TL;DR
A 500-year-old woodcarving studio from Bavaria uses AI to find church construction projects in the USA — before competitors hear about them. The system scans 16,000 websites, detects building signals, identifies the right contacts. Result: pipeline permanently full. The method works for any B2B niche.
Who is ALBL Oberammergau?
ALBL is no ordinary workshop. Since 1556 — nearly 500 years — the Albl family has been carving religious art in Oberammergau: altars, life-sized saints, crucifixes, Stations of the Cross.
Originally serving as coordinators (“Verleger”) for the famous Passion Plays, they now manage a network of sculptors, mosaic artists, and stonemasons. The work is pure handcraft — from chainsaw for rough forms to fine chisels for details.
What was the problem?
The German market for sacred art is shrinking. But in the USA, Catholic parishes are constantly building and renovating churches — seeking authentic European craftsmanship.
There are about 20,000 Catholic parishes in the USA. But only a fraction are currently planning a construction project. The traditional approach: attend trade shows, nurture contacts, hope.
It works — but slowly. And by the time ALBL heard about a project, another supplier was often already in conversation.
The question: Is there a signal that reveals a parish is building — before they actively search for suppliers?
What was the solution?
The answer: Capital Campaigns.
When a US parish plans a major construction project, they almost always launch a fundraising campaign. These campaigns are announced on the parish website — often months before the first architect is hired.
The Parish Scraper
We built a system that:
- Scans 16,000 church websites monthly — automated, running in the background
- Detects Capital Campaigns — AI analyzes text for construction signals
- Extracts details — project description, budget, timeline
- Identifies the architect — the right contact, not the pastor
- Continuously updates data — campaigns are regularly rechecked
Why the architect?
ALBL doesn’t call the pastor. They contact the architect: “When you reach the point in this project where it’s about altars or carvings — we’re your partner.”
That’s the crucial difference: Proactively entering the conversation before the decision is made.
What was the result?
~30 relevant campaigns per month. A handful with an architect already assigned — exactly the contacts ALBL needs.
The “problem” today: The pipeline is full. ALBL has more qualified contacts than they can handle.
Phase 2: Increasing capacity
This led to the next question: How can we increase capacity in order fulfillment?
In the second step, we conducted a process mapping workshop:
- All core processes documented completely for the first time
- AI potential identified and prioritized
- 4 concrete measures to implement
- 7 ideas consciously deferred
Result: A roadmap with clear priorities. Management now knows what’s next — and what’s deliberately not.
What can others learn from this?
The method is universal. What we did for church parishes works in any B2B niche.
The principle:
- Find proxy signal — What announces that someone will buy?
- Access data sources — Where does this signal become visible?
- Monitor automatically — AI scans, filters, prioritizes
- Continuously improve — Data quality increases with each iteration
Examples for other industries:
| Industry | Proxy Signal | Data Source |
|---|---|---|
| Solar installations | Building permits | Municipal registers |
| School equipment | Budget approvals | Council minutes |
| Office furniture | Lease expirations | Real estate portals |
| Industrial suppliers | Investment announcements | Press releases |
FAQ
Does this only work for church projects?
No. The method works anywhere there’s a publicly visible signal that announces a purchasing decision. Church parishes are just one example — the same principle applies to schools, municipalities, companies.
How long does it take to build such a system?
The first prototype was ready after 4 weeks. Then continuous improvement: better signals, more accurate extraction, more data sources. The system learns along the way.
Do you need a large IT team for this?
No. ALBL has no IT team. The solution runs as a service — ALBL receives qualified leads monthly without worrying about the technology.
What does something like this cost?
Less than a full-time sales person. The ROI is measurable: How many leads, how many closes, what’s an order worth?
Does this replace personal sales?
No. It makes sales more effective. Instead of cold calling, you’re talking to people who are currently planning a relevant project. It’s a different conversation.
Conclusion
A 500-year-old craft meets modern AI — not to replace the art, but to find the right commissions.
ALBL still carves by hand, as they have for 14 generations. But they now know earlier than anyone else where their art is needed.
This is AI in the Mittelstand: Not revolution, but evolution. Not replacement, but extension. And in the end: full order books. How similar automation works in B2B sales is shown in our case study with schoene neue kinder.
Facing a similar challenge? Let’s talk about it.