: decision and funding case, ready to file.
Goal
The goal, the users and the scored shortlist.
Concept
Architecture and cost for the top candidate.
Decision
Go, stop or narrow, with the evidence behind it.
Funded proof of concept
Built on real data, often with cloud funding behind it.
Or all in one day. The gaps exist so your people can go and check things between sessions. Where that is not needed, the three sessions run back to back.
Pacing: one to four weeks between sessions, or one day. Stopping early is a good outcome.Source: Linda Mohamed, Partner Enablement 2026
The six results across the series and the prototype phase.Source: Linda Mohamed, Partner Enablement 2026
Choose where to start
One pricing rule for every workshop: €2,000 per workshop and €1,000 per written result. Net prices, plus VAT. Not sure? The free 30-minute Idea Call is made for exactly that question.
Goal, Concept, Decision series
From a list of ideas to a decision with architecture, cost model and funding case.
AI Discovery Workshop
Collect and score use cases on value, feasibility, data and funding.
AI Concept Workshop
Architecture per use case, cost per AWS service, tested against your data.
AI Prototype Workshop
A working prototype on your data, measured, with a go or stop decision.
AI Agent Systems
Multi-agent architecture on Amazon Bedrock AgentCore: prototype or review.
Agentic AI hands-on workshop
Developers build agents with Strands Agents, MCP and A2A on Amazon Bedrock.
AI Readiness Assessment
Free self-check, then a workshop and scorecard for leadership.
AI architecture layers review
Bedrock, SageMaker AI or OpenShift AI, cloud or hybrid, decided by constraint.
Agentic AI security assessment
Threat model plus EU AI Act and NIS2 mapping for your agents.
Larger programmes with several prototypes (4 workshops and more) follow the same rule and are scoped in the Idea Call. A single 60-minute expert session is available too; ask in the 15-minute slot.
Three projects, three different layers
The workshops do not assume one platform. These three reference projects from my lecture on AI architectures landed on different layers because their constraints were different.
Four things that break between a good idea and a project
Every one of them is fixable, and none of them is technical. This is the slide I open partner conversations with.
The patterns that actually show up in the room
Two slides from the deck: what each industry keeps asking for, and what every project so far has had in common regardless of industry.
Real patterns, documented in the open.
Use cases that come up in workshops, documented on ai-solutions.wiki with architecture and services. The wiki has more than 100 industry write-ups[8].
Intelligent Document Processing with AI
A practical architecture for extracting structured data from invoices, contracts, and forms: combining OCR, classification, and LLM-based extraction.
Read on ai-solutions.wiki →InsuranceAI for Insurance Claims Processing
Automated claims intake, fraud detection, and document extraction for insurance operations: from first notice of loss to payment authorization.
Read on ai-solutions.wiki →Customer supportBuilding Enterprise AI Chatbots That Actually Help
Practical guidance for building customer-facing AI chatbots that deliver real value: architecture, knowledge base design, escalation patterns, and quality measurement.
Read on ai-solutions.wiki →ManufacturingAI Visual Defect Detection for Manufacturing
Computer vision-based quality inspection that detects surface defects, dimensional deviations, and assembly errors at production line speed.
Read on ai-solutions.wiki →MediaAutomated Content Metadata and Tagging with AI
Auto-tagging video and audio content, scene classification, topic extraction, and SEO metadata generation for media libraries.
Read on ai-solutions.wiki →GeospatialGIS and AI Architecture on AWS
How to combine geospatial data processing (GeoPandas, Shapely, satellite imagery) with AI services (Bedrock, OpenSearch) for natural language queries and spatial intelligence.
Read on ai-solutions.wiki →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 Bedrock AgentCore
Runtime, memory, identity and tool gateway for AI agents built with any framework, such as Strands or CrewAI.
Amazon SageMaker AI
Managed platform for the whole machine learning lifecycle: notebooks, training jobs, model registry and endpoints.
