Key takeaways
Rasim Baybars was 62 when he started Turing College's AI for Business program. "I believe it's never too late to learn," he says.
His capstone project became Unfall-Hilfe, a digital intake system for German traffic accident cases, and he signed his first paying law firm client shortly after the program ended.
He now sells the system and a matching landing page to law firms for a flat, one-time fee, with no monthly cost for the client, and is building a branded reference project for a high-profile law firm in Stuttgart.
His three-year goal is 100 law firm clients and $1,000,000 in revenue, built entirely through referrals with zero ad spend.
Rasim Baybars has been teaching himself new technology since the early 1980s, back when most manuals were only in English and there was no one to ask. At 62, he says that habit never left him. It's also, he believes, the reason he could leave Turing College's AI for Business program and turn a class project into a paying product within weeks.
Twenty years of watching lawyers get it wrong
Rasim moved to Berlin decades ago, and his first client was a relocation lawyer who needed a website. She introduced him to her friends, took him to meetups, and by the time he enrolled at Turing College, he'd spent more than twenty years building sites for lawyers around the city. His challenge to skeptics: check the websites of the top ten lawyers in any city, and count how many still list a fax number. That history gave him something most first-time builders don't have: a specific, blunt opinion about his own future customers.
He estimates he's looked at close to 1,200 law firm websites over the years, and found the same pattern on almost all of them: a name-and-email form, no FAQ, and copy written about the lawyer instead of the client's problem. "It's not user-centric," he said. "It's lawyer-centric." That specific, decades-old irritation is what he set out to fix.
The question his capstone project forced him to answer
Rasim didn't come into the program needing to learn what a website was. What he needed to decide was harder: "Am I going to be an AI agency, or am I going to use AI in my business?" His business was web development. Our AI for Business program gave him the structure to answer that question and act on it. He chose to stay a web developer and use AI to do more of it, faster.
Before the program, he worked mostly in HTML, CSS and JavaScript and had never touched Python. He describes using AI throughout the build as "a development partner," writing detailed specification files so any AI model or agent could pick up exactly where the last session left off. That habit, more than any single skill, is what let him ship a full-stack Python and React product instead of another static site.
What he built: an intake form that asks about the problem before it asks for a name
The result was Unfall-Hilfe: an onboarding system for client acquisition for specialised lawyers and law firms, consisting of a client-oriented landing page, a help center for pre-qualification that answers most client questions in advance, and a step-by-step guide that helps clients answer most questions before a single phone call is even necessary. This digital client acquisition system for traffic law firms enables more qualified inquiries, less phone work, and structured case intake in just a few minutes. Lawyers and law firms save up to 90 minutes per accident case with this digital client intake system, which automatically and systematically captures information, photos, and documents.
The system structures the entire initial contact between accident victims and the law firm, from the first inquiry to a case file ready for a decision.
Landing page, multi-stage intake system, help center, automated document creation, and immediate client communication—all in one system.
This creates trust, especially among specialist lawyers who often have concerns about liability, data protection, hallucinations and professional responsibility when it comes to AI. The system automates processes and non-legal decisions.
Say you've just been in a car accident and need a lawyer. Instead of the usual name-and-email form, Unfall-Hilfe asks about the accident first, before it asks for your contact details, a deliberate order. It's a deliberate psychological sequence: once someone has already invested time describing their accident, Rasim says, they're more likely to want to see it through to the end, phone number included. Most clients get through the three-to-four-step form in under 90 seconds, upload photos and documents straight from their phone, and get an instant confirmation with legal guidance and a signable affidavit. The law firm gets a ready-made, machine-readable PDF within minutes, before a human has typed a reply.
He built it with no database on purpose. Form data lives only in a temporary file and the resulting email; once that email is deleted, the information is gone, a deliberate MVP decision he documents alongside "why no dashboard" in the bilingual Q&A he hands to prospects. The server is hosted in Germany, which matters to law firms asking about GDPR before they sign anything.
Old intake process vs the Unfall-Hilfe digital intake
Metric | Traditional lawyer intake | Unfall-Hilfe digital intake |
Time for client to submit a case | Phone call plus follow-up email, often days | Under 90 seconds |
Information captured up front | Name and phone number only | Accident date, location, description, photos, documents |
Availability | Office hours only | 24 hours a day, 7 days a week |
Photo and document handling | Mailed or dropped off later | Uploaded directly from the client's phone |
Data privacy | Stored indefinitely in the firm's system | Temporary files only, gone once the email is deleted |
Cost to the law firm | Custom web project quote, often ongoing | Flat one-time fee, no monthly cost in the current version |
The first client signed shortly after the program ended
Rasim built the first version during the program, then pitched it to lawyers he already knew once it wrapped. His first client signed soon after, and word of mouth carried it from there. He's now building a branded version of the system for a high-profile reference client in Stuttgart, whose law firm wants to become the region's top choice for accident cases.
