AI automation · Documents, media, agents

Automation that keeps a person at the point it matters

Document processing, media pipelines and agent workflows on AWS, designed with retries, audit trails and approval steps from the start. Start with one workshop that maps your process and prices the automation.

  • Workshop €2,000
  • €1,000 per result
  • AWS Step Functions and Bedrock
  • English or German
From pilot to process

Automation breaks at the edges, where the demo never goes

The happy path is easy to automate. The value sits in the documents that do not match, the clip without audio, the request that needs a person to approve it. Those edges decide whether an automation runs for years or is switched off after a month.

I design workflows as explicit state machines[1]: each step visible, retried when it fails, and routed to a person when the model is unsure. AI services do the reading, listening and deciding; the workflow keeps the record.

Every automated decision should leave a record a person can check.
Five steps: ingest, analyse, decide, render, publish.
The five-step pattern behind most AI automation: ingest, analyse, decide, render, publish. Swap the services and it fits documents, audio, video or logs.Source: Linda Mohamed, AI video pipeline architecture, 2026
Three kinds of automation

Documents, media, agents

Documents

Intake to decision

Forms, contracts and invoices read with Amazon Textract[3] or Bedrock Data Automation[2], checked against rules, routed for approval.

Media

Footage to finished content

Transcription with custom vocabularies[5], scene detection, AI briefs and rendering for each channel[6][7].

Agents

Requests to actions

Agent crews on Amazon Bedrock AgentCore[4] that call your tools with narrow permissions and ask before anything irreversible.

Written results

What the automation workshop delivers

€2,000 for the workshop, €1,000 per written result. The standard package includes the first two.

1

Process map with automation candidatesIncluded

Your process step by step, with the steps worth automating, the edge cases and the expected savings.

2

Architecture and cost per workflowIncluded

AWS services, state machine outline and monthly cost at your volume.

3

Human-in-the-loop and audit designOptional

Where people approve, how uncertain results are routed, and what is logged.

4

Prototype backlogOptional

The first build, split into steps your team or a partner can pick up.

Price

Map it, price it, then build

Net prices, plus VAT. Online booking for a 60-minute consulting session and the workshop series is below.

AI automation workshop

Intake, one workshop with the process owners, written results 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
€1,000
Your package
€4,000


Delivered within 5 business days after the last session.

Book a free 30-min Idea Call15-min question slot
Use cases

Real patterns, documented in the open.

Each link opens a write-up on ai-solutions.wiki, the open engineering reference I maintain. Architecture, services and trade-offs are explained there in full.

AWS services

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.

AWS Step Functions

Workflow engine that runs steps in order or in parallel, with retries and waits, and shows every run.

AWS Lambda

Runs small pieces of code on demand without servers to manage. You pay per request and duration.

Amazon EventBridge

Routes events between services and schedules jobs.

Amazon Textract

Reads text, forms and tables from scanned documents and returns them as structured data.

Amazon Bedrock Data Automation

Extracts structured output from documents, images, audio and video with one managed call.

Amazon Transcribe

Speech to text with word timings, speaker labels and custom vocabularies.

AWS Elemental MediaConvert

File-based video transcoding into the formats and aspect ratios each channel needs.

Amazon Bedrock AgentCore

Runtime, memory, identity and tool gateway for AI agents built with any framework, such as Strands or CrewAI.

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.

What does the automation workshop cost?

€2,000 for the workshop plus €1,000 per written result. With process map and architecture it is €4,000 net.

Which processes are good candidates?

High-volume, rule-heavy work with documents, audio, video or tickets, where mistakes can be caught by a person or a rule.

Do you build the automation too?

Yes, as a prototype after the workshop, or with your team or a delivery partner. The prototype backlog result prepares that.

Is the video pipeline available?

Yes, as a customer project set up for your media workflow. It will be published as open source later.

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

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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.

  • Which process to automate first
  • Where people must stay in the loop
  • What it costs to run
  • Whether AWS funding could apply

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

Consulting Offers

1:1 Consulting Session

1:1 Consulting Session One (1) 60-minute 1:1 consulting session Focused on AI, automation, cloud architecture, or related strategic and technical topics The session is advisory and exploratory in nature and tailored to the information provided by the client

€350,00 EUR

AI Solution Workshop Series

The Promise: Move your organization from “we want AI” to a decision-ready prototype in under a month. No months of back-and-forth. What You Walk Away With: Decision-Ready Outputs — Prioritized shortlist of highest-value use cases Engineering Blueprint — Technical designs mapped to AWS services with realistic infrastructure cost estimates The Reality Check — A functional, demo-ready software prototype evaluated live by your team The Path Forward — Phased implementation roadmap from prototype to production The Sequence — 3 Weeks, 3 Workshops, 1 Working Prototype: Week 1 — Goal Workshop (2 hours): Map ambitions to concrete business problems. Score by business value and technical feasibility. Output: Prioritized AI use case shortlist. Week 2 — Concept Workshop (2 hours): Technical deep-dive. Design architecture, select AWS services. Output: AWS service mapping and infrastructure cost estimates. Week 3 — Decision Workshop (2 hours): Live evaluation of the functional build. Output: Working prototype, implementation roadmap, and Go/No-Go decision. Format: 3 sessions across 3 weeks. €2,000 per session. Remote or on-site (Vienna/EU). Outcome: A working prototype, an engineering blueprint, and a decision — all in under a month. Engineering-grade output, not slideware. Facilitated by Linda Mohamed — AWS Community Hero. AWS funding (up to €10,000 PoC, up to €400,000 Migration) assessed during the free Idea Call. 🤍

3 monthly payments of €2.000,00 EUR

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