Amazon Textract
Reads text, forms and tables from scanned documents and returns them as structured data.
Red Hat OpenShift Service on AWS (ROSA)
Managed OpenShift clusters in your AWS account. The base for running OpenShift AI next to other AWS services.
AWS Pricing Calculator
Builds a cost estimate per service before anything is deployed.
AWS Well-Architected Framework
AWS guidance for reviewing workloads on security, reliability, cost, performance, operations and sustainability.
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
For a prototype on AWS with a clear path to production.
Migration
For larger cloud moves, planned in phases.
What people ask before booking.
How much does an AI workshop cost?
€2,000 per workshop (3 to 4 hours) plus €1,000 per written result. A Discovery Workshop with two results is €4,000; the full Goal, Concept, Decision series is €9,000. Prices are net, plus VAT.
What counts as a written result?
A document or artefact your team can act on: a scored shortlist, an architecture with cost model, a funding case, a readiness scorecard, a prototype repository. You choose which ones you need.
Do the workshops only work with AWS?
The method is vendor-neutral. I build on AWS and on hybrid platforms with Red Hat OpenShift AI, so the architecture results name concrete services and costs.
Remote or on-site?
Both. On-site in Vienna or elsewhere in Europe (travel at cost), or remote. English or German.
Can AWS funding cover the work?
Some proofs of concept and migrations qualify for AWS partner funding. It depends on the project and the AWS account team; I check it in the free Idea Call.
How fast can we start?
Usually within two to three weeks after the Idea Call. The intake form before the first workshop takes about 20 minutes.
Linda Mohamed
I design and build AI and cloud systems on AWS and hybrid platforms, and I teach how they work. AWS Community Hero, organiser of the AWS User Group Vienna for more than seven years, lecturer on AI architectures at Hochschule Burgenland, speaker at AWS Community Days in Istanbul and Athens in 2026, and maintainer of ai-solutions.wiki. Based in Vienna. Remote or on-site, in English or German.
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: AI services overview
- AWS Pricing Calculator
- AWS Well-Architected Framework
- Red Hat OpenShift AI (self-managed) documentation
- ai-solutions.wiki: Build vs buy for AI
- ai-solutions.wiki: From AI proof of concept to production
- ai-solutions.wiki: AWS funding for proofs of concept
- ai-solutions.wiki: industry use cases
Book it right here.
All prices are net. Companies outside Austria pay no VAT and can book directly by card. Companies in Austria, please choose “Pay by invoice”: 20% VAT is added there.
AI Discovery Workshop
One session and two written results, starting with the scored use-case shortlist.
Buy now →Pay by invoiceAI Concept Workshop
One session and three written results, including the architecture blueprint and the AWS service mapping.
Buy now →Pay by invoiceAI Sprint Workshop
Sprint delivery with your team: working components built in short iterations.
Buy now →Pay by invoiceAdditional written result
Add a written result to any workshop. Choose the quantity at checkout.
Buy now →Pay by invoiceSingle session
Start smaller, when a workshop is more than you need
60 minutes live on your specific question, with a written pre-brief. Review an architecture that already exists, weigh up a vendor offer, or break a decision that has been stuck for weeks. You leave with a recommended next step. Net prices, VAT added for customers in Austria.
On your own
€350
You and me, 60 minutes live.
The brief comes in writing beforehand, so the hour belongs to the problem.
With your team
€500
The same session with your team in the room.
Worth it when several people have to carry the decision.
While a project is running, a session is €250. Send a quick note and you get the right link.
Video
How I explain things, before you book anything
Short explainers from my YouTube channel. The same way of explaining you get in the workshop itself.
The videos load from YouTube only once you click. Nothing is requested before that.
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.
- Which workshop fits where you are
- Which results you actually need
- Whether AWS funding could apply
- A date for the first session
Vienna, Austria · remote across Europe · [email protected]