Why 62 and "not technical enough" never felt like limits to him
Rasim was 62 when he built and sold this system, and he's direct about what he thinks mattered: not his age, but his willingness to keep relearning. He grew up in a migrant family with limited means. He ties that directly to how he works today.
"It's about being loyal and ethical, and really helping clients, not just taking their money," he says.
It's a question the team hears often from prospective learners in their late 40s and 50s: is it too late to learn AI? Rasim's answer, in one word: no.
What's next: 100 clients, a Stuttgart reference project, and a possible SaaS
Rasim's three-year target is 100 law firm clients and $1,000,000 in revenue. Every client so far has come through referrals, with zero spent on ads. The current version costs law firms a flat, one-time fee, with no monthly licensing-fees.
His roadmap starts with a multi-tenant backend: a login system where each law firm can add its own logo and email so the intake form matches their brand. From there, he plans deeper automation through n8n for firms that already run their own workflows. He's deliberately not building AI analysis into the product itself, since most law firms already use their own AI tools, so the system hands off a clean, machine-readable PDF they can drop straight into whatever system they already have. Those steps are what would turn the intake system into a subscription SaaS product, something he's already discussing with investors.
The backend, still in development, is built to expand past traffic accidents. Family law, employment disputes, and contract issues each need their own version of the form, and that's the direction Rasim's building toward.
He's candid that referrals alone won't carry this forever. Organic traffic is harder to come by than it used to be, and some of his longtime clients are retiring. That's part of why he's talking to investors, not just leaning on word of mouth.
How to start building an AI product today, in 6 steps
Here's how Rasim turned his Turing College capstone project into a paying product, and how you can apply the same approach to your own build.
Build for a problem you already understand, not one you've only researched. Rasim spent twenty-plus years building websites for Berlin lawyers before he applied AI to their intake process.
Map the real workflow before you build anything. Rasim reviewed close to 1,200 lawyer websites and found the same gap on almost all of them: no FAQ, and copy written about the business instead of the client's problem.
Decide what you're deliberately leaving out of version one. Rasim's own project notes list "why no dashboard" and "why no database" as intentional early decisions, not gaps he ran out of time for.
Document your reasoning as you work with AI, not just the output. Rasim wrote detailed notes as he built, so any AI model could pick up exactly where the last session left off, a habit that holds whether you're coding, writing, or running an analysis.
Sell to people you already know before you spend on ads. Rasim's first client and his Stuttgart reference project both came through his existing network. He's never bought an ad.
Prove the model before you complicate it. Rasim charged one flat fee per firm and didn't build recurring pricing until a real client had already signed.
Want to build something like this?
All three, AI for Business, AI Engineering, and Building with AI Agents, are eligible for Bildungsgutschein funding in Germany, and each one teaches AI skills for a different kind of work. See current programs and funding details →
Programme | |||
|---|---|---|---|
Who it’s for | Working professionals who want to boost their productivity and bring AI into everyday business decisions. | Experienced programmers and technical professionals ready to move into AI engineering roles. | Non-technical professionals, marketers, founders and product managers who want to build and ship real tools without writing code. |
What our learners built | Automated AI Players Behaviour Analyzer | Card Battle Auto-Balancer | Internal tool replacing Notion and Confluence |
FAQ
What is Turing College's AI for Business program?
Turing College's AI for Business program is a three-to-four-month program that teaches non-technical professionals to apply AI inside their existing business or industry, rather than training them as software engineers. It's one of three Turing College programs eligible for Bildungsgutschein funding in Germany.
Do you need a coding background to complete AI for Business?
No. 73% of learners on Turing College's AI for Business program come from non-STEM academic backgrounds, based on 2025 and 2026 group enrolment data. Rasim Baybars, whose capstone became the Unfall-Hilfe intake system, entered the program as a freelance web developer rather than a formally trained software engineer, and used the program to move from JavaScript-only frontend work into a full-stack build with Python and React.
What's an example of a capstone project from Turing College's AI for Business program?
One example: Rasim Baybars built a mobile-first digital intake system for German traffic accident cases. Clients answer structured questions about their accident, upload photos and documents directly from their phone, and receive an automatic confirmation email with legal guidance and a signable affidavit. The completed submission generates a machine-readable PDF the law firm can drop straight into its own systems. You can find more examples here: https://showcase.turingcollege.com/
Is the Unfall-Hilfe intake system available to other law firms?
Yes. Rasim Baybars sells the branded intake system and a matching landing page to individual law firms for a flat, one-time fee, with no ongoing monthly cost in the current version. He's building a branded reference project for a high-profile Stuttgart law firm, and is in talks with investors about turning the system into a subscription SaaS product for firms across Germany, Austria, and Switzerland. By Rasim's own estimate, a firm breaks even on the cost within its first year once the system brings in around 50 new mandates.
What is a Bildungsgutschein?
A Bildungsgutschein is a training voucher issued by Germany's Agentur für Arbeit that covers the cost of an AZAV-certified program for someone who needs new skills to find a job or change careers. Turing College is AZAV-certified, so the voucher can cover a Turing College program in full, with no tuition cost to the learner.
Does the Bildungsgutschein cover the AI for Business program Rasim Baybars completed?
Yes. AI for Business is one of three Turing College programs eligible for Bildungsgutschein funding in Germany, alongside AI Engineering and Building with AI Agents. The voucher-funded version runs full time, 30 hours a week on a fixed weekday schedule, for three months.
Self-paced | Bildungsgutschein-funded | |
Duration | Flexible, 3–4 months | 3 months, fixed |
Schedule | Self-paced, around 15+ hours a week | Full-time, 30 hours a week, fixed weekdays |
Cost | Fully covered by the voucher |
Who qualifies for a Bildungsgutschein?
Anyone living in Germany with official residency status, confirmed by an Anmeldebescheinigung, can apply, including non-German citizens. Approval mostly goes to people who are unemployed and receiving Arbeitslosengeld I or Bürgergeld, on reduced hours (Kurzarbeit), or facing job loss through a short-term contract ending within three months or a redundancy notice. Getting a voucher while still securely employed is uncommon.
How do you apply for a Bildungsgutschein?
Register with the Agentur für Arbeit, apply to a Turing College program and receive an offer, then book a consultation with your advisor. In that meeting, make the case for the program with a valid ID, proof of residency, an updated CV, and evidence of job demand for the skills, such as screenshots of relevant job postings. Once approved, Turing College helps finalize enrollment.
How long is a Bildungsgutschein valid once approved?
The voucher is typically valid for three months from approval, so enrolment needs to happen within that window to keep the funding. Turing College's team, reachable at study@turingcollege.com, helps learners time their application and enrolment so the voucher doesn't expire before the program starts.
I just lost my job. Can I get a Bildungsgutschein for Turing College right away?
Being unemployed and receiving Arbeitslosengeld I or Bürgergeld is one of the core qualifying situations for a Bildungsgutschein. Register with the Agentur für Arbeit first, then apply to a Turing College program such as AI for Business or AI Engineering. Once you have an offer, book an advisor consultation to make your case before the voucher is issued.
Does receiving Bürgergeld or Arbeitslosengeld I automatically qualify me for a Bildungsgutschein?
Receiving Bürgergeld or Arbeitslosengeld I puts you in one of the main groups the Bildungsgutschein is meant for, but approval still depends on your advisor's assessment. Your advisor's job is to confirm the training leads to real employment, so go in with proof: demand for the skills, relevance to your background, and a realistic path back to work.
Start with job ads. Pull five to 10 current listings from LinkedIn, StepStone, and Indeed. Look for job titles such: Project Manager, Analyst, Customer Success postings that ask for AI tools, automation, or data skills, and print two or three strong matches to bring with you. Then make the case for fit: AI for Business isn't a bet on one job title, it's a skill upgrade that's becoming an expectation across office roles, built for people who already know how to analyze, communicate, and manage stakeholders. You leave with a portfolio of practical projects, structured mentor feedback, and career support, CV help, LinkedIn positioning, interview prep, so you apply with proof of skills and a direction, not just a certificate.
I'm on Kurzarbeit (reduced hours). Do I still qualify for a Bildungsgutschein?
Yes. Being on Kurzarbeit is one of the situations Turing College lists as qualifying for a Bildungsgutschein, alongside a short-term contract ending in three months or less and a redundancy notice. Getting approved while still fully and securely employed is uncommon, but reduced hours count as being at risk.
My contract ends soon but I haven't been let go yet. Can I apply now?
Yes. Turing College lists a short-term contract ending within three months, or a redundancy notice, as qualifying situations for a Bildungsgutschein, alongside being unemployed or on Kurzarbeit. Register with the Agentur für Arbeit and start the process before your contract ends, since the advisor consultation and offer step take time.
Is Bildungsgutschein approval automatic once I qualify on paper?
No. Approval depends on your Agentur für Arbeit advisor's judgment, not just your employment status. That's why the application includes a dedicated consultation where you bring a valid ID, proof of residency, your CV, and evidence that the skills are in demand, then explain why the program fits your career goals.
Do I need to speak German to apply for a Bildungsgutschein?
Not for the coursework. Our programs run entirely in English.
Getting the voucher approved is harder without it, though, and for a real reason: your advisor still needs to see a realistic path to employment, and most jobs in Germany ask for German. If you're not confident in German for the consultation itself, bring someone who can translate